.png){kind=icon}
返回
Adaptive Dynamic Programming for Nonlinear-Constrained H8 Control
.png){kind=icon}
PRE
AI
DOI：10.1109/TSMC.2023.3247888.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This article considers the H-infinity control problem of nonlinear systems having unavailable dynamics and asymmetric saturating actuators. Initially, such an H-infinity control problem is converted into the zero-sum game with a nonquadratic cost function being introduced. Then, in order to solve the Hamilton-Jacobi-Isaacs equation arising in the zero-sum game, a simultaneous policy iteration (SPI) algorithm is developed under the adaptive dynamic programming framework. Meanwhile, it is proved that the convergence of the SPI algorithm in essence amounts to the convergence of the sequential PI algorithm. To implement the SPI algorithm, the critic, the actor, and the perturbation neural networks (NNs) are, respectively, constructed to estimate the cost function, the control policy, and the perturbation. The three NNs' weights are simultaneously determined by using the least-squares method together with the Monte Carlo integration technique. A remarkable characteristic of such an SPI algorithm is that arbitrary control policies and perturbations are applicable in the learning process. This makes system's information be able to be replaced by the data collected along system's trajectories in advance. More importantly, the persistence of the excitation condition is not required. Finally, simulations of two nonlinear examples are given to validate the present SPI algorithm.
Keyword:
Perturbation methods
Games
Game theory
Nonlinear systems
Heuristic algorithms
Artificial neural networks
Dynamic programming
Adaptive
approximate dynamic programming (ADP)
asymmetric constraint
neural network (NN) control
simultaneous policy iteration (SPI)
期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
机构
引用论文
.png){kind=icon}
Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation
PREAI
分享收藏Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems多控制器非线性系统的连续时间分布式策略迭代
PREAI
分享收藏Ac-Electrogravimetry Study of Electroactive Thin Films. II. Application to Polypyrrole电活性薄膜的交流电重分析研究。二。聚吡咯的应用
PREAI
分享收藏Event-Triggered Decentralized Tracking Control of Modular Reconfigurable Robots Through Adaptive Dynamic Programming基于自适应动态规划的模块化可重构机器人事件触发分散跟踪控制
OAAI
OAAI分享收藏Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems一类非线性系统的自适应神经网络有限时间最优控制
PREAI
分享收藏
查看更多内容