Affiliation:
1. School of Electronics and Control Engineering Chang'an University Xi'an China
2. Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China
Abstract
AbstractThe fixed time event‐triggered control for high‐order nonlinear uncertain systems with time‐varying full state constraints is investigated in this paper. First, the event‐triggered control (ETC) mechanism is introduced to reduce the data transmission in the communication channel. In consideration of the physical constraints and engineering requirements, time‐varying barrier Lyapunov function (BLF) is deployed to make all the system states confined in the given time‐varying constraints. Then, the radial basis function neural networks (RBF NNs) are used to approximate the unknown nonlinear terms. Further, the fixed time stability strategy is deployed to make the system achieve semiglobal practical fixed time stability (SPFTS) and the convergence time is independent of the initial conditions. Finally, the proposed control scheme is verified by two simulation examples.
Funder
National Natural Science Foundation of China
Key Research and Development Plan of Shanxi Province
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering