物理学报Issue(15)：1-8,8.DOI:10.7498/aps.62.150506
不确定混沌系统的多项式函数模型补偿控制*
Compensation control on chaotic systems with uncertainties based on polynomial basis functions model*
摘要
Abstract
For the control of uncertainty chaos systems, a compensation control method using the polynomial-basis-functions model (PBFM) based on conjugate gradient algorithm (CGA) is studied. In the proposed method, dynamic properties of a chaotic system are first fitted by PBFM, and then feedforward compensation control for the uncertainty chaos system is implemented by using good fitting PBFM. The proposed approach can quickly track any given reference signal without the need of a mathematic model of chaos system. The numerical simulation results show that the proposed control method has not only the fast response speed and high control accuracy, but also a strong inhibitory ability to parameter perturbation and the anti-interference ability for the chaos system.关键词
混沌控制/多项式函数模型/共轭梯度法Key words
chaotic control/polynomial-basis-functions model (PBFM)/conjugate gradient algorithm (CGA)引用本文复制引用
曾喆昭,雷妮,盛立锃..不确定混沌系统的多项式函数模型补偿控制*[J].物理学报,2013,(15):1-8,8.基金项目
国家自然科学基金(批准号:61040049)、湖南省自然科学基金(批准号:11JJ6064)和智能电网运行与控制湖南省重点实验室(长沙理工大学)资助的课题.* Project supported by the National Natural Science Foundation of China (Grant No.61040049), the Natural Science Foundation of Hunan Province, China (Grant No.11JJ6064), and the Hunan Province Key Laboratory of Smart Grids Operation and Control (Changsha University of Science and Technology) （批准号:61040049）
