Event‐triggered adaptive finite‐time prescribed performance tracking control for uncertain nonlinear systems
Cungen Liu, Xiaoping Liu, Huanqing Wang, Chuang Gao, Yucheng Zhou, Shouyin Lu
Abstract
Summary This article addresses the problem of adaptive finite‐time tracking control for unknown nonlinear systems based on event‐triggered and prescribed performance control. For the first time, a new adjustable finite‐time performance function is developed, whose parameters are adjusted online with the change of tracking errors so that it converges faster. Besides, a novel event‐triggered control method is introduced to switch smoothly between the fixed and relative threshold strategies. Finally, an adaptive finite‐time tracking controller is constructed, which ensures the boundness of all the signals in the closed‐loop system and elimination of the Zeno behavior. Simultaneously, the output tracking error falls in a fixed region at pre‐defined finite time.