Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network

IEEE Transactions on Neural Networks and Learning Systems

Volumn 27, Issue 2, 2016, Pages 402-415

  Han, Hong Gui ^a,b   Zhang, Lu ^a   Hou, Ying ^b   Qiao, Jun Fei ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Dissolved oxygen (DO) concentration; nonlinear model predictive control (NMPC); recurrent radial basis function (SR RBF) neural networks; self organizing; wastewater treatment process (WWTP).

Indexed keywords

DISSOLVED OXYGEN; GRADIENT METHODS; LEARNING ALGORITHMS; NONLINEAR SYSTEMS; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; RECURRENT NEURAL NETWORKS; WASTEWATER TREATMENT;

ADAPTIVE LEARNING ALGORITHM; DISSOLVED OXYGEN CONCENTRATIONS; IMPROVED GRADIENT METHODS; LYAPUNOV STABILITY THEORY; NONLINEAR MODEL PREDICTIVE CONTROL; OPTIMIZATION PROBLEMS; RADIAL BASIS FUNCTIONS; WASTEWATER TREATMENT PROCESS;

MODEL PREDICTIVE CONTROL;

EID: 84940744200     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2015.2465174     Document Type: Article

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