In this paper, an adaptive tracking control approach is developed for full-state constrained
switched nonlinear systems that have actuator saturation, periodic disturbances and …

This article presents a control scheme for the robot manipulator's trajectory tracking task
considering output error constraints and control input saturation. We provide an alternative …

In this article, a novel reinforcement learning-based optimal tracking control (RLOTC)
scheme is established for an unmanned surface vehicle (USV) in the presence of complex …

In this work, an adaptive neural network (NN) optimized output-feedback control problem is
studied for a class of stochastic nonlinear systems with unknown nonlinear dynamics, input …

In this article, the problem of finite-time adaptive fuzzy tracking control for multi-input and
multi-output (MIMO) nonlinear systems with input saturation is investigated. The new finite …

In this paper, the problem of resilient distributed secure consensus control for uncertain
networked agent systems under hybrid denial-of-service (DoS) attacks is investigated. The …

In this paper, a low-computation adaptive self-triggered tracking control scheme is proposed
for a class of strict-feedback nonlinear systems with input saturation. By introducing two …

This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-
feedback systems with input saturation and output constraint. A variable separation …

In this paper, an adaptive neural network (NN) control problem is investigated for discrete-
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …

In this paper, a hybrid fuzzy adaptive output feedback control design approach is proposed
for a class of multiinput and multioutput strict-feedback nonlinear systems with unknown time …