Adaptive State Observer for Nonlinear MIMO Systems with Uncertain Dynamics

作     者：Jiping Xu~1,Jing Na~2,Zaiwen Liu~1 and Hongbing Xiao~1 1 School of Computer and Information Engineering,Beijing Technology and Business University,Beijing,100048,P.R.China 2 School of Automation,Beijing Institute of Technology,Beijing,100081,P.R.China 

会议名称：《2010 Chinese Control and Decision Conference》

会议日期：2010年

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：supported by Beijing Municipal Natural Science Foundation under grant No.4062011 

关 键 词：Adaptive observer Nonlinear system Neural network 

摘      要：正This paper proposes an adaptive observer design for a class of nonlinear MIMO systems with unknown nonlinearities. Neural networks（NN） with online updating weights are utilized to estimate unknown dynamics,such that the precise system model,the Lipschitz or norm-bounded assumptions on the unknown nonlinearities are not *** developing a novel gain design methods,some constraints used in the neural-based observer and sliding-mode observer designs,i.e.,Strictly Positive Real （SPR） or matching conditions,are *** of the presented method is verified by simulations.