The study of neural network-based controller for controlling dissolved oxygen concentration in a sequencing batch reactor

Bioprocess and Biosystems Engineering

Volumn 28, Issue 4, 2006, Pages 251-265

  Azwar, ^a   Hussain, M A ^b   Ramachandran, K B ^c  

^a SYIAH KUALA UNIVERSITY   (Indonesia)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Direct inverse neural network control; Dissolved oxygen; Hybrid neural network control; Internal model control; Sequencing batch reactor

Indexed keywords

ACOUSTIC NOISE; CONCENTRATION (PROCESS); DISSOLVED OXYGEN SENSORS; INVERSE KINEMATICS; LOGIC DESIGN; MATHEMATICAL MODELS; SEWAGE SLUDGE;

DISSOLVED OXYGEN; DISSOLVED OXYGEN (DO); INTERNAL MODEL CONTROL (IMC); SEQUENCING BATCH REACTOR (SBR);

NEURAL NETWORKS;

DISSOLVED OXYGEN;

ACTIVATED SLUDGE; AIRFLOW; ARTICLE; ARTIFICIAL NEURAL NETWORK; BATCH REACTOR; MATHEMATICAL MODEL; NOISE; PERFORMANCE; PRIORITY JOURNAL;

ALGORITHMS; BIOREACTORS; COMPUTER SIMULATION; FEEDBACK; FLOW INJECTION ANALYSIS; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); NITRATES; NITRITES; OXYGEN; SEWAGE; SOLUTIONS; WATER POLLUTANTS; WATER PURIFICATION;

EID: 33644667693     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-005-0031-2     Document Type: Article

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