Abstract: This paper presents a novel adaptive control framework for multi-agent systems (MAS), integrating Adaptive Dynamic Programming (ADP) and Backpropagation (BP) neural networks. By leveraging ...
Abstract: Homogenization is crucial for the integration of thermostatically controlled loads (TCLs) and other distributed flexible resources in power system operations, yet existing approaches are ...
Abstract: The optimal power flow (OPF) problem of active distribution network (ADN) is a stochastic, nonconvex, and nonlinear problem. Although several algorithms have been presented to solve this ...
Abstract: Battery degradation remains a major challenge for battery electric vehicles (BEVs). The integration of supercapacitors as a secondary energy source to extend battery lifespan has gained ...
Abstract: Multi-robot planning and coordination in uncertain environments is a fundamental computational challenge, since the belief space increases exponentially with the number of robots. In this ...
Abstract: In the last decades, dynamic resource programming in partial resource domains has been extensively investigated for single-time-slot optimizations. However, with the emerging real-time media ...
Abstract: To address the curse of dimensionality inherent in applying dynamic programming to air combat maneuver decision-making tasks, this paper proposes an unmanned combat aerial vehicle (UCAV) ...
Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...
Abstract: In this article, the optimal control for a nonlinear affine system under aperiodic Denial-of-service (DoS) attacks is investigated. To solve the Hamilton–Jacobi–Bellman (HJB) equation, an ...
Abstract: Various discrete-time zeroing neural network (DTZNN) models have been developed for solving dynamic constrained quadratic programming. However, two challenges persist within the DTZNN ...
Abstract: This article investigates the $H_{\infty } $ optimal output-feedback control problem of heterogeneous multiagent systems. First, a hierarchical control ...
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...