Optimality in Event-Triggered Adaptive Control of Uncertain Linear Dynamical Systems
In this paper, we propose a unified approach for the design of an event-triggering mechanism (ETM) and a state feedback controller for uncertain linear dynamical systems. The design task is formulated as a problem of finding the optimal control input while maximizing the event-triggering threshold such that a satisfactory system performance in the presence of intermittent feedback is guaranteed. In other words, we present a zero-order-hold (ZOH) and model-based event-triggering schemes along with adaptive optimal controllers which not only regulates the system but also optimizes its performance. The stability and optimality of the closed-loop system are analyzed using Lyapunov theory, and numerical results are provided to substantiate the theoretical claims.
V. Narayanan et al., "Optimality in Event-Triggered Adaptive Control of Uncertain Linear Dynamical Systems," Proceedings of the AIAA Scitech 2019 Forum (2019, San Diego, CA), American Institute of Aeronautics and Astronautics (AIAA), Jan 2019.
The definitive version is available at https://doi.org/10.2514/6.2019-2187
AIAA Scitech 2019 Forum (2019: Jan. 7-11, San Diego, CA)
Electrical and Computer Engineering
Intelligent Systems Center
Keywords and Phrases
Aviation; Closed loop systems; Controllers; Dynamical systems; Linear control systems; State feedback; Uncertainty analysis; Adaptive Control; Event-triggering schemes; Linear dynamical systems; Lyapunov theories; Numerical results; Optimal controller; State feedback controller; Unified approach; Adaptive control systems
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2019 German Aerospace Center (DLR), All rights reserved.
01 Jan 2019