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...

Full description

Saved in:

Bibliographic Details
Published in:	Mathematical problems in engineering Vol. 2013; no. 2013; pp. 1 - 16
Main Authors:	Dong, Bo, Li, Yuanchun
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2013 John Wiley & Sons, Inc
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!