Affiliation:
1. School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
2. School of Mechanical and Electrical Engineering, Guangzhou City Polytechnic, Guangzhou 510405, China
Abstract
A guaranteed performance event-triggered adaptive consensus control is established for uncertain multiagent systems under time-varying actuator faults. To eliminate the impact caused by actuator faults, an adaptive neural network compensation strategy is developed. Simultaneously, by implementing the asymmetric barrier Lyapunov function and transform function, a prescribed time consensus control with guaranteed performance, is constructed. Furthermore, to reduce the frequency of information transmission, an adjustable switching event-triggered control (ASETC) is proposed by using a modified hyperbolic tangent function. It combines the advantage of the relative threshold strategies and the characteristics of the hyperbolic tangent function, giving better flexibility in saving network resources and guaranteeing system performance. By applying the constructed control method, systems with prescribed performance consensus in a prescribed time are achievable while limited network resources and unknown time-varying faults are present. Some simulation examples implemented in MATLAB (R2022a) are given to demonstrate the above results.
Funder
National Natural Science Foundation of China
Science and Technology Research Program of Guangzhou
Special projects in key fields of colleges and universities in Guangdong Province
Characteristic innovation projects of colleges and universities in Guangdong Province
Special Funds for the Cultivation of Guangdong College Student’s Scientific and the Technological Innovation
Cited by
1 articles.
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