Prescribed Performance Model- Free Adaptive Control for Multiagent Systems
Zhipeng Zhou, Dong Liu, Xiaona Yang · 2021 International Conference on Security, Pattern Analysis, and Cybernetics（SPAC) · 2021
This paper studies the data-driven prescribed performance control (PPC) problem about the discrete-time nonlinear multi agent system with fixed communication topologies in tracking error constraints. The new transformation error strategy is constructed by using equivalent dynamic linearization techniques, and a controller with the predetermined performance is designed to make the tracking error converge to a predetermined area. This control scheme can effectively ensure fast convergence of tracking error and achieve a certain convergence rate. In addition, better tracking performance can be achieved by adjusting the appropriate parameters. The effectiveness of the design will be verified by a simulation example.