Adaptive NN fault-tolerant control for discrete-time systems in triangular forms with actuator fault

Neurocomputing

Volumn 152, Issue , 2015, Pages 209-221

  Liu, Lei ^a,b   Wang, Zhanshan ^a,b   Zhang, Huaguang ^a,b  

^a NORTHEASTERN UNIVERSITY   (China)

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

Author keywords

Actuator fault; Adaptive fault tolerant control; Discrete time systems with triangular forms; Radial basis function neural network

Indexed keywords

ACTUATORS; ADAPTIVE CONTROL SYSTEMS; BACKSTEPPING; CLOSED LOOP CONTROL SYSTEMS; CLOSED LOOP SYSTEMS; DIGITAL CONTROL SYSTEMS; FAULT TOLERANCE; FEEDBACK CONTROL; FUNCTIONS; RADIAL BASIS FUNCTION NETWORKS;

ACTUATOR FAULT; ADAPTIVE FAULT-TOLERANT CONTROL; BACKSTEPPING TECHNIQUE; DISCRETE - TIME SYSTEMS; FAULT TOLERANT CONTROL; NONLINEAR FUNCTIONS; RADIAL BASIS FUNCTION NEURAL NETWORKS; UNIFORMLY ULTIMATELY BOUNDED;

DISCRETE TIME CONTROL SYSTEMS;

ADAPTIVE FAULT TOLERANT CONTROL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CONTROL SYSTEM; CONTROLLED STUDY; DISCRETE TIME SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; NONLINEAR SYSTEM; PROBLEM IDENTIFICATION; PROBLEM SOLVING; QUALITY CONTROL; RADIAL BASIS FUNCTION NEURAL NETWORK; SIGNAL DETECTION; SIMULATION; SYSTEM ANALYSIS; TIME SERIES ANALYSIS; TRIANGULATION; UNCERTAINTY; VALIDATION PROCESS;

EID: 84921029436     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.10.076     Document Type: Article

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