Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

Control Engineering Practice

Volumn 20, Issue 4, 2012, Pages 465-476

  Han, Hong Gui ^a   Qiao, Jun Fei ^a   Chen, Qi Li ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Benchmark simulation model 1; Dissolved oxygen concentration control; Model predictive control; Self organizing radial basis function; Wastewater treatment process

Indexed keywords

ACTIVATED SLUDGE; AERATION ENERGY; DISSOLVED OXYGEN CONCENTRATIONS; DO CONCENTRATION; DYNAMIC PROCESS; EFFLUENT QUALITY; HIDDEN NODES; LOWER AVERAGE; MUTUAL INFORMATIONS; NETWORK COMPLEXITY; NONLINEAR BEHAVIOR; PERFORMANCE COMPARISON; PREDICTION ACCURACY; PREDICTIVE CONTROL; PREDICTIVE CONTROL STRATEGY; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SELF ORGANIZING; SIMULATION MODEL; WASTEWATER TREATMENT PROCESS;

ACTIVATED SLUDGE PROCESS; COMPUTER SIMULATION; MODEL PREDICTIVE CONTROL; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; WATER QUALITY;

PREDICTIVE CONTROL SYSTEMS;

EID: 84857190993     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2012.01.001     Document Type: Article

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