Decentralized Adaptive Optimal Control of Large-Scale Systems With Application to Power Systems

被引：119

作者：

Bian, Tao ^{[1
]}

Jiang, Yu ^{[1
]}

Jiang, Zhong-Ping ^{[1
]}

机构：

[1] NYU, Dept Elect & Comp Engn, Control & Networks Lab, Brooklyn, NY 11201 USA

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2015年 / 62卷 / 04期

基金：

美国国家科学基金会;

关键词：

Adaptive dynamic programming (ADP); adaptive optimal control; power systems; NONLINEAR-SYSTEMS; STATE STABILITY; STABILIZATION; GENERATORS; INPUT;

D O I：

10.1109/TIE.2014.2345343

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies the optimal control problem for large-scale systems with unknown parameters and dynamics. By using robust adaptive dynamic programming (RADP) method, a decentralized optimal control design is given for large-scale systems with unmatched uncertainties. The convergence of the proposed RADP algorithm and the asymptotic stability of the closed-loop large-scale system are studied rigorously. Finally, a numerical example of a large-scale power system is adopted to illustrate the effectiveness of the obtained algorithm.

引用

页码：2439 / 2447

页数：9

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