This paper reviews the current state of the art on reinforcement learning (RL)-based
feedback control solutions to optimal regulation and tracking of single and multiagent …

In this paper, a distributed control scheme for an interconnected system composed of
uncertain input affine nonlinear subsystems with event triggered state feedback is presented …

In this paper, a new distributed optimal control strategy for continuous-time nonaffine
nonlinear systems with unknown dynamics is presented. We exploit a paradigm based on …

In this paper, approximate optimal distributed control schemes for a class of nonlinear
interconnected systems with strong interconnections are presented using continuous and …

This paper presents an approximate optimal distributed control scheme for a known
interconnected system composed of input affine nonlinear subsystems using event-triggered …

In this paper, a novel finite-time distributed identification method is introduced for nonlinear
interconnected systems. A distributed concurrent learning-based discontinuous gradient …

In this paper, an adaptive tracking control scheme is designed for a class of continuous-time
uncertain nonlinear systems based on the approximate solution of the Hamilton–Jacobi …

This paper presents a near optimal adaptive event-based sampling scheme for tracking
control of an affine nonlinear continuous-time system. A zero-sum game approach is …

In this paper, we propose a novel differential-game based neural network (NN) control
architecture to solve an optimal control problem for a class of large-scale nonlinear systems …

This paper presents a co-optimization scheme for an event-triggered control system to
simultaneously optimize both the sampling instants and the control policy. A continuous time …