Fast finite‐time adaptive event‐triggered tracking for uncertain nonlinearsystems
Zong‐Yao Sun, Chao Zhou, Zhenguo Liu, Qinghua Meng
Abstract
Summary This article investigates the fast finite‐time adaptive tracking control via event‐triggered mechanism for a class of high‐order uncertain nonlinear systems. An adaptive tracking controller is constructed for the first time by utilizing a new fast finite‐time performance function and a serial of transformations equipped with a barrier function and event‐triggering rules, which guarantees that the tracking error is restricted in a time‐varying prescribed region and converges to an arbitrarily small constant in a faster speed compared with some traditional finite‐time control strategies. A remarkable feature of this article is to avoid Zeno phenomenon without taking a derivative with respect to the absolute value of the event‐triggered error which may not be differentiable at some discrete points. Finally, a simulation example is provided to verify the feasibility and effectiveness of theoretical results.