Adaptive Neural Network Matrix Projection Synchronization of Unknown Complex Dynamical Networks with Different Dimensions
作者单位：Department of Applied MathematicsXidian University
会议名称：《第37届中国控制会议》
会议日期：2018年
学科分类：0711[理学-系统科学] 07[理学] 08[工学] 070104[理学-应用数学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 071101[理学-系统理论] 0811[工学-控制科学与工程] 0701[理学-数学]
基 金：supported by National Nature Science Foundation under Grant number 61603286 and grant number 61573013 the Fundamental Research Funds for the Central Universities under grant number JB160702
关 键 词：Complex dynamical network RBF neural network-based adaptive control Lyapunov stability theory Generalized matrix projection synchronization(GMPS)
摘 要：Adaptive generalized function matrix projection synchronization（GFMPS） is investigated for the drivenresponse unknown complex dynamical networks with different dimension of *** neural networks are utilized to represent the unknown nonlinear functions.A novel adaptive synchronization method is designed for the *** adaptive generalized function matrix projection outer synchronization can be achieved in both driver and response networks,the synchronization condition is also given via Lyapunov stability theory.A numerical example is presented to demonstrate the validity of the theoretical results.