In this article, we consider linear quadratic (LQ) control problem with process and
measurement noises. We analyze the LQ problem in terms of the average cost and the …

In this article, the optimal leader-following consensus control problem of multi-agent systems
is solved using a novel neural network-based (NN-based) integrated heuristic dynamic …

This brief investigates the multi-agent differential graphical game for high-order systems. A
modified cost function for each agent is presented, and a fully distributed control protocol …

In this article, an output‐feedback Q‐learning algorithm is proposed for the discrete‐time
linear system to deal with the H∞ H _ ∞ tracking control problem. The problem is formulated …

This study presents a new framework for merging the Adaptive Fuzzy Sliding-Mode Control
(AFSMC) with an off-policy Reinforcement Learning (RL) algorithm to control nonlinear …

In this paper, we analyze a Linear Quadratic (LQ) control problem in terms of the average
cost and the structure of the value function. We develop a completely model-free …

This article proposes a numerically efficient approach for computing the maximal (or
minimal) impact one agent has on the cooperative system it belongs to. For example, if one …

This paper studies the differential graphical games for linear multi‐agent systems with
modelling uncertainties. A robust optimal control policy that seeks the distributed Nash …

This article addresses the distributed Nash equilibrium (NE) seeking problem for multiagent
networked games with partial decision information. We employ a quadratically approximated …

In this paper, a model-free optimal reinforcement learning (RL)-based approach is
presented for solving optimal synchronization problem for leader–follower multi-agent …