A neural network based intelligent model reference adaptive controller

2004 IEEE International Conference on Computational Intelligence for Measurements Systems and Applications, CIMSA

Volumn , Issue , 2004, Pages 174-179

  Kamalasadan, Sukumar ^a   Ghandakly, Adel A ^a  

^a The University of Toledo   (United States)

Author keywords

Intelligent Supervisory Loop; Model Reference Adaptive Controller; Radial Basis Neural Network

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; DATA ACQUISITION; DIFFERENTIATION (CALCULUS); FAILURE ANALYSIS; MANIPULATORS; MATRIX ALGEBRA; RADIAL BASIS FUNCTION NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); VECTORS;

INTELLIGENT SUPERVISORY LOOPS (ISL); MODEL REFERENCE ADAPTIVE CONTROLLERS (MRAC); MULTIMODAL DYNAMICS; RADIAL BASIS FUNCTION NEURAL NETWORKS (RBFNN);

NEURAL NETWORKS;

EID: 16244392725     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Petros A Ioannou, Jing Sun, "Robust Adaptive Control", Upper Saddle River,NJ: Prentice-Hall 1996.
2. Simon G Fabri et. al, "Functional Adaptive Control- An Intelligent Systems Approach", Springer-verlag, 2001.
3. Khalid S Al-Olimat, "Adaptive Control Algorithms with Multiple Models and Fuzzy Logic Switching", Ph.D. Dissertation, The University of Toledo, Toledo, OH. August 1999.
4. Kumpati S Narendra et al., "Identification and Control of Dynamical Systems using Neural Networks, Vol.11, No 1, March 1990, pp 4-25.
5. Daniel K Wedding, "Artificial Intelligent Control of Flexible Robotic Manipulators", Ph.D. Dissertation, The University of Toledo, Toledo, OH. May 1999.
6. Michael B McFarland, Anthony J Calise, "Robust Adaptive Control of Uncertain Nonlinear Systems Using Neural Networks", American Control Conference, Albuquerque, New Mexico, June 1997.
7. Rastko R Selmic, Frank L Lewis, "Identification of Nonlinear Systems Using RBF Neural Networks: Application to Multimodal Failure Detection", XVI taternational Conference on "Material Flow, Machines and Devices in Industry", Dec 7-8 2000.
8. Lu Yingwei et al, "performance Evaluation of Sequential Minimal Radial basis Function (RBF) Neural Network Learning Algorithm", IEEE Trans. On Neural Networks, Vol 9 No.2, pp 308-318, March 1998.
9. Y.Li et al., "Neuro- Controller Design for Nonlinear Fighter Aircraft maneuver using fully tuned RBF networks", Automatica 37 (2001), pp 1293-1301.