Decentralized Reinforcement Learning Robust Optimal Tracking Control for Time Varying Constrained Reconfigurable Modular Robot Based on ACI and Q-Function

A novel decentralized reinforcement learning robust optimal tracking control theory for time varying constrained reconfigurable modular robots based on action-critic-identifier (ACI) and state-action value function (Q-function) has been presented to solve the problem of the continuous time nonlinear...

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Vydané v:	Mathematical problems in engineering Ročník 2013; číslo 2013; s. 1 - 16
Hlavní autori:	Dong, Bo, Li, Yuanchun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2013 John Wiley & Sons, Inc
Predmet:	ACI Constraints Control algorithms Control stability Control theory Controllers Decentralized Decentralized control Design Fuzzy logic Kinematics Mathematical analysis Methods Modular Neural networks Nonlinear control Optimal control Optimization Robots Robust control Tracking control Uncertainty Viscoelasticity
ISSN:	1024-123X, 1563-5147
On-line prístup:	Získať plný text
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