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Towards White-box Benchmarks for Algorithm ControlJun 18 2019The performance of many algorithms in the fields of hard combinatorial problem solving, machine learning or AI in general depends on tuned hyperparameter configurations. Automated methods have been proposed to alleviate users from the tedious and error-prone ... More
From Facility to Application Sensor Data: Modular, Continuous and Holistic Monitoring with DCDBJun 18 2019Today's HPC installations are highly-complex systems, and their complexity will only increase as we move to exascale and beyond. At each layer, from facilities to systems, from runtimes to applications, a wide range of tuning decisions must be made in ... More
A Global Solution Method for Decentralized Multi-Area SCUC and Savings Allocation Based on MILP Value FunctionsJun 17 2019To address the issue that Lagrangian dual function based algorithms cannot guarantee convergence and global optimality for decentralized multi-area security constrained unit commitment (M-SCUC) problems, a novel decomposition and coordination method using ... More
Of Cores: A Partial-Exploration Framework for Markov Decision ProcessesJun 17 2019We introduce a framework for approximate analysis of Markov decision processes (MDP) with bounded-, unbounded-, and infinite-horizon properties. The main idea is to identify a ``core'' of an MDP, i.e., a subsystem where we provably remain with high probability, ... More
Trajectory Tracking for Quadrotors with Attitude Control on $\mathcal{S}^2 \times \mathcal{S}^1$Jun 17 2019The control of a quadrotor is typically split into two subsequent problems: finding desired accelerations to control its position, and controlling its attitude and the total thrust to track these accelerations and to track a yaw angle reference. While ... More
Optimal Combination of Frequency Control and Peak Shaving with Battery Storage SystemsJun 17 2019Combining revenue streams by providing multiple services with battery storage systems increases profitability and enhances the investment case. In this work, we present a novel optimisation and control framework that enables a storage system to optimally ... More
Post-disaster Repair Scheduling in Partially Automated Electricity Distribution NetworksJun 15 2019Natural disasters require repairing all damaged components in electricity distribution networks. Optimal scheduling repair crews to minimize the aggregate duration of interruptions reduces the harm. We consider the fact that the number of switches is ... More
Control-Aware Scheduling for Low Latency Wireless Systems with Deep LearningJun 14 2019We consider the problem of scheduling transmissions over low-latency wireless communication links to control various control systems. Low-latency requirements are critical in developing wireless technology for industrial control and Tactile Internet, ... More
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning ApproachJun 14 2019Probabilistic power flow (PPF) plays a critical role in the analysis of power systems. However, its high computational burden makes practical implementations challenging. This paper proposes a model-based deep learning approach to overcome these computational ... More
Robust Regression for Safe Exploration in ControlJun 13 2019We study the problem of safe learning and exploration in sequential control problems. The goal is to safely collect data samples from an operating environment to learn an optimal controller. A central challenge in this setting is how to quantify uncertainty ... More
Modeling and Control of Combustion Phasing in Dual-Fuel Compression Ignition EnginesJun 13 2019Dual fuel engines can achieve high efficiencies and low emissions but also can encounter high cylinder-to-cylinder variations on multi-cylinder engines. In order to avoid these variations, they require a more complex method for combustion phasing control ... More
Knock Intensity Distribution and a Stochastic Control Framework for Knock ControlJun 13 2019One of the main factors limiting the efficiency of spark-ignited engines is the occurrence of engine knock. In high temperature and high pressure in-cylinder conditions, the fuel-air mixture auto-ignites creating pressure shock waves in the cylinder. ... More
Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning ApproachJun 13 2019In this paper, we propose a network scenario where the baseband processes of the virtual small cells powered solely by energy harvesters and batteries can be opportunistically executed in a grid-connected edge computing server, co-located at the macro ... More
Modeling and Verifying Cyber-Physical Systems with Hybrid Active ObjectsJun 13 2019Formal modeling of cyber-physical systems (CPS) is hard, because they pose the double challenge of combined discrete-continuous dynamics and concurrent behavior. Existing formal specification and verification languages for CPS are designed on top of their ... More
