Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming

Lu Dong; Jun Yan; Xin Yuan; Haibo He; Changyin Sun

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Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming

机译：基于自适应动态规划的功能非线性模型预测控制

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摘要

This paper presents a functional model predictive control (MPC) approach based on an adaptive dynamic programming (ADP) algorithm with the abilities of handling control constraints and disturbances for the optimal control of nonlinear discrete-time system

机译：本文提出了一种基于自适应动态规划（ADP）算法的功能模型预测控制（MPC）方法，该方法具有处理控制约束和扰动的能力，可用于非线性离散时间系统的最优控制。

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来源
《Cybernetics, IEEE Transactions on》 |2019年第12期|4206-4218|共13页
作者
Lu Dong; Jun Yan; Xin Yuan; Haibo He; Changyin Sun;
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作者单位

School of Automation Southeast University Nanjing China;

Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI USA;

Department of Electrical C;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Optimal control; Dynamic programming; Artificial neural networks; System dynamics; Mathematical model; Predictive control; Heuristic algorithms;

机译：最佳控制;动态编程;人工神经网络;系统动力学;数学模型;预测控制;启发式算法;

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Functional Nonlinear Model Predictive Control Based on Adaptive Dynamic Programming

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