自动化学报Issue(9)：2058-2066,9.DOI:10.3724/SP.J.1004.2014.02057
非线性多变量零阶接近有界系统的多模型自适应控制
Multiple Model Adaptive Control for a Class of Nonlinear Multi-variable Systems with Zero-order Proximity Boundedness
摘要
Abstract
A novel multiple model adaptive control method us-ing neural networks is proposed for a class of MIMO nonlinear discrete-time systems. In order to relax the restriction of the higher order nonlinear term of the nonlinear system to zero-order proximity boundedness, this method introduces a new nonlinear model. The model adds a nonlinear compensation term to the conventional linear autoregressive model such that the estimation error is bounded. A neural network model is used to identify the system with nonlinear model simultane-ously. A performance-based switching mechanism determines the controller which has the better performance to control the system. Theoretic analysis proves the bounded-input-bounded-output stability of the zero-order proximity boundedness multi-ple model adaptive control system. Simulation results are pre-sented to show the effectiveness of the proposed method.关键词
零阶接近有界/多变量/非线性系统/多模型自适应控制Key words
Zero order proximity boundedness/multi-variable/nonlinear system/multiple model adaptive control引用本文复制引用
黄淼,王昕,王振雷..非线性多变量零阶接近有界系统的多模型自适应控制[J].自动化学报,2014,(9):2058-2066,9.基金项目
国家重点基础研究发展计划(973计划)(2012CB720500),国家自然科学基金(61333010,61203157),中央高校基本科研业务费专项资金(上海市科技攻关项目)(12dz1125100),十二五国家科技支撑计划(2012BAF05B00),上海市重点学科建设项目(B504),流程工业综合自动化国家重点实验室开发课题资金资助Supported by National Basic Research Program of China (973 Program)(2012CB720500), National Natural Science Foundation of China (61333010,61203157), Fundamental Research Funds for the Central Universities (Scientific and Technological Project of Shang-hai)(12dz1125100), National Five-year Science and Technology Plan& Technology Support (2012BAF05B00), Leading Academic Disci-pline Project of Shanghai (B504), and the State Key Laboratory of Synthetical Automation for Process Industries （973计划）
