A stable self-learning PID control for multivariable time varying systems

Control Engineering Practice

Volumn 15, Issue 12, 2007, Pages 1577-1587

  Yu, D L ^a   Chang, T K ^a   Yu, D W ^b  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b NORTHEASTERN UNIVERSITY AT QINHUANGDAO   (China)

Author keywords

Adaptive NN models; CSTR; EKF; Nonlinear systems; Self learning PID

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; LYAPUNOV METHODS; NONLINEAR SYSTEMS; PROPORTIONAL CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS;

CONTINUOUS STIRRED TANK REACTOR; MULTIVARIABLE TIME VARYING SYSTEMS;

MULTIVARIABLE SYSTEMS;

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; LYAPUNOV METHODS; MULTIVARIABLE SYSTEMS; NONLINEAR SYSTEMS; PROPORTIONAL CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS;

EID: 34748861513     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2007.02.004     Document Type: Article

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