Variance Estimation For Online Regression via Spectrum ThresholdingJun 13 2019We consider the online linear regression problem, where the predictor vector may vary with time. This problem can be modelled as a linear dynamical system, where the parameters that need to be learned are the variance of both the process noise and the ... More
Game-Theoretic Mixed $H_2/H_{\infty}$ Control with Sparsity Constraint for Multi-agent Networked Control SystemsJun 13 2019Multi-agent networked control systems (NCSs) are often subject to model uncertainty and are limited by large communication cost, associated with feedback of data between the system nodes. To provide robustness against model uncertainty and to reduce the ... More
On Feasibility and Flexibility Operating Regions of Virtual Power Plants and TSO/DSO interfacesJun 13 2019Distributed energy resources are an ideal candidate for the provision of additional flexibility required by power system to support the increasing penetration of renewable energy sources. The integrating large number of resources in the existing market ... More
Coordinated Path Following Control of Fixed-wing Unmanned Aerial VehiclesJun 13 2019In this paper, we investigate the problem of coordinated path following for fixed-wing UAVs with speed constraints in 2D plane. The objective is to steer a fleet of UAVs along the path(s) while achieving the desired sequenced inter-UAV arc distance. In ... More
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear SystemsJun 12 2019In this work, we consider the adaptive nonlinear control problem for strict feedback nonlinear systems, where the functions that determine the dynamics of the system are completely unknown. We assume that certain upper bounds for the functions $g_i$s ... More
Memory Augmented Neural Network Adaptive Controller for Strict Feedback Nonlinear SystemsJun 12 2019Jun 16 2019In this work, we consider the adaptive nonlinear control problem for strict feedback nonlinear systems, where the functions that determine the dynamics of the system are completely unknown. We assume that certain upper bounds for the functions $g_i$s ... More
A steady-state stability analysis of uniform synchronous power grid topologiesJun 12 2019Motter et al. derived a real-valued master stability function which determines whether and to what degree a given power grid is asymptotically stable. Stright and Edrington adopted certain uniformity assumptions on a grid's components and demonstrated ... More
Model-Free Practical Cooperative Control for Diffusively Coupled SystemsJun 12 2019Jun 13 2019In this paper, we develop a data-based controller design framework for diffusively coupled systems with guaranteed convergence to an $\epsilon$-neighborhood of the desired formation. The controller is comprised of a fixed controller with an adjustable ... More
Model-Free Practical Cooperative Control for Diffusively Coupled SystemsJun 12 2019Jun 14 2019In this paper, we develop a data-based controller design framework for diffusively coupled systems with guaranteed convergence to an $\epsilon$-neighborhood of the desired formation. The controller is comprised of a fixed controller with an adjustable ... More
Model-Free Practical Cooperative Control for Diffusively Coupled SystemsJun 12 2019In this paper, we develop a data-based controller design framework for diffusively coupled systems with guaranteed convergence to an $\epsilon$-neighborhood of the desired formation. The controller is comprised of a fixed controller with an adjustable ... More
A Passivity Enforcement Technique for Forced Oscillation Source LocationJun 12 2019This paper develops a systematic framework for analyzing how low frequency forced oscillations propagate in electric power systems. Using this framework, the paper shows how to mathematically justify the so-called Dissipating Energy Flow (DEF) forced ... More
A Survey of Autonomous Driving: Common Practices and Emerging TechnologiesJun 12 2019Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of state-of-the-art ... More
Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference TrackingJun 12 2019Model-free control based on the idea of Reinforcement Learning is a promising control approach that has recently gained extensive attention. However, most Reinforcement-Learning-based control methods solely focus on the regulation problem or learn to ... More
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing SystemJun 12 2019Heavy data load and wide cover range have always been crucial problems for online data processing in internet of things (IoT). Recently, mobile-edge computing (MEC) and unmanned aerial vehicle base stations (UAV-BSs) have emerged as promising techniques ... More
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular NetworksJun 12 2019Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G communication infrastructure in future smart cities. Hot spots easily appear in road intersections, where effective communication among vehicles is challenging. UAVs may serve as relays ... More
