Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems
- 25 August 2015
- journal article
- Published by Springer Nature in Cognitive Computation
- Vol. 7 (6) , 763-771
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61273136)
- State Key Laboratory of Robotics and System (SKLRS-2015-ZD-04)
This publication has 29 references indexed in Scilit:
- A Novel Iterative $\theta $-Adaptive Dynamic Programming for Discrete-Time Nonlinear SystemsIEEE Transactions on Automation Science and Engineering, 2013
- Quantized Control Design for Coupled Dynamic Networks with Communication ConstraintsCognitive Computation, 2013
- Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery ManagementCognitive Computation, 2012
- Bio-inspired Approach for Smooth Motion Control of Wheeled Mobile RobotsCognitive Computation, 2012
- Fault Self-repairing Flight Control of a Small Helicopter via Fuzzy Feedforward and Quantum Control TechniquesCognitive Computation, 2012
- Exploration and exploitation balance management in fuzzy reinforcement learningFuzzy Sets and Systems, 2010
- Actor-Critic Learning for Platform-Independent Robot NavigationCognitive Computation, 2009
- Multiple Model-Based Control Using Finite Controlled Markov ChainsCognitive Computation, 2009
- Adaptive Critic Designs for Discrete-Time Zero-Sum Games With Application to $H_{\infty}$ ControlIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2007
- Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approachAutomatica, 2005