Daniel E. Quevedo

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 135

Top Venues

CoRR

IEEE Trans. Autom. Control.

Autom.

CDC

Publications

Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic
Structure-Enhanced DRL for Optimal Transmission Scheduling. IEEE Trans. Wirel. Commun. 23 (1) (2024)
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Deep Learning for Wireless-Networked Systems: A Joint Estimation-Control-Scheduling Approach. IEEE Internet Things J. 11 (3) (2024)
Yake Yang, Yuzhe Li, Yang Shi, Daniel E. Quevedo
The Vulnerability Analysis of Remote Estimation With Batch-Data Detectors Against Integrity Attacks. IEEE Trans. Autom. Control. 69 (5) (2024)
Wanchun Liu, Alex S. Leong, Daniel E. Quevedo
Thompson sampling for networked control over unknown channels. Autom. 165 (2024)
Xinhao Yan, Guanzhong Zhou, Daniel E. Quevedo, Carlos Murguia, Bo Chen, Hailong Huang
Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey. CoRR (2024)
Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
Extending direct data-driven predictive control towards systems with finite control sets. CoRR (2024)
Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
Extending Direct Data-Driven Predictive Control Towards Systems with Finite Control Sets. ECC (2024)
Fuyi Qu, Nachuan Yang, Hao Liu, Yuzhe Li, Daniel E. Quevedo
Time-Stamp Attacks on Remote State Estimation in Cyber-Physical Systems. IEEE Trans. Control. Netw. Syst. 11 (1) (2024)
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
Remote State Estimation with Privacy Against Active Eavesdroppers. CoRR (2023)
Justin M. Kennedy, Julian Heinovski, Daniel E. Quevedo, Falko Dressler
Centralized Model Predictive Control With Human-Driver Interaction for Platooning. IEEE Trans. Veh. Technol. 72 (10) (2023)
Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo, Chih Feng Lee, Changfu Zou
Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management. IEEE Trans. Control. Syst. Technol. 31 (5) (2023)
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
Event-Triggered Transmission Policies for Nonlinear Control Systems Over Erasure Channels. IEEE Control. Syst. Lett. 7 (2023)
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach. CoRR (2023)
Masaaki Nagahara, Kai Cai, Debasish Chatterjee, Nikhil Chopra, Takeshi Hatanaka, Yutaka Hori, Hideaki Ishii, Daniel E. Quevedo, Michel A. Reniers
Special issue on control technology for networked and distributed robotics. Adv. Robotics 37 (1-2) (2023)
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling. ICC (2023)
Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo, Chih Feng Lee, Changfu Zou
Ensemble Nonlinear Model Predictive Control for Residential Solar-Battery Energy Management. CoRR (2023)
Wanchun Liu, Daniel E. Quevedo, Karl Henrik Johansson, Branka Vucetic, Yonghui Li
Stability Conditions for Remote State Estimation of Multiple Systems Over Multiple Markov Fading Channels. IEEE Trans. Autom. Control. 68 (7) (2023)
Vineeth Satheeskumar Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
Transmission Power Policies for Energy-Efficient Wireless Control of Nonlinear Systems. IEEE Trans. Autom. Control. 68 (6) (2023)
Alex S. Leong, Daniel E. Quevedo, Wanchun Liu
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes. IEEE Trans. Autom. Control. 68 (12) (2023)
Lixin Yang, Yong Xu, Zenghong Huang, Hong-Xia Rao, Daniel E. Quevedo
Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint. IEEE Trans. Ind. Informatics 19 (3) (2023)
Jingyi Lu, Daniel E. Quevedo, Vijay Gupta, Subhrakanti Dey
Stealthy Hacking and Secrecy of Controlled State Estimation Systems With Random Dropouts. IEEE Trans. Autom. Control. 68 (1) (2023)
Masaaki Nagahara, Kai Cai, Debasish Chatterjee, Nikhil Chopra, Takeshi Hatanaka, Yutaka Hori, Hideaki Ishii, Daniel E. Quevedo, Michel A. Reniers
Special issue on control technology for networked and distributed robotics (Part II). Adv. Robotics 37 (3) (2023)
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Semantic-Aware Transmission Scheduling: A Monotonicity-Driven Deep Reinforcement Learning Approach. IEEE Commun. Lett. 27 (12) (2023)
Yuzhe Li, Yake Yang, Zhengen Zhao, Jing Zhou, Daniel E. Quevedo
Deception Attacks on Remote Estimation With Disclosure and Disruption Resources. IEEE Trans. Autom. Control. 68 (7) (2023)
Yong Xu, Haoxiang Xiang, Lixin Yang, Renquan Lu, Daniel E. Quevedo
Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation. Autom. 158 (2023)
Jingyi Lu, Daniel E. Quevedo
A jointly optimal design of control and scheduling in networked systems under denial-of-service attacks. Autom. 148 (2023)
Robert C. Ballam, Aaron McFadyen, Daniel E. Quevedo
Local Averaging for Consensus Over Communication Links With Random Dropouts. IEEE Control. Syst. Lett. 7 (2023)
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
Stability Conditions for Remote State Estimation of Multiple Systems Over Semi-Markov Fading Channels. IEEE Control. Syst. Lett. 6 (2022)
Justin M. Kennedy, Julian Heinovski, Daniel E. Quevedo, Falko Dressler
Centralized Model-Predictive Control with Human-Driver Interaction for Platooning. CoRR (2022)
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation. ANZCC (2022)
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation. CoRR (2022)
Yue Zhao, Xin Du, Chunjie Zhou, Yu-Chu Tian, Xiaoya Hu, Daniel E. Quevedo
Adaptive Resilient Control of Cyber-Physical Systems Under Actuator and Sensor Attacks. IEEE Trans. Ind. Informatics 18 (5) (2022)
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
Remote State Estimation with Privacy Against Eavesdroppers. CoRR (2022)
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling. CoRR (2022)
Alex S. Leong, Daniel E. Quevedo
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation. CoRR (2022)
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic
Remote State Estimation With Smart Sensors Over Markov Fading Channels. IEEE Trans. Autom. Control. 67 (6) (2022)
Robert C. Ballam, Aaron McFadyen, Daniel E. Quevedo
H2 Controller Design for Multi-Agent Systems with Markovian Switching Topologies. ANZCC (2022)
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels. CoRR (2022)
Zahra Jadidi, Joshua Hagemann, Daniel E. Quevedo
Multi-step attack detection in industrial control systems using causal analysis. Comput. Ind. 142 (2022)
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo, Falko Dressler
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments. CoRR (2022)
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic
Structure-Enhanced DRL for Optimal Transmission Scheduling. CoRR (2022)
Marvin Lücke, Jingyi Lu, Daniel E. Quevedo
Coding for Secrecy in Remote State Estimation With an Adversary. IEEE Trans. Autom. Control. 67 (9) (2022)
Yong Xu, Weijun Lv, Weiqun Lin, Renquan Lu, Daniel E. Quevedo
On extended state estimation for nonlinear uncertain systems with round-robin protocol. Autom. 138 (2022)
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Anytime Control Under Practical Communication Models. IEEE Trans. Autom. Control. 67 (10) (2022)
Arunselvan Ramaswamy, Adrian Redder, Daniel E. Quevedo
Optimization Over Time-Varying Networks and Unbounded Information Delays. IEEE Trans. Autom. Control. 67 (8) (2022)
Moritz Schulze Darup, Gerrit Book, Daniel E. Quevedo, Masaaki Nagahara
Fast Hands-Off Control Using ADMM Real-Time Iterations. IEEE Trans. Autom. Control. 67 (10) (2022)
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach. CoRR (2022)
Lingying Huang, Kemi Ding, Alex S. Leong, Daniel E. Quevedo, Ling Shi
Encryption scheduling for remote state estimation under an operation constraint. Autom. 127 (2021)
Jingyi Lu, Daniel E. Quevedo
Co-design of Control and Scheduling in Networked Systems under Denial-of-Service attacks. CoRR (2021)
Wanchun Liu, Daniel E. Quevedo, Karl Henrik Johansson, Branka Vucetic, Yonghui Li
Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels. CoRR (2021)
Atreyee Kundu, Daniel E. Quevedo
On Periodic Scheduling and Control for Networked Systems Under Random Data Loss. IEEE Trans. Control. Netw. Syst. 8 (4) (2021)
Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning. IEEE Trans. Autom. Control. 66 (9) (2021)
Mingjing Sun, Chengcheng Zhao, Jianping He, Peng Cheng, Daniel E. Quevedo
Privacy-Preserving Correlated Data Publication: Privacy Analysis and Optimal Noise Design. IEEE Trans. Netw. Sci. Eng. 8 (3) (2021)
Kemi Ding, Xiaoqiang Ren, Alex S. Leong, Daniel E. Quevedo, Ling Shi
Remote State Estimation in the Presence of an Active Eavesdropper. IEEE Trans. Autom. Control. 66 (1) (2021)
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
Transmission power policies for energy-efficient wireless control of nonlinear system. CoRR (2021)
Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control. CoRR (2021)
Jingyi Lu, Daniel E. Quevedo, Vijay Gupta, Subhrakanti Dey
Stealthy hacking and secrecy of controlled state estimation systems with random dropouts. CoRR (2020)
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
Stochastic predictive control under intermittent observations and unreliable actions. Autom. 118 (2020)
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
Time-based transmission power policies for energy-efficient wireless control of nonlinear systems. CDC (2020)
Yogesh Kumar, Sukumar Srikant, Masaaki Nagahara, Debasish Chatterjee, Daniel E. Quevedo
Maximum hands-off feedback control for finite-time stabilization. CDC (2020)
Kemi Ding, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
Defensive deception against reactive jamming attacks in remote state estimation. Autom. 113 (2020)
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic
Remote State Estimation with Smart Sensors over Markov Fading Channels. CoRR (2020)
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi
Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems. Autom. 113 (2020)
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Anytime Control with Markovian Computation and Communication Resources. CoRR (2020)
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
A Game-Theoretic Approach to Covert Communications. PIMRC (2020)
Atreyee Kundu, Daniel E. Quevedo
Design of periodic scheduling and control for networked systems under random data loss. CoRR (2020)
Marius Protte, Rene Fahr, Daniel E. Quevedo
Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy. CoRR (2020)
Moritz Schulze Darup, Andreea B. Alexandru, Daniel E. Quevedo, George J. Pappas
Encrypted control for networked systems - An illustrative introduction and current challenges. CoRR (2020)
Atreyee Kundu, Daniel E. Quevedo
Stabilizing Scheduling Policies for Networked Control Systems. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Alex S. Leong, Daniel E. Quevedo, Daniel Dolz, Subhrakanti Dey
Transmission Scheduling for Remote State Estimation Over Packet Dropping Links in the Presence of an Eavesdropper. IEEE Trans. Autom. Control. 64 (9) (2019)
Yuqing Ni, Alex S. Leong, Daniel E. Quevedo, Ling Shi
Pricing and Selection of Channels for Remote State Estimation Using a Stackelberg Game Framework. IEEE Trans. Signal Inf. Process. over Networks 5 (4) (2019)
Alex S. Leong, Daniel E. Quevedo, Daniel Dolz, Subhrakanti Dey
Information Bounds for State Estimation in the Presence of an Eavesdropper. IEEE Control. Syst. Lett. 3 (3) (2019)
Markus J. Kögel, Daniel E. Quevedo, Rolf Findeisen
Combined control and communication scheduling for constrained system using robust output feedback MPC. ECC (2019)
