Jing Zhang

TL;DR: An adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems.

TL;DR: To deal with a class of nonlinear systems with unknown control directions, a command filter-based adaptive tracking controller is designed and guarantees that error signals converge into bounded compact sets around the origin and all closed-loop signals are bounded.

TL;DR: An adaptive finite-time controller is constructed for stochastic nonlinear systems with parametric uncertainties by constructing a tan-type Barrier Lyapunov Function that deals with the finite- time tracking control problem and all the state in the Stochastic systems are not violated.

TL;DR: A command filter-based adaptive fuzzy controller is constructed for a class of nonlinear systems with uncertain disturbance by using the error compensation signals and fuzzy logic system to make that the tracking error converge to any small neighborhood of zero and all closed-loop signals are bounded.

TL;DR: In this paper, the authors investigated the problem of finite-time extended dissipative analysis for a class of switched delay systems and proposed sufficient conditions to guarantee that the switched delay system is finite time bounded and has finitetime EDE performance.