Abstract: An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts by constructing a nonlinear disturbance ...

Abstract: Platooning connected and autonomous vehicles (CAVs) provide significant benefits in terms of traffic efficiency and fuel economy. However, most existing platooning systems assume the ...

Abstract: This paper explores a novel class of event-triggered mechanisms for nonlinear systems utilizing output-feedback control. Initially, an output-feedback state observer is designed to estimate ...

Abstract: In this study, the adaptive dynamic programming (ADP)-based fixed-time optimal trajectory tracking control is investigated for wheeled mobile robots. An ADP-based fixed-time optimal tracking ...

Abstract: This article develops a novel online adaptive dynamic programming algorithm with adjustable convergence rate to address the optimal control problem of nonlinear systems. Relaxation factors ...

Abstract: Safe operation of systems such as robots requires them to plan and execute trajectories subject to safety constraints. When those systems are subject to uncertainties in their dynamics, it ...

Abstract: In this article, we study the optimal control problem of continuous-time (CT) time-invariant nonlinear systems with stochastic nonlinear disturbances. A new stochastic adaptive dynamic ...

Abstract: This article proposes two decentralized multiagent optimal control methods that combine the computational efficiency and scalability of differential dynamic programming (DDP) and the ...

Abstract: The policy gradient adaptive dynamic programming (PGADP) technique has gained recognition as an effective approach for optimizing the performance of nonlinear systems. Nonetheless, existing ...

Abstract: Robust economic dispatch (ED) is of paramount importance for obtaining robust unit commitment when considering the uncertainty in the system, which is a typical multistage robust ...

Abstract: This paper investigates the optimal control of continuous-time multi-controller systems with completely unknown dynamics using data-driven adaptive dynamic programming (DD-ADP). In this ...

Abstract: The paper investigates the optimization of production decisions in the manufacturing process of electronic products. Initially, the production process is analyzed, and the House of Quality ...