This article considers the robust optimal control problem for a class of nonlinear systems in
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …

In this article, a robot skills learning framework is developed, which considers both motion
modeling and execution. In order to enable the robot to learn skills from demonstrations, a …

In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm
within the Hamiltonian-driven framework to solve the Hamilton–Jacobi–Bellman (HJB) …

The large-scale integration of intermittent renewable energy resources introduces increased
uncertainty and volatility to the supply side of power systems, thereby complicating system …

In this study, the sampled-data consensus problem is investigated for a class of
heterogeneous multiagent systems (MASs) in which each agent is described by a second …

For discounted optimal regulation design, the stability of the controlled system is affected by
the discount factor. If an inappropriate discount factor is employed, the optimal control policy …

This article considers the distributed adaptive neuro-fuzzy output feedback control protocol
design to solve the output synchronization problem for heterogeneous multiagent systems …

In actual welding scenarios, an effective path planner is needed to find a collision-free path
in the configuration space for the welding manipulator with obstacles around. However, as a …

This article proposes a distributed optimal attitude synchronization control strategy for
multiple quadrotor unmanned aerial vehicles (QUAVs) through the adaptive dynamic …

An event-based intelligent cooperative control policy is developed in this article for a class of
second-order multiagent systems (MASs). The followers are subject to external disturbances …