Daniel E. Quevedo
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View article: Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency
Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency Open
We address fair sensor scheduling over bandwidth-constrained communication channels. While existing literature on fair scheduling overlooks overall system efficiency, we introduce a novel $q$-fairness framework to balance efficiency and fa…
View article: Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation
Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation Open
This paper considers the optimal power allocation of a jamming attacker against remote state estimation. The attacker is self-sustainable and can harvest energy from the environment to launch attacks. The objective is to carefully allocate…
View article: Safety Filters Against Actuator Attacks
Safety Filters Against Actuator Attacks Open
This manuscript focuses on mitigating the effect of deception attacks on control signals, that is, in the presence of an adversary that tampers with data coming from the controller to the system actuators in order to degrade the plant perf…
View article: Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation
Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation Open
Software rejuvenation is a cyberdefense mechanism that periodically resets the control software of a system to limit the impact of cyberattacks. We propose open and closed-loop tree-based model predictive controllers to explicitly account …
View article: Wireless Human-Machine Collaboration in Industry 5.0
Wireless Human-Machine Collaboration in Industry 5.0 Open
Wireless Human-Machine Collaboration (WHMC) represents a critical advancement for Industry 5.0, enabling seamless interaction between humans and machines across geographically distributed systems. As the WHMC systems become increasingly im…
View article: Extending direct data-driven predictive control towards systems with finite control sets
Extending direct data-driven predictive control towards systems with finite control sets Open
Although classical model predictive control with finite control sets (FCS-MPC) is quite a popular control method, particularly in the realm of power electronics systems, its direct data-driven predictive control (FCS-DPC) counterpart has r…
View article: Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey
Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey Open
Networked systems are increasingly the target of cyberattacks that exploit vulnerabilities within digital communications, embedded hardware, and software. Arguably, the simplest class of attacks -- and often the first type before launching…
View article: Remote State Estimation with Privacy Against Active Eavesdroppers
Remote State Estimation with Privacy Against Active Eavesdroppers Open
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 received from a sensor. Transmissions from the sensor occur via an…
View article: Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management
Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management Open
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 power exchange. Providing a schedule of this bidirectional pow…
View article: Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach Open
For cyber-physical systems in the 6G era, semantic communications connecting distributed devices for dynamic control and remote state estimation are required to guarantee application-level performance, not merely focus on communication-cen…
View article: Ensemble Nonlinear Model Predictive Control for Residential Solar-Battery Energy Management
Ensemble Nonlinear Model Predictive Control for Residential Solar-Battery Energy Management Open
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 power exchange. Providing a schedule of this bidirectional pow…
View article: Special issue on control technology for networked and distributed robotics
Special issue on control technology for networked and distributed robotics Open
"Special issue on control technology for networked and distributed robotics." Advanced Robotics, 37(1-2), p. 1
View article: Event-Triggered Transmission Policies for Nonlinear Control Systems Over Erasure Channels
Event-Triggered Transmission Policies for Nonlinear Control Systems Over Erasure Channels Open
International audience
View article: Remote State Estimation with Privacy Against Eavesdroppers
Remote State Estimation with Privacy Against Eavesdroppers Open
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 legitimate user estimates the state of a linear plant from …
View article: Structure-Enhanced DRL for Optimal Transmission Scheduling
Structure-Enhanced DRL for Optimal Transmission Scheduling Open
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, we focus on the transmission scheduling problem of a remote estimation system. First, we derive some …
View article: Innovation-Based Remote State Estimation Secrecy with no Acknowledgments
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments Open
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 transmitter's knowledge of the remote estimator's current performanc…
View article: Remote State Estimation with Privacy Against Eavesdroppers
Remote State Estimation with Privacy Against Eavesdroppers Open
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 legitimate user estimates the state of a linear plant from …
View article: Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling Open
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, by leveraging the theoretical results of structural properties of optimal scheduling policies, we dev…
View article: Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach Open
Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost deployment of control systems in the Industry 4.0 era. Despit…
View article: Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation Open
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 for safety or commercial reasons it is necessary to ensure c…
View article: Transmission Power Policies for Energy-Efficient Wireless Control of Nonlinear Systems
Transmission Power Policies for Energy-Efficient Wireless Control of Nonlinear Systems Open
International audience
View article: Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes Open
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 communication channels. A key difficulty of the situation at …
View article: Centralized Model-Predictive Control with Human-Driver Interaction for Platooning
Centralized Model-Predictive Control with Human-Driver Interaction for Platooning Open
Cooperative adaptive cruise control presents an opportunity to improve road transportation through increase in road capacity and reduction in energy use and accidents. Clever design of control algorithms and communication systems is requir…
View article: Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels
Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels Open
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-Markov process which captures both the random holding perio…
View article: Transmission power policies for energy-efficient wireless control of nonlinear system
Transmission power policies for energy-efficient wireless control of nonlinear system Open
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 system, in a stochastic sense, together with given control perfo…
View article: Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control Open
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 elements of stochastic systems theory, we derive a sufficient sta…
View article: Guest Editorial Model Predictive Control in Energy Conversion Systems
Guest Editorial Model Predictive Control in Energy Conversion Systems Open
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View article: Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels Open
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We answer the following open problem: what is the fundamental r…