182 citations · 1k across the 67 of their papers we have counts for
41 papers · 1 filter
Explicit Model Predictive Control with Quantum Encryption
Yingjie Mi, Zihao Ren, Lei Wang +2
This paper studies quantum-encrypted explicit MPC for constrained discrete-time linear systems in a cloud-based architecture. A finite-horizon quadratic MPC problem is solved offli…
Remote State Estimation with Privacy Against Active Eavesdroppers
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
This paper considers a cyber-physical system under an active eavesdropping attack. A remote legitimate user estimates the state of a linear plant from the state information receive…
Ensemble Nonlinear Model Predictive Control for Residential Solar-Battery Energy Management
Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo +2
In a dynamic distribution market environment, residential prosumers with solar power generation and battery energy storage devices can flexibly interact with the power grid via pow…
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo +1
Secrecy encoding for remote state estimation in the presence of adversarial eavesdroppers is a well studied problem. Typical existing secrecy encoding schemes rely on the transmitt…
Remote State Estimation with Privacy Against Eavesdroppers
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
We study the problem of remote state estimation in the presence of a passive eavesdropper, under the challenging network environment of no packet receipt acknowledgments. A remote…
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo +2
Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost de…
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
For geographically separated cyber-physical systems, state estimation at a remote monitoring or control site is important to ensure stability and reliability of the system. Often f…
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes
Alex S. Leong, Daniel E. Quevedo, Wanchun Liu
In this paper we consider the problem of remote state estimation of a Gauss-Markov process, where a sensor can, at each discrete time instant, transmit on one out of M different co…
Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic +1
This work studies remote state estimation of multiple linear time-invariant systems over shared wireless time-varying communication channels. We model the channel states by a semi-…
Transmission power policies for energy-efficient wireless control of nonlinear system
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo +1
We present a controller and transmission policy design procedure for nonlinear wireless networked control systems. Our objective is to ensure the stability of the closed-loop syste…
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Gaoyang Pang, Kang Huang, Daniel E. Quevedo +3
We consider a joint uplink and downlink scheduling problem of a fully distributed wireless networked control system (WNCS) with a limited number of frequency channels. Using elemen…
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson +2
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We a…
A Jointly Optimal Design of Control and Scheduling in Networked Systems under Denial-of-Service Attacks
Jingyi Lu, Daniel E. Quevedo
We consider the joint design of control and scheduling under stochastic Denial-of-Service (DoS) attacks in the context of networked control systems. A sensor takes measurements of…
Stealthy hacking and secrecy of controlled state estimation systems with random dropouts
Jingyi Lu, Daniel Quevedo, Vijay Gupta +1
We study the maximum information gain that an adversary may obtain through hacking without being detected. Consider a dynamical process observed by a sensor that transmits a local…
Encrypted control for networked systems -- An illustrative introduction and current challenges
M. Schulze Darup, A. B. Alexandru, D. E. Quevedo +1
Cloud computing and distributed computing are becoming ubiquitous in many modern control systems such as smart grids, building automation, robot swarms or intelligent transportatio…
An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper
Jingyi Lu, Alex S. Leong, Daniel E. Quevedo
We consider a remote state estimation problem in the presence of an eavesdropper over packet dropping links. A smart sensor transmits its local estimates to a legitimate remote est…
Deep reinforcement learning for scheduling in large-scale networked control systems
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
This work considers the problem of control and resource scheduling in networked systems. We present DIRA, a Deep reinforcement learning based Iterative Resource Allocation algorith…
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost
Lingying Huang, Alex S. Leong, Daniel E. Quevedo +1
In this paper, we consider a remote state estimation problem in the presence of an eavesdropper. A smart sensor takes measurement of a discrete linear time-invariant (LTI) process…
Stabilizing Scheduling Policies for Networked Control Systems
Atreyee Kundu, Daniel E. Quevedo
This paper deals with the problem of allocating communication resources for Networked Control Systems (NCSs). We consider an NCS consisting of a set of discrete-time LTI plants who…
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo +2
In many Cyber-Physical Systems, we encounter the problem of remote state estimation of geographically distributed and remote physical processes. This paper studies the scheduling o…
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo +1
We consider networked control systems consisting of multiple independent controlled subsystems, operating over a shared communication network. Such systems are ubiquitous in cyber-…
Game-Theoretic Pricing and Selection with Fading Channels
Yuqing Ni, Alex S. Leong, Daniel E. Quevedo +1
We consider pricing and selection with fading channels in a Stackelberg game framework. A channel server decides the channel prices and a client chooses which channel to use based…
Trade-Offs in Stochastic Event-Triggered Control
Burak Demirel, Alex S. Leong, Vijay Gupta +1
This paper studies the optimal output-feedback control of a linear time-invariant system where a stochastic event-based scheduler triggers the communication between the sensor and…
Stochastic Game in Remote Estimation under DoS Attacks
Kemi Ding, Subhrakanti Dey, Daniel E. Quevedo +1
This paper studies remote state estimation under denial-of-service (DoS) attacks. A sensor transmits its local estimate of an underlying physical process to a remote estimator via…