[1]
|
W. S. Levine(ed).[J].The Control Handbook, CRC Press/IEEE Press.1996,:- |
[2]
|
Y. Li.[J].K, C. Tan, K. C. Ng, D. J. Murray-Smith, Performance based linear control system design by genetic evolution with simulated annealing, Proc. 34th IEEE CDC, New Orleans, nn. 731-73.1995,:- |
[3]
|
Y. Li.[J].A. Haeussler, Artificial evolution of neural networks and its application to feedback control, Int. J. Artificial Intelligence in Engineering, vol. 10, no. 2, pp. 143-15.1996,:- |
[4]
|
K. C. Ng, Switching Control Systems and Their Design Au-tomation via Genetic Algorithms, Ph.D. Thesis, Dept.of Electronics and Electrical Engineering, University of Glas-gow.1995. |
[5]
|
K. C. Tan, Evolutionary Methods for Modelling and Control of Linear and Non-linear Systems, Ph.D. Thesis, Dept. of Electronics and Electrical Engineering, University of Glas-gow, mar. |
[6]
|
X. Guan, K. J. MacCallum, Adopting a minimum commitment principle for computer aided geometric design systerns, Artificial Intelligence in Design, J. S. Gero,F. Sudweeks(eds), Kluwer Academic Publishers, pp.623-639,1996. |
[7]
|
M. Zhuang.[J].D.P. Atherton, Automatic tuning of optimum PID controllers,IEE Proceeding-Part D, vol.140, no.1993,3:- |
[8]
|
K. J.Åström, T. Hagglund, PID Controllers:Theory, Design and Tuning, Instrument Society of America,1995. |
[9]
|
J. C. Doyle.[J].B. Francis, A. Tannenbaum, Feedback Control Theory, Macmillan Publishing Company, New York.1992,:- |
[10]
|
M. Chowdhury.[J].Y. Li, Learning fuzzy control systems directly from the environment, Int. J. Intelligent Systems, vol. 13, no. 10-11, pp. 949-97.1998,:- |