Reinforcement learning (RL) has roots in dynamic programming and it is called
adaptive/approximate dynamic programming (ADP) within the control community. This paper …

This article proposes an adaptive neural network (NN) output feedback optimized control
design for a class of strict-feedback nonlinear systems that contain unknown internal …

This paper focuses on the predefined-time adaptive neural tracking control problem for
nonlinear multiagent systems (MASs). In contrast to the existing results of the predefined …

In this article, finite-time-prescribed performance-based adaptive fuzzy control is considered
for a class of strict-feedback systems in the presence of actuator faults and dynamic …

The problem of fuzzy-based adaptive event-triggered tracking control is investigated for a
class of non-strict-feedback nonlinear systems within fixed-time interval in this paper. Fuzzy …

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 …

This article addresses the finite-time optimal control problem for a class of nonlinear systems
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …

This article studies the fault tolerant tracking problem of time-varying formation for
nonholonomic multirobot systems. Uncertain nonlinear dynamics are approximated by …

This article first investigates the adaptive fuzzy inverse optimal control design problem for a
class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to …

This paper investigates adaptive fuzzy output feedback fault-tolerant optimal control problem
for a class of single-input and single-output nonlinear systems in strict feedback form. The …