Bing Chen

TL;DR: This paper focuses on adaptive fuzzy tracking control for a class of uncertain single-input /single-output nonlinear strict-feedback systems and a novel direct adaptive fuzzy Tracking controller is constructed via backstepping.

TL;DR: The proposed adaptive fuzzy tracking controller guarantees that all signals in the closed-loop system are bounded in probability and the system output eventually converges to a small neighborhood of the desired reference signal in the sense of mean quartic value.

TL;DR: A new finite-time stability criterion is proposed and a novel adaptive neural output-feedback control strategy is raised by backstepping technique, and under the presented control scheme, the finite- time quantized feedback control problem is coped with without limiting assumption for nonlinear functions.

TL;DR: A variable separation approach is developed to overcome the difficulty from the nonstrict-feedback structure and a state feedback adaptive fuzzy tracking controller is proposed, which guarantees that all of the signals in the closed-loop system are bounded, while the tracking error converges to a small neighborhood of the origin.

TL;DR: A novel adaptive fuzzy control scheme is proposed by a backstepping technique that can guarantee that the tracking error converges to a small neighborhood of the origin in a finite time, and the other closed-loop signals remain bounded.