Adaptive Resource Management for a Virtualized Computing Platform within Edge ComputingJun 12 2019In virtualized computing platforms, energy consumption is related to the computing-plus-communication processes. However, most of the proposed energy consumption models and energy saving solutions found in literature consider only the active Virtual Machines ... More
A hierarchical Lyapunov-based cascade adaptive control scheme for lower-limb exoskeletonJun 12 2019This paper proposes a hierarchical Lyapunov-based adaptive cascade control scheme for a lower-limb exoskeleton with control saturation. The proposed approach is composed by two control levels with cascade structure. At the higher layer of the structure, ... More
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception CuesJun 12 2019Underwater robot interventions require a high level of safety and reliability. A major challenge to address is a robust and accurate acquisition of localization estimates, as it is a prerequisite to enable more complex tasks, e.g. floating manipulation ... More
Lyapunov Differential Equation Hierarchy and Polynomial Lyapunov Functions for Switched Linear SystemsJun 11 2019Jun 13 2019In this work, we address the problem of searching for homogeneous polynomial Lyapunov functions for stable switched linear systems. Specifically, we show an equivalence between polynomial Lyapunov functions for switched linear systems and quadratic Lyapunov ... More
Lyapunov Differential Equation Hierarchy and Polynomial Lyapunov Functions for Switched Linear SystemsJun 11 2019In this work, we address the problem of searching for homogeneous polynomial Lyapunov functions for stable switched linear systems. Specifically, we show an equivalence between polynomial Lyapunov functions for switched linear systems and quadratic Lyapunov ... More
Deep 2FBSDEs for Systems with Control Multiplicative NoiseJun 11 2019We present a deep recurrent neural network architecture to solve a class of stochastic optimal control problems described by fully nonlinear Hamilton Jacobi Bellman partial differential equations. Such PDEs arise when one considers stochastic dynamics ... More
Hybrid Nonlinear Observers for Inertial Navigation Using Landmark MeasurementsJun 11 2019This paper considers the problem of attitude, position and linear velocity estimation for rigid body systems relying on landmark measurements. We propose two hybrid nonlinear observers on the matrix Lie group $SE_2(3)$, leading to global exponential stability. ... More
Data-Driven Model Predictive Control with Stability and Robustness GuaranteesJun 11 2019We propose a robust data-driven model predictive control (MPC) scheme to control linear time-invariant (LTI) systems. The scheme uses an implicit model description based on behavioral systems theory and past measured trajectories. In particular, it does ... More
Traffic signal control optimization under severe incident conditions using Genetic AlgorithmJun 11 2019Traffic control optimization is a challenging task for various traffic centres in the world and majority of approaches focus only on applying adaptive methods under normal (recurrent) traffic conditions. But optimizing the control plans when severe incidents ... More
Anomaly Detection in High Performance Computers: A Vicinity PerspectiveJun 11 2019In response to the demand for higher computational power, the number of computing nodes in high performance computers (HPC) increases rapidly. Exascale HPC systems are expected to arrive by 2020. With drastic increase in the number of HPC system components, ... More
Optimal In-field Routing for Full and Partial Field Coverage with Arbitrary Non-Convex Fields and Multiple Obstacle AreasJun 10 2019Within the context of logistical optimisation in agriculture this paper discusses optimal in-field routing for full and partial field coverage with arbitrary non-convex fields and multiple obstacle areas. It is distinguished between 9 different in-field ... More
Feedback Linearization for Quadrotors UAVJun 10 2019In the paper "Control Design for UAV Quadrotors via Embedded Model Control" [1], the authors designed a complete control unit for a UAV Quadrotor, based on the Embedded Model Control (EMC) methodology, in combination with the Feedback Linearization (FL); ... More
Multi-Level Taxonomy and Critical Review of Eco-Routing MethodsJun 10 2019Routing decisions are initially based on minimizing travel time. Nevertheless, eco-routing considers the environmental aspect (e.g. emissions, fuel, and exposure) and was introduced to replace the initial routing concept to mitigate the undesirable impact ... More
Sequential Source Coding for Stochastic Systems Subject to Finite Rate ConstraintsJun 10 2019In this paper, we apply a sequential source coding framework to analyze fundamental performance limitations of stochastic control systems subject to feedback data-rate constraints. We first show that the characterization of the rate-distortion region ... More
