Optimal Control for Discrete-Time Nonlinear Systems with Actuator Saturation Based on Generalized Policy Iteration Adaptive Dynamic Programming Algorithm

	Optimal Control for Discrete-Time Nonlinear Systems with Actuator Saturation Based on Generalized Policy Iteration Adaptive Dynamic Programming Algorithm
	Lin Q(林桥); Qinglai Wei; Bo Zhao
	2017
会议日期	2017-6-21
会议地点	Sapporo, Hokkaido, Japan
英文摘要	In this study, a nonquadratic performance function is introduced to overcome the saturation nonlinearity in actuators. Then, a novel generalized policy iteration Adaptive dynamic programming algorithm is developed to deal with the optimal control problem. Two neural networks are introduced to approximate the control law and performance index function and one simulation example is given to illustrate the convergence and feasibility of the developed algorithm.
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/14349]
专题	复杂系统管理与控制国家重点实验室_平行控制
作者单位	Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Lin Q,Qinglai Wei,Bo Zhao. Optimal Control for Discrete-Time Nonlinear Systems with Actuator Saturation Based on Generalized Policy Iteration Adaptive Dynamic Programming Algorithm[C]. 见:. Sapporo, Hokkaido, Japan. 2017-6-21.