References
[1]. Sugeno, M. and Yasukawa, T., (1993). “A fuzzy logic
based approach to qualitative modeling,” IEEE Trans. on
Fuzzy Systems, Vol. FS-1, pp.7-31
[2]. Lee, C.C., (1990),. “Fuzzy logic in control systems:
Fuzzy logic controller-part I,” IEEE Trans. on System Man
and Cybernetics, Vol. 20, No. 2, pp. 404-418.
[3]. Lee, C.C., (1990). “Fuzzy logic in control systems:
Fuzzy logic controller-part II,” IEEE Trans. on System Man
and Cybernetics, Vol. 20, No. 2, pp. 419-435.
[4]. Bezine, Hale, Derbel, Nabil, Alime, Adel M., (2002).
“Fuzzy Control of Robotic Manipulator: Some Issue on
Design and Rule Base Size Reduction,” Engineering
Application of Artificial Intelligence, Vol. 15, pp. 401-416.
[5]. Ciliz, M. Kemal, (2005). “Rule Base Reduction for
Knowledge Based Fuzzy Controller with Application to
Vacuum Cleaner,” Expert System with Applications, Vol.
28, pp 175-184.
[6]. Hampel, Rainer, Chaker, Nasredin, (1998).
“Minimizing the Number of Variable Parameters for
Optimizing the Fuzzy Controller,” Fuzzy Sets and Systems,
Vol. 100, pp. 131-142.
[7]. Tadanari Taniguchi, Kazuo Tanaka, Hiroshi Ohtake,
Hua O. Wang, (2001). “Model Construction, Rule
Reduction, and Robust Compensation for Generalized
Form of TKS Fuzzy Systems,” IEEE Trans. on Fuzzy Systems,
Vol. 9, No. 4, pp. 525-538.
[8]. Arshia Azam, J. Amarnath and Ch. D. V. Paradesi
Rao,(2009). “Auto Regressive Tree Modeling for
Parametric Optimization in Fuzzy Logic Control System,
”Proceedings of World Academy of Science, Engineering
and Technology PWASET, Vol. 37, January pp 235-239.
[9]. Zeng, Xiao- Jun, Singh, Madan G., (1994).
“Approximation Theory of Fuzzy Systems-SISO Case,” IEEE
Trans. on Fuzzy Systems, Vol. 2, No. 2, pp. 162-194.
[10]. Zeng, Xiao-Jun, Singh, Madan G., (1995).
“Approximation Theory of Fuzzy Systems-MIMO Case,” IEEE
Trans. on Fuzzy Systems, Vol. 3, No.2, pp. 219-235.
[11]. Rakesh K. Arya, R. Mitra and Vijay Kumar, (2004).
“Approximations of large rule Takagi-Sugeno fuzzy controller by four rule Takagi-Sugeno fuzzy controller,”
Proc. of IEEE conference on Cybernetics and Intelligent
Systems CIS-04, Vol. 3, 1-3 Dec, Singapore, pp. 1340-
1345.
[12]. Rakesh K. Arya, R. Mitra and Vijay Kumar, (2005). “A
new Robust fuzzy controller for Nonlinear and large dead
time systems,” IEICE Trans. on Fundamentals/Special
sections on nonlinear analysis and applications,” Vol. E-
88-A, No. 10, Oct, 2527-2534.
[13]. Rakesh K. Arya, R. Mitra and Vijay Kumar, (2004).
“Approximations of large rule fuzzy controller by simplest
fuzzy controller,” Proc. of IEEE International Conference on
Fuzzy System, FUZZ-04, Vol. 3, Hungary, Budapest, pp.
1239-1244.
[14]. Gadoue, S.M. Giaouris, D. Findch J.W. (2009).
“Sensorless control of Induction Motor drives at very low
and zero speeds using Neural Network Flux observer”, IEEE Trans. On Industrial Electronics, Vol. 56 No. 8, Aug, pp
3029-3039.
[15]. Gadoue, S.M. Giaouris, D. Findch J.W. (2010). “MRAS
sensorless vector control of an Induction motor using new
sliding – mode and fuzzy logic adaptation mechanisms”,
IEEE Trans. on Energy Conversion, Vol. 25, No. 2, June, pp
394-102.
[16]. Gadoue, S.M. Giaouris, D. Findch J.W., (2008). “A
neural network based stator current MRAS observer for
speed sensorless induction motor drives” IEEE
International symposium on Industrial Electronics, ISIE
2008, June/July, pp 650-655.
[17]. Arshia Azam, Md. Haseeb Khan, (2013). “Reduced
rule fuzzy logic controller for performