no code implementations • 3 Apr 2024 • Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
We test the reformulation on a popular electrical drive example and compare the computation times of sphere decoding FCS-DPC with an enumeration-based and a MIQP method.
no code implementations • 17 Aug 2023 • Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
To maintain state confidentiality, we propose an encoding scheme that is activated on the detection of an eavesdropper.
no code implementations • 18 Mar 2023 • Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo, Chih Feng Lee, Changfu Zou
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.
no code implementations • 24 Dec 2022 • Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic
In addition, we show that the derived structural properties exist in a wide range of dynamic scheduling problems that go beyond remote state estimation.
no code implementations • 16 Dec 2022 • Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo, Falko Dressler
Aiming to achieve a reliable state estimate for a legitimate estimator while ensuring secrecy, we propose a secrecy encoding scheme without the need for packet receipt acknowledgments.
no code implementations • 24 Nov 2022 • Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
A remote legitimate user estimates the state of a linear plant from the state information received from a sensor via an insecure and unreliable network.
no code implementations • 20 Nov 2022 • Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
Furthermore, we introduce a structure-enhanced loss function to add penalty to actions that do not follow the policy structure.
no code implementations • 3 Oct 2022 • Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
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.
no code implementations • 18 Jul 2022 • 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.
no code implementations • 20 May 2022 • 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 communication channels.
no code implementations • 31 Mar 2022 • Wanchun Liu, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
In particular, we show that, from a system stability perspective, fast fading channels may be preferable to slow fading ones.
no code implementations • 18 Nov 2021 • Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
We present a controller and transmission policy design procedure for nonlinear wireless networked control systems.
no code implementations • 26 Sep 2021 • Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
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.
no code implementations • 9 Apr 2021 • Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson, Branka Vucetic, Yonghui Li
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels.
no code implementations • 10 Mar 2021 • 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.
no code implementations • 16 May 2020 • Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic
A smart sensor forwards its local state estimate to a remote estimator over a time-correlated $M$-state Markov fading channel, where the packet drop probability is time-varying and depends on the current fading channel state.
no code implementations • 15 May 2019 • Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
This work considers the problem of control and resource scheduling in networked systems.
no code implementations • 8 Mar 2018 • Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
The main contribution of this paper is to develop a deep reinforcement learning-based \emph{control-aware} scheduling (\textsc{DeepCAS}) algorithm to tackle these issues.
no code implementations • 22 Feb 2018 • Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo
In this paper, we present verifiable sufficient conditions for stability and convergence of asynchronous SAs with biased approximation errors.