For strict-feedback nonlinear systems under full-state constraints, current barrier Lyapunov
function (BLF) and integral BLF based control solutions rely on feasibility conditions for …

This paper focuses on the adaptive fuzzy self-triggered tracking controller design for full-
state constrained multiple-input and multiple-output nonlinear systems. The implementation …

In this paper, an adaptive controller design is studied for single-input–single-output (SISO)
nonlinear systems with parameter uncertainties and the systems are enforced to subject to …

The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …

This paper concentrates on the performance recovery-based fuzzy robust control of
networked nonlinear systems via a deferred actuator-switching approach. The main design …

This paper addresses the problem of adaptive tracking control for a class of strict-feedback
nonlinear state constrained systems with input delay. To alleviate the major challenges …

In this paper, we investigate the adaptive fast finite-time tracking control problem for a class
of uncertain nonlinear strict-feedback systems by using backstep** technique and fast …

In this paper, for a class of uncertain nonlinear systems, a low-computation design scheme
for fault detection and performance recovery based on deferred replacement actuators is …

Cyber-physical systems (CPSs) are naturally highly interconnected and complexly
nonlinear. This paper investigates the problem of decentralized adaptive output feedback …

This article put forward an adaptive neural fault-tolerant control strategy for a class of
switched nonlinear systems subject to actuator fault by means of the command filter …