Event-Trigger-Based Finite-Time Fuzzy Adaptive Control for Stochastic Nonlinear System With Unmodeled Dynamics

作者：Sui, Shuai; Chen, C. L. Philip^*; Tong, Shaocheng

来源：IEEE Transactions on Fuzzy Systems, 2021, 29(7): 1914-1926.

DOI：10.1109/TFUZZ.2020.2988849

• Event-triggered control
• finite-time control
• nonstrict feedback
• stochastic nonlinear system
• unmodeled dynamic

This article investigates the problem of finite-time fuzzy adaptive event-triggered control design for stochastic non-linear nonstrict feedback systems with unmodeled dynamics. The fuzzy logic systems are adopted to identify the unknown nonlinearities and a state observer is designed to estimate the unmeasured states. Using backstepping recursive design and combining it with a varying threshold event-triggered condition, a novel event-triggered-based fuzzy adaptive finite-time control algorithm is developed, where the dynamical signal function is employed to deal with the unmodeled dynamics. A power form of the errors is used to ensure a continuous stabilizer. The semi-global finite-time stability in probability of the closed-loop system is proved based on an Ito differential equation and finite-time stability theory. Simulations are provided to verify the effectiveness of the developed control algorithm.

• 单位
  西北工业大学