Application of soft computing techniques to a LQG controller design

Advanced Design and Manufacture to Gain a Competitive Edge: New Manufacturing Techniques and their Role in Improving Enterprise Performance

Volumn , Issue , 2008, Pages 137-146

  Khan, S G ^a   Naeem, W ^b   Sutton, R ^c   Sharma, S ^c  

^a GIK INSTITUTE OF ENGINEERING SCIENCES AND TECHNOLOGY   (Pakistan)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^c UNIVERSITY OF PLYMOUTH   (United Kingdom)

Author keywords

Fuzzy logic; Kalman filter; LQG; LQR; State space

Indexed keywords

COMPUTER CIRCUITS; COVARIANCE MATRIX; DESIGN; FUZZY FILTERS; FUZZY LOGIC; HEURISTIC METHODS; KALMAN FILTERS; MANUFACTURE; MIMO SYSTEMS; OPTIMIZATION; SOFT COMPUTING; STATE SPACE METHODS;

FUZZY KALMAN FILTERS; HEURISTIC PROCEDURES; LINEAR QUADRATIC GAUSSIAN CONTROLLERS; LINEAR QUADRATIC REGULATOR; NOISE COVARIANCE MATRIX; SOFTCOMPUTING TECHNIQUES; SYSTEM IDENTIFICATION TECHNIQUES; TWIN ROTOR MIMO SYSTEM (TRMS);

CONTROLLERS;

EID: 77957342942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-84800-241-8_15     Document Type: Conference Paper

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