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Adaptive dynamic programming for control: A survey and recent advances
This article reviews the recent development of adaptive dynamic programming (ADP) with
applications in control. First, its applications in optimal regulation are introduced, and some …
applications in control. First, its applications in optimal regulation are introduced, and some …
Reinforcement learning in robotic applications: a comprehensive survey
In recent trends, artificial intelligence (AI) is used for the creation of complex automated
control systems. Still, researchers are trying to make a completely autonomous system that …
control systems. Still, researchers are trying to make a completely autonomous system that …
Hierarchical sliding-mode surface-based adaptive critic tracking control for nonlinear multiplayer zero-sum games via generalized fuzzy hyperbolic models
This article investigates the hierarchical sliding-mode surface (HSMS)-based adaptive critic
tracking control problem for nonlinear multiplayer zero-sum games (ZSGs). First, a …
tracking control problem for nonlinear multiplayer zero-sum games (ZSGs). First, a …
Fuzzy approximation-based optimal consensus control for nonlinear multiagent systems via adaptive dynamic programming
This paper investigates the fuzzy approximation-based optimal consensus control problem
for nonlinear multiagent systems with unknown perturbations. By constructing local error …
for nonlinear multiagent systems with unknown perturbations. By constructing local error …
Event-triggered critic learning impedance control of lower limb exoskeleton robots in interactive environments
In this paper, we present an event-triggered critic learning impedance control algorithm for a
lower limb rehabilitation exoskeleton robot in an interactive environment, where the control …
lower limb rehabilitation exoskeleton robot in an interactive environment, where the control …
Deep reinforcement learning for EV charging navigation by coordinating smart grid and intelligent transportation system
A coordinated operation of smart grid (SG) and intelligent transportation system (ITS)
provides electric vehicle (EV) owners with a myriad of power and transportation network …
provides electric vehicle (EV) owners with a myriad of power and transportation network …
Adaptive optimal tracking control of an underactuated surface vessel using actor–critic reinforcement learning
In this article, we present an adaptive reinforcement learning optimal tracking control
(RLOTC) algorithm for an underactuated surface vessel subject to modeling uncertainties …
(RLOTC) algorithm for an underactuated surface vessel subject to modeling uncertainties …
Enhanced coordinated operations of electric power and transportation networks via EV charging services
Electric power and transportation networks become increasingly coupled through electric
vehicles (EV) charging station (EVCS) as the penetration of EVs continues to grow. In this …
vehicles (EV) charging station (EVCS) as the penetration of EVs continues to grow. In this …
Approximate optimal adaptive prescribed performance control for uncertain nonlinear systems with feature information
This article investigated the performance optimization tracking control problem of strict-
feedback nonlinear systems with feature information. A performance-optimized adaptive …
feedback nonlinear systems with feature information. A performance-optimized adaptive …
DRL-based energy-efficient resource allocation frameworks for uplink NOMA systems
Nonorthogonal multiple access (NOMA) is one of the promising technologies to meet the
huge access demand and high data-rate requirements of the next-generation networks. In …
huge access demand and high data-rate requirements of the next-generation networks. In …