A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor NetworksJun 09 2019This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and ... More
Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor NetworksJun 07 2019Communication load is a limiting factor in many real-time systems. Event-triggered state estimation and event-triggered learning methods reduce network communication by sending information only when it cannot be adequately predicted based on previously ... More
Key Ingredients of Self-Driving CarsJun 07 2019Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area, such as visual environment perception, vehicle control, etc. Furthermore, due to fast ... More
Model predictive control with stage cost shaping inspired by reinforcement learningJun 06 2019This work presents a suboptimality study of a particular model predictive control with a stage cost shaping based on the ideas of reinforcement learning. The focus of the suboptimality study is to derive quantities relating the infinite-horizon cost function ... More
Localization Requirements for Autonomous VehiclesJun 03 2019Autonomous vehicles require precise knowledge of their position and orientation in all weather and traffic conditions for path planning, perception, control, and general safe operation. Here we derive these requirements for autonomous vehicles based on ... More
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor controlJun 03 2019Human sensorimotor control exhibits remarkable speed and accuracy, as celebrated in Fitts' law for reaching. Much less studied is how this is possible despite being implemented by neurons and muscle components with severe speed-accuracy tradeoffs (SATs). ... More
Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor controlJun 03 2019Jun 09 2019Human sensorimotor control exhibits remarkable speed and accuracy, as celebrated in Fitts' law for reaching. Much less studied is how this is possible despite being implemented by neurons and muscle components with severe speed-accuracy tradeoffs (SATs). ... More
Automated Steel Bar Counting and Center Localization with Convolutional Neural NetworksJun 03 2019Automated steel bar counting and center localization plays an important role in the factory automation of steel bars. Traditional methods only focus on steel bar counting and their performances are often limited by complex industrial environments. Convolutional ... More
State Monitoring for Situational Awareness in Rural Microgrids Using the IoT InfrastructureJun 02 2019This paper presents an event-triggered estimation strategy and a data collection architecture for situational awareness (SA) in microgrids. An estimation agent structure based on the event-triggered Kalman filter is proposed and implemented for state ... More
A Trust Management and Misbehaviour Detection Mechanism for Multi-Agent Systems and its Application to Intelligent Transportation SystemsMay 22 2019Cooperative information shared among a multi-agent system (MAS) can be useful to agents to efficiently fulfill their missions. Relying on wrong information, however, can have severe consequences. While classical approaches only consider measurement uncertainty, ... More
A Reinforcement Learning Approach for Intelligent Traffic Signal Control at Urban IntersectionsMay 19 2019Ineffective and inflexible traffic signal control at urban intersections can often lead to bottlenecks in traffic flows and cause congestion, delay, and environmental problems. How to manage traffic smartly by intelligent signal control is a significant ... More
A Fixed-Flexible BESS Allocation Scheme for Transmission Networks Considering UncertaintiesMay 18 2019Battery energy storage systems (BESSs) can play a key role in mitigating the intermittency and uncertainty associated with adding large amounts of wind energy to the bulk power system (BPS). Lithium-ion (LI) BESSs are the industry standard in this regard ... More
Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function EstimatesMay 09 2019May 28 2019This paper addresses the problem of block-online processing for multi-channel speech enhancement. We consider several variants of a system that performs beamforming supported by DNN-based Voice Activity Detection followed by post-filtering. The speaker ... More
Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function EstimatesMay 09 2019This paper addresses the problem of block-online processing for multi-channel speech enhancement. We consider several variants of a system that performs beamforming supported by DNN-based Voice Activity Detection followed by post-filtering. The speaker ... More
Selfish Energy Sharing in Prosumer Communities: A Demand-Side Management ConceptMay 08 2019Global warming is endangering the earth's ecosystem. It is imperative for us to limit green house gas emissions in order to combat rising global average temperatures. One way to move forward is the integration of renewable energy resources on all levels ... More
