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.

Meeting Name

37th Chinese Control Conference, CCC (2018: Jul. 25-27, Wuhan, China)


Electrical and Computer Engineering

Research Center/Lab(s)

Center for High Performance Computing Research


This work was supported in part by the National Natural Science Foundation of China (NSFC Grant No. 61333002 and No. 61473032), Fundamental Research Funds for the China Central Universities of USTB (FRF-GF-17-B48), the Mary K. Finley Endowment, the Missouri S&T Intelligent Systems Center and the National Science Foundation.

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

International Standard Book Number (ISBN)


International Standard Serial Number (ISSN)


Document Type

Article - Conference proceedings

Document Version


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© 2018 Technical Committee on Control Theory, Chinese Association of Automation, All rights reserved.

Publication Date

01 Jul 2018