Dynamic Intermittent Suboptimal Control: Performance Quantification and Comparisons
This paper presents a novel intermittent suboptimal event-triggered controller design for continuous-time nonlinear systems. The stability of the equilibrium point of the closed-loop system, and the performances are analyzed and quantified theoretically. It is proven that the static and the dynamic event-triggered suboptimal controllers have a known degree of suboptimality compared to the conventional optimal control policy. In order to generate dynamic event-triggering framework, we introduce an internal dynamical system. Moreover, the Zeno behavior is excluded. Finally, a simulation example is conducted to show the effectiveness of the proposed intermittent mechanisms.
Y. Yang et al., "Dynamic Intermittent Suboptimal Control: Performance Quantification and Comparisons," Proceedings of the 37th Chinese Control Conference (2018, Wuhan, China), pp. 2017-2022, IEEE Computer Society, Jul 2018.
The definitive version is available at https://doi.org/10.23919/ChiCC.2018.8483352
37th Chinese Control Conference, CCC (2018: Jul. 25-27, Wuhan, China)
Electrical and Computer Engineering
Keywords and Phrases
Closed loop systems; Continuous time systems; Dynamical systems; Continuous time nonlinear systems; Dynamic triggering; Event-triggered controls; Intermittent mechanism; Optimal control policy; Optimal controls; Performance analysis; Suboptimal controllers; Controllers; Dynamic triggering condition
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International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2018 Technical Committee on Control Theory, Chinese Association of Automation, All rights reserved.
01 Jul 2018