Steffi Knorn, Subhrakanti Dey, Anders Ahlén, Daniel E. Quevedo
Optimal Energy Allocation in Multisensor Estimation Over Wireless Channels Using Energy Harvesting and Sharing. IEEE Trans. Autom. Control. 64 (10) (2019)
Moritz Schulze Darup, Adrian Redder, Daniel E. Quevedo
Encrypted Cooperative Control Based on Structured Feedback. IEEE Control. Syst. Lett. 3 (1) (2019)
Lingying Huang, Alex S. Leong, Daniel E. Quevedo, Ling Shi
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost. ACC (2019)
Jingyi Lu, Alex S. Leong, Daniel E. Quevedo
An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper. CoRR (2019)
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
Deep reinforcement learning for scheduling in large-scale networked control systems. CoRR (2019)
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
A Game-Theoretic Approach to Covert Communications. CoRR (2019)
Kemi Ding, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
DoS Attacks on Remote State Estimation With Asymmetric Information. IEEE Trans. Control. Netw. Syst. 6 (2) (2019)
Knut Graichen, Daniel E. Quevedo
Ausgewählte Beiträge des GMA-Fachausschusses 1.50. Autom. 67 (12) (2019)
Navid Noroozi, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, Rolf Findeisen
On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. CDC (2019)
Atreyee Kundu, Daniel E. Quevedo
Stabilizing Scheduling Policies for Networked Control Systems. CoRR (2019)
Lingying Huang, Alex S. Leong, Daniel E. Quevedo, Ling Shi
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost. CoRR (2019)
Burak Demirel, Alex S. Leong, Vijay Gupta, Daniel E. Quevedo
Tradeoffs in Stochastic Event-Triggered Control. IEEE Trans. Autom. Control. 64 (6) (2019)
Ziyang Guo, Dawei Shi, Daniel E. Quevedo, Ling Shi
Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach. IEEE Trans. Signal Process. 67 (1) (2019)
Thuy V. Dang, Keck Voon Ling, Daniel E. Quevedo
Stability Analysis of Event-Triggered Anytime Control With Multiple Control Laws. IEEE Trans. Autom. Control. 64 (1) (2019)
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
Stabilizing Stochastic Predictive Control Under Bernoulli Dropouts. IEEE Trans. Autom. Control. 63 (6) (2018)
Moritz Schulze Darup, Adrian Redder, Iman Shames, Farhad Farokhi, Daniel E. Quevedo
Towards Encrypted MPC for Linear Constrained Systems. IEEE Control. Syst. Lett. 2 (2) (2018)
Moritz Schulze Darup, Adrian Redder, Daniel E. Quevedo
A fixed-point implementation of explicit MPC laws. ACC (2018)
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
Transmission scheduling for remote state estimation and control with an energy harvesting sensor. Autom. 91 (2018)
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling. CoRR (2018)
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo, Mikael Johansson
Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
Sparse and constrained stochastic predictive control for networked systems. Autom. 87 (2018)
Shuai Liu, Lihua Xie, Daniel E. Quevedo
Event-Triggered Quantized Communication-Based Distributed Convex Optimization. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Alex S. Leong, Adrian Redder, Daniel E. Quevedo, Subhrakanti Dey
On the Use of Artificial Noise for Secure State Estimation in the Presence of Eavesdroppers. ECC (2018)
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems. CoRR (2018)
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling. IEEE Control. Syst. Lett. 2 (4) (2018)
Daniel Dolz, Daniel E. Quevedo, Ignacio Peñarrocha, Alex S. Leong, Roberto Sanchis
Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels [Extended]. CoRR (2017)
Daniel Dolz, Daniel E. Quevedo, Ignacio Peñarrocha, Alex S. Leong, Roberto Sanchis
Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels. Autom. 81 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel E. Quevedo