详细信息

Multiple Model Adaptive Control for a Class of Linear-Bounded Nonlinear Systems  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Multiple Model Adaptive Control for a Class of Linear-Bounded Nonlinear Systems

作者:Huang, Miao[1];Wang, Xin[2];Wang, Zhenlei[1]

机构:[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Ctr Elect & Elect Technol, Shanghai 200240, Peoples R China

年份:2015

卷号:60

期号:1

起止页码:271

外文期刊名:IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录:;EI(收录号:20153001048705);WOS:【SCI-EXPANDED(收录号:WOS:000347002700030)】;

基金:This work was supported by Major State Basic Research Development Program of China under grant 2012CB720500, the National Natural Science Foundation of China under grants 61333010 and 61203157, Fundamental Research Funds for the Central Universities, Shanghai Key Technologies R&D Program 12dz1125100, National Key Scientific and Technical Project of China 2012BAF05B00, Shanghai Leading Academic Discipline Project (B504) and the State Key Laboratory of Synthetical Automation for Process Industries. Recommended by Associate Editor M. de Queiroz.

语种:英文

外文关键词:Adaptive controller; linear-bounded; multiple models; nonlinear system

摘要:This study proposes a novel multiple model adaptive control (MMAC) algorithm for a class of nonlinear discrete time systems. The controller consists of a linear indirect adaptive controller, a nonlinear indirect adaptive controller based on neural networks, and a switching mechanism. The control input is generated by the switching mechanism, which selects the candidate controller from the two controllers. The assumption of the nonlinear term is relaxed to linear-bounded when a modified adaptive law is introduced. The restraint that the nonlinear term of the plant should be linear with respect to the control input is removed by resorting to the pole-placement control scheme. The proposed control method can address the properties of non-minimum phase and open-loop instability in the linear part of the plant. The proposed MMAC algorithm can guarantee the bounded-input-bounded-output stability of the proposed closed-loop switching system. A simulation example is presented to demonstrate the effectiveness of the proposed method.

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