This article investigates the neural-network-based adaptive predefined-time tracking control
problem for switched nonlinear systems. Neural networks are employed to approximate the …

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 study considers an adaptive neural-network (NN) periodic event-triggered control
(PETC) problem for switched nonlinear systems (SNSs). In the system, only the system …

In this paper, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …

This paper is concerned with the observer-based event-triggered control for a continuous
networked linear system subject to denial-of-service (DoS) attacks, where the attacks are …

In this paper, a cooperative time-varying formation maneuvering problem with connectivity
preservation and collision avoidance is investigated for a fleet of autonomous surface …

This paper addresses the finite-time tracking issue for nonlinear quantized systems with
unmeasurable states. Compared with the existing researches, the finite-time quantized …

This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback
nonlinear systems with the actuator faults. The functional relationship in the affine form …

As a type of indispensable oceanic transportation tools, ship-mounted crane systems are
widely employed to transport cargoes and containers on vessels due to their extraordinary …

This paper addresses the finite-time tracking problem of nonlinear pure-feedback systems.
Unlike the literature on traditional finite-time stabilization, in this paper the nonlinear system …