This paper reviews recent progress in model identification-based learning and optimal
control and its applications to multi-agent systems (MASs). First, a class of learning-based …

In this paper, we present an overview of adaptive control by contrasting model‐based
approaches with data‐driven approaches. Indeed, we propose to classify adaptive …

This paper studies the problem of sliding-mode surface (SMS)-based adaptive optimal
control for a class of continuous-time switched nonlinear systems with average dwell time …

This paper considers an optimal control of an affine nonlinear system with unknown system
dynamics. A new identifier–critic framework is proposed to solve the optimal control problem …

For parameter identifications of robot systems, most existing works have focused on the
estimation veracity, but few works of literature are concerned with the convergence speed. In …

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 …

Due to strongly coupled nonlinearities of the grasped dual-arm robot and the internal forces
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

This article investigates the problem of adaptive fuzzy optimal distributed consensus control
for stochastic multiagent systems (MASs) with full-state constraints and nonaffine nonlinear …

This article considers neural network (NN)-based adaptive finite-time resilient control
problem for a class of nonlinear time-delay systems with unknown fault data injection attacks …