Superconducting Fault Current Limiter Allocation in Reconfigurable Smart GridsMay 07 2019Superconducting fault current limiters (SFCLs) are new high-precision and fast-response devices which help to reduce the fault current within the breaking capacity of the protective relays. Nevertheless, the reconfigurable structure of the distribution ... More
Optimal Storage Arbitrage under Net Metering using Linear ProgrammingMay 01 2019Jun 11 2019We formulate the optimal energy arbitrage problem for a piecewise linear cost function for energy storage devices using linear programming (LP). The LP formulation is based on the equivalent minimization of the epigraph. This formulation considers ramping ... More
A supervised-learning-based strategy for optimal demand response of an HVAC SystemApr 29 2019The large thermal capacity of buildings enables heating, ventilating, and air-conditioning (HVAC) systems to be exploited as demand response (DR) resources. Optimal DR of HVAC units is challenging, particularly for multi-zone buildings, because this requires ... More
Smart Jammer and LTE Network Strategies in An Infinite-Horizon Zero-Sum Repeated Game with Asymmetric and Incomplete InformationApr 25 2019LTE/LTE-Advanced networks are known to be vulnerable to denial-of-service and loss-of-service attacks from smart jammers. In this article, the interaction between a smart jammer and LTE network is modeled as an infinite-horizon, zero-sum, asymmetric repeated ... More
Appliance Event Detection -- A Multivariate, Supervised Classification ApproachApr 24 2019Non-intrusive load monitoring (NILM) is a modern and still expanding technique, helping to understand fundamental energy consumption patterns and appliance characteristics. Appliance event detection is an elementary step in the NILM pipeline. Unfortunately, ... More
A Distributed Privacy-preserving Incremental Update Algorithm for Probability Distribution of Wind Power Forecast ErrorApr 24 2019Establishing the conditional probability distribution (PD) of wind power forecast error (WFE) is a prerequisite for many stochastic analysis considering wind power integration. However, with the increasingly emergence of new data, the update burden of ... More
Analysis and Design of Robust Max Consensus for Wireless Sensor NetworksApr 20 2019A novel distributed algorithm for estimating the maximum of the node initial state values in a network, in the presence of additive communication noise is proposed. Conventionally, the maximum is estimated locally at each node by updating the node state ... More
Design of experiments for Quick U-building method for building energy performance measurementApr 16 2019Quick U-building (QUB) is a method for short time measurement of energy performance of buildings, typically one night. It uses the indoor air temperature response to power delivered to the indoor air by electric heaters. This paper introduces a method ... More
Investigating Data-driven systems as digital twins: Numerical behavior of Ho-Kalman method for order estimationApr 16 2019System identification has been a major advancement in the evolution of engineering. As it is by default the first step towards a significant set of adaptive control techniques, it is imperative for engineers to apply it in order to practice control. Given ... More
Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing AdversaryApr 16 2019In this paper, we consider privacy against hypothesis testing adversaries within a non-stochastic framework. We develop a theory of non-stochastic hypothesis testing by borrowing the notion of uncertain variables from non-stochastic information theory. ... More
Design of optimized backstepping controller for the synchronization of chaotic Colpitts oscillator using shark smell algorithmApr 13 2019In this paper, an adaptive backstepping controller has been tuned to synchronize two chaotic Colpitts oscillators in a master slave configuration. The parameters of the controller are determined using shark smell optimization (SSO) algorithm. Numerical ... More
Mapping prior information onto LMI eigenvalue-regions for discrete-time subspace identificationApr 11 2019In subspace identification, prior information can be used to constrain the eigenvalues of the estimated state-space model by defining corresponding LMI regions. In this paper, first we argue on what kind of practical information can be extracted from ... More
Model Predictive Control of Shallow Drowsiness: Improving Productivity of Office WorkersApr 11 2019This paper proposes a methodology of model predictive control for alleviating shallow drowsiness of office workers and thus improving their productivity. The methodology is based on dynamically scheduling setting values for air conditioning and lighting ... More
Least-Squares Parameter Estimation for State-Space Models with State Equality ConstraintsApr 10 2019If a dynamic system has active constraints on the state vector and they are known, then taking them into account during modeling is often advantageous. Unfortunately, in the constrained discrete-time state-space estimation, the state equality constraint ... More
Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-type EstimationApr 09 2019The application of traction control systems (TCS) for electric vehicles (EV) has great potential due to easy implementation of torque control with direct-drive motors. However, the control system usually requires road-tire friction and slip-ratio values, ... More
Convolutive Blind Source Separation on Surface EMG Signals for Respiratory Diagnostics and Medical Ventilation ControlApr 08 2019The electromyogram (EMG) is an important tool for assessing the activity of a muscle and thus also a valuable measure for the diagnosis and control of respiratory support. In this article we propose convolutive blind source separation (BSS) as an effective ... More
When Does a Multi-channel Linear System Have a Structurally Fixed Spectrum?Apr 02 2019It is well known that a fixed spectrum \{i.e., the set of fixed modes\} plays a central role in stabilizing a multi-channel linear system with decentralized control. A parameterized multi-channel linear system has a structurally fixed spectrum if it has ... More
Identification of Markov Jump Autoregressive Processes from Large Noisy Data SetsMar 25 2019This paper introduces a novel methodology for the identification of switching dynamics for switched autoregressive linear models. Switching behavior is assumed to follow a Markov model. The system's outputs are contaminated by possibly large values of ... More
A Unified Approach to Mitigate Voltage Jump Effects in Near Optimal Switching Surface Control of DC-DC ConvertersMar 24 2019The Equivalent Series Resistance (ESR) of the output capacitor may cause output voltage Vo jumps, that are not modeled commonly for second order DC-DC converters, i.e., converters with two second order switched subsystems. These jump discontinuities in ... More
On Approximate Nonlinear Gaussian Message Passing On Factor GraphsMar 21 2019Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capability that does not seem to be well explored within the factor graph tool ... More
Controllability-Gramian Submatrices for a Network Consensus ModelMar 21 2019Principal submatrices of the controllability Gramian and their inverses are examined, for a network-consensus model with inputs at a subset of network nodes. Specifically, several properties of the Gramian submatrices and their inverses -- including dominant ... More
Optimising maintenance: What are the expectations for Cyber Physical SystemsMar 20 2019The need for maintenance is based on the wear of components of machinery. If this need can be defined reliably beforehand so that no unpredicted failures take place then the maintenance actions can be carried out economically with mini-mum disturbances ... More
Data-driven Identification and Prediction of Power System Dynamics Using Linear OperatorsMar 15 2019In this paper, we propose linear operator theoretic framework involving Koopman operator for the data-driven identification of power system dynamics. We explicitly account for noise in the time series measurement data and propose robust approach for data-driven ... More
Delayed state synchronization of continuous-time multi-agent systems in the presence of unknown communication delays (including complete proofs)Mar 14 2019Mar 19 2019This paper studies delayed synchronization of continuous-time multi-agent systems (MAS) in the presence of unknown nonuniform communication delays. A delay-free transformation is developed based on a communication network which is a directed spanning ... More
Delayed state synchronization of homogeneous continuous-time multi-agent systems in the presence of unknown communication delays (including complete proofs)Mar 14 2019This paper studies delayed synchronization of continuous-time multi-agent systems (MAS) in presence of unknown nonuniform communication delays. A delay-free transformation is developed based on a communication network which is a directed spanning tree, ... More
Analysis of CVR Impact on Voltage Stability Margin using T&D Co-SimulationMar 12 2019Mar 21 2019This paper demonstrates the importance of modeling the distribution network for studying the impact of conservation by voltage reduction (CVR) on voltage stability margin (VSM). Since CVR is deployed in the distribution system, modeling a detailed distribution ... More
Analysis of CVR Impact on Voltage Stability Margin using T&D Co-SimulationMar 12 2019This paper demonstrates the importance of modeling the distribution network for studying the impact of conservation by voltage reduction (CVR) on voltage stability margin (VSM). Since CVR is deployed in the distribution system, modeling a detailed distribution ... More
Sign Patterns of Inverse Doubly-Nonnegative MatricesMar 11 2019The sign patterns of inverse doubly-nonnegative matrices are examined. A necessary and sufficient condition is developed for a sign matrix to correspond to an inverse doubly-nonnegative matrix. In addition, for a doubly-nonnegative matrix whose graph ... More
Sign Patterns of Inverse Doubly-Nonnegative MatricesMar 11 2019Mar 12 2019The sign patterns of inverse doubly-nonnegative matrices are examined. A necessary and sufficient condition is developed for a sign matrix to correspond to an inverse doubly-nonnegative matrix. In addition, for a doubly-nonnegative matrix whose graph ... More
Optimal discrete-time output feedback control for multi-area load frequency control using evolutionary programmingMar 07 2019The interconnected power system presents a great challenge to both system analyzers and control designers. The load-frequency control (LFC) problem has gained much importance because of the complexity and size of modern interconnected power systems. In ... More
Trajectory convergence from coordinate-wise decrease of quadratic energy functions, and applications to platoonsMar 01 2019Jun 10 2019We consider trajectories where the sign of the derivative of each entry is opposite to that of the corresponding entry in the gradient of an energy function. We show that this condition guarantees convergence when the energy function is quadratic and ... More
External Constraint Handling for Solving Optimal Control Problems with Interior Point MethodsFeb 28 2019Jun 05 2019Inactive constraints do not contribute to the solution of an optimal control problem, but increase the problem size and burden the numerical computations. We present a novel strategy for handling inactive constraints efficiently by systematically removing ... More
Radar and Communication Co-existence: an OverviewFeb 22 2019Increased amounts of bandwidth are required to guarantee both high-quality/high-rate wireless services (4G and 5G) and reliable sensing capabilities such as automotive radar, air traffic control, earth geophysical monitoring and security applications. ... More
Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak DetectionFeb 22 2019Early fault detection using instrumented sensor data is one of the promising application areas of machine learning in industrial facilities. However, it is difficult to improve the generalization performance of the trained fault-detection model because ... More
Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation ModesFeb 22 2019In industrial systems, certain process variables that need to be monitored for detecting faults are often difficult or impossible to measure. Soft sensor techniques are widely used to estimate such difficult-to-measure process variables from easy-to-measure ... More
Learning requirements for stealth attacksFeb 21 2019The learning data requirements are analyzed for the construction of stealth attacks in state estimation. In particular, the training data set is used to compute a sample covariance matrix that results in a random matrix with a Wishart distribution. The ... More
Seismic Damage Assessment of Instrumented Wood-frame Buildings: A Case-study of NEESWood Full-scale Shake Table TestsFeb 21 2019The authors propose a methodology to perform seismic damage assessment of instrumented wood-frame buildings using response measurements. The proposed methodology employs a nonlinear model-based state observer that combines sparse acceleration measurements ... More
Robust Cubature Kalman Filter for Dynamic State Estimation of Synchronous Machines under Unknown Measurement Noise StatisticsFeb 19 2019Kalman-type filtering techniques including cubature Kalman filter (CKF) does not work well in non-Gaussian environments, especially in the presence of outliers. To solve this problem, Huber's M-estimation based robust CKF (RCKF) is proposed for synchronous ... More
Implementing Homomorphic Encryption Based Secure Feedback Control for Physical SystemsFeb 19 2019This paper is about an encryption based approach to the secure implementation of feedback controllers for physical systems. Specifically, Paillier's homomorphic encryption is used in a custom digital implementation of a class of linear dynamic controllers, ... More
Implementing Homomorphic Encryption Based Secure Feedback Control for Physical SystemsFeb 19 2019Mar 27 2019This paper is about an encryption based approach to the secure implementation of feedback controllers for physical systems. Specifically, Paillier's homomorphic encryption is used to digitally implement a class of linear dynamic controllers, which includes ... More
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's SafetyFeb 12 2019Use of cooperative information, distributed by road-side units, offers large potential for intelligent vehicles (IVs). As vehicle automation progresses and cooperative perception is used to fill the blind spots of onboard sensors, the question of reliability ... More
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's SafetyFeb 12 2019May 22 2019Use of cooperative information, distributed by road-side units, offers large potential for intelligent vehicles (IVs). As vehicle automation progresses and cooperative perception is used to fill the blind spots of onboard sensors, the question of reliability ... More