Adaptive H∞ optimal control strategy based on nonminimal state space realization

ASME International Mechanical Engineering Congress and Exposition, Proceedings

Volumn 9 PART C, Issue , 2008, Pages 1951-1958

  Yucelen, Tansel ^a   Pourboghrat, Farzad ^b  

^a SOUTHERN ILLINOIS UNIVERSITY   (United States)

^b Southern Illinois University Carbondale   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; ALGEBRA; APPROXIMATION ALGORITHMS; LINEAR SYSTEMS; PARAMETER ESTIMATION; STATE SPACE METHODS; ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); CONTINUOUS TIME SYSTEMS; MATRIX ALGEBRA; MIMO SYSTEMS; OPTIMAL CONTROL SYSTEMS; VIBRATIONS (MECHANICAL);

ALGEBRAIC RICCATI-MATRIX EQUATION (ARME); RECURSIVE KALMAN FILTER (RKF); STATE SPACE REALIZATION; CONTINUOUS-TIME LINEAR SYSTEMS; NEURAL NETWORK ALGORITHM; OPTIMAL CONTROL ALGORITHM; OPTIMAL CONTROL STRATEGY; PARAMETER ESTIMATION ALGORITHM; RECURSIVE KALMAN FILTERS; RICCATI MATRIX EQUATIONS;

OPTIMAL CONTROL SYSTEMS; ADAPTIVE CONTROL SYSTEMS;

EID: 44349174225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/IMECE2007-42993     Document Type: Conference Paper

References (16)

1. Ioannou, P., Fidan B., 2006, Adaptive control tutorial, Society for Industrial and Applied Mathematics, SIAM books.
2. Cao L., Schwartz H. M., 2004, "Analysis of the Kalman filter based estimation algorithm: An orthogonal decomposition approach", Automatica, 40, pp.5-19.
3. Cao L., Schwartz H. M., 2003, "Exponential convergence of the Kalman filter based parameter estimation algorithm", International Journal of Adaptive Control and Signal Processing, 17, pp.763-783.
4. Hagglund T., Astrom K. J., 2000, "Supervision of adaptive control algorithms", Automatica, 36, pp.1171-1180.
5. nd Ed., Upper Saddle River, NJ: Prentice-Hall.
6. Cirka L., Fikar M., 1998, "Identification tool for Simulink", Department of Process Control, FCFT SUT, technical report KAMF9803.
7. Zhou K., Doyle J. C., 1998, Essentials of robust control, Upper Saddle River, NJ: Prentice Hall.
8. Lin C.-L., Chen C.-L., 2001, "Realisation of a Riccati equation-based controller using gradient-type neural networks", Control Engineering Practice, 9, pp.329-341.
9. Lin C.-L., Chen C.-L., 2000, "A neural network for linear matrix inequality problems", IEEE Transactions on Neural Networks, 11(5), pp.1078-1092.
10. Wang J., Wu G., 1998, "A multilayer neural network for solving continuous-time algebraic Riccati equations", Neural Networks, 11, pp.939-950.
11. Dumont G. A., Huzmezan M., 2002, "Concepts, methods and techniques in adaptive control", IEEE Proc. of American Control Conference, pp.1137-1150.
12. th Edition, Springer-Verlag.
13. ∞ control problems", IEEE Trans. on Automatic Control, 34(8), pp.831-847.
14. ∞ control design", IEEE Proc. of Conference on Decision and Control, pp.231-236.
15. Quek S. T., Wang S. Y., Ang K. K., 2003, "Vibration control of composite plates via optimal placement of piezoelectric patches", J. Intelligent Material Systems and Structures, 14, pp.229-245.
16. Hwang J. K., Choi C. H., Song C. K., Lee J. M., 1997, "Robust LQG control of an all-clamped thin plate with piezoelectric actuators/sensors", IEEE/ASME Trans. Mechatronics, 2(2), pp.205-212.