Adaptive dynamic programming with ??-error bound for nonlinear discrete-time systems

作者：Lin Xiao Feng^*; Zhang Heng; Song Shao Jian; Song Chun Ning

来源：Control and Decision, 2011, 26(10): 1586-1590+1595.

• Adaptive dynamic programming
• Arbitrary state
• Computational costs
• Control sequences
• Discrete time system
• Error bound
• Near-optimal control
• Nonlinear discrete-time systems
• Numerical experiments
• Optimal control strategy
• Optimal controls
• Optimal performance
• Performance indices
• Performance of algorithm

In order to obtain the optimal control strategy of nonlinear discrete-time systems,based on the principle of adaptive dynamic programming,an adaptive dynamic programming method with error bound is proposed.For any arbitrary state,a length-limited control sequence is used to approximate the optimal control sequence,which makes the error between the performance index and optimal performance index in a smaller range.A nonlinear discrete-time system is chosen for the numerical experiments about the performance of algorithm,and the results show the effectiveness of the algorithm,and a near optimal control strategy is obtained with less computational cost.

• 出版日期2011-10
• 单位广西大学