The design of neural network direct inverse controller based on complex particle swarm optimization algorithm

Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2006

Volumn , Issue , 2007, Pages 382-385

  Mo, Yuan Bin ^a   Liu, He Tong ^a  

^a Jiliang University   (China)

Author keywords

Controller; Method of complex; Neural network; Optimal plan; Particle swarm optimization

Indexed keywords

CONTROL SYSTEMS; CURVE FITTING; DATA ACQUISITION; DYNAMIC PROGRAMMING; DYNAMIC RESPONSE; IMAGE CLASSIFICATION; INVERSE PROBLEMS; KNOWLEDGE ACQUISITION; KNOWLEDGE BASED SYSTEMS; MACHINE DESIGN; NEURAL NETWORKS; OPTIMIZATION;

CONTROL SIGNALLING; DESIGN METHODS; DIRECT INVERSE CONTROL; DYNAMIC SYSTEMS; INTERNATIONAL SYMPOSIUM; INVERSE CONTROLLERS; NEURO-CONTROLLERS; OPTIMIZED CONTROL; PARTICLE SWARM OPTIMIZATION (PSO); PARTICLE SWARM OPTIMIZATION ALGORITHM (PSOA); SIMULATION RESULTS; SYNCHRONOUS MACHINES; TEST BEDS; TRAINING DATA;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 46449127159     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SYNASC.2006.72     Document Type: Conference Paper

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