Model predictive control of nonlinear distributed parameter systems using spatial neural-network architectures

Industrial and Engineering Chemistry Research

Volumn 47, Issue 19, 2008, Pages 7264-7273

  Wu, Wei ^a   Ding, San Yin ^a  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOREACTORS; CLOSED LOOP CONTROL SYSTEMS; CONTROL SYSTEMS; CONTROL THEORY; DIFFERENTIAL EQUATIONS; INTELLIGENT CONTROL; INTERNET; LEARNING ALGORITHMS; LEARNING SYSTEMS; LYAPUNOV FUNCTIONS; MODEL PREDICTIVE CONTROL; NETWORK ARCHITECTURE; NETWORK PROTOCOLS; OPTIMAL CONTROL SYSTEMS; ORDINARY DIFFERENTIAL EQUATIONS; PREDICTIVE CONTROL SYSTEMS; SENSOR NETWORKS; SYSTEM STABILITY; SYSTEMS ENGINEERING; VIBRATION CONTROL;

BIOREACTOR SYSTEMS; CLOSED-LOOP CONTROLS; DISCRETE; DISTRIBUTED PARAMETER SYSTEMS; EXPLICIT FORMULATIONS; FEEDFORWARD; FIRST-ORDER; NEURO MODELS; NONISOTHERMAL TUBULAR REACTORS; NONLINEAR; ONLINE LEARNING ALGORITHMS; OUTPUT ERRORS; PARAMETER UNCERTAINTIES; POPULATION BALANCE EQUATIONS; PREDICTIVE CONTROLS; SPACE DISCRETIZATION; STABILITY ANALYSES; UNKNOWN DISTURBANCES;

DISTRIBUTED PARAMETER CONTROL SYSTEMS;

EID: 54249119699     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie800474m     Document Type: Article

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