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Journal of Zhejiang University SCIENCE C 1998 Vol.-1 No.-1 P.

http://doi.org/10.1631/FITEE.2000692


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


Author(s):  Yan WEI, Jun LUO, Huaicheng YAN, Yueying WANG

Affiliation(s):  School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China; more

Corresponding email(s):   wyy676@126.com

Key Words:  Event-triggered control, Nonlinear mapping, Adaptive fuzzy control, Finite-time, State constraints


Yan WEI, Jun LUO, Huaicheng YAN, Yueying WANG. Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .

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

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