A nonlinear control method based on ANFIS and multiple models for a class of SISO nonlinear systems and its application

IEEE Transactions on Neural Networks

Volumn 22, Issue 11, 2011, Pages 1783-1795

  Zhang, Yajun ^a   Chai, Tianyou ^a   Wang, Hong ^a,b  

^a STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Adaptive network based fuzzy inference system; multiple models; nonlinear systems; pulverizing system; unstable zero dynamics

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; BOUNDEDNESS; CLOSED LOOP STABILITY; CONTROL STRATEGIES; CONVERGENCE RATES; DISCRETE-TIME NONLINEAR SYSTEMS; DYNAMIC PERFORMANCE; INPUT AND OUTPUTS; LINEAR CONTROLLERS; MULTIPLE MODELS; NEURAL NETWORK LEARNING; NON LINEAR CONTROL; NON-LINEAR CONTROL METHODS; NON-LINEAR CONTROLLERS; NUMERICAL EXAMPLE; ONE-TO-ONE MAPPINGS; PULVERIZING SYSTEM; ROBUST CONTROLLERS; SINTERING SYSTEM; SWITCHING MECHANISM; UNIVERSAL APPROXIMATION; UNMODELED DYNAMICS; UNSTABLE ZERO-DYNAMICS;

CLOSED LOOP SYSTEMS; CONTROLLERS; DISCRETE TIME CONTROL SYSTEMS; DYNAMICS; FUZZY INFERENCE; FUZZY SYSTEMS; LINEAR CONTROL SYSTEMS; MACHINE TOOLS; NEURAL NETWORKS; NONLINEAR SYSTEMS; SINTERED ALUMINA; SINTERING;

ADAPTIVE CONTROL SYSTEMS;

ALUMINUM OXIDE; COAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; FUZZY LOGIC; INDUSTRY; METALLURGY; NONLINEAR SYSTEM; PROBLEM SOLVING; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; ALUMINUM OXIDE; ARTIFICIAL INTELLIGENCE; COAL; FUZZY LOGIC; INDUSTRY; LINEAR MODELS; METALLURGY; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PROBLEM SOLVING; REPRODUCIBILITY OF RESULTS;

EID: 80455177005     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2166561     Document Type: Article

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