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2021, Volume 22, Issue 12

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Frontiers of Information Technology & Electronic Engineering >> 2021, Volume 22, Issue 12 doi: 10.1631/FITEE.2000692

Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints

Affiliation(s): School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China; School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China; School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; less

Received: 2020-12-11 Accepted: 2021-12-23 Available online: 2021-12-23
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Abstract

This paper investigates the issue of event-triggered adaptive state-constrained control for multi-input multi-output uncertain nonlinear systems. To prevent asymmetric time-varying from being violated, a tan-type is established to transform the considered system into an equivalent “non-constrained” system. By employing a smooth switch function in the virtual control signals, the singularity in the traditional dynamic surface control can be avoided. Fuzzy logic systems are used to compensate for the unknown functions. A suitable event-triggering rule is introduced to determine when to transmit the control laws. Through Lyapunov analysis, the closed-loop system is proved to be semi-globally practical stable, and the are never violated. Simulations are provided to evaluate the effectiveness of the proposed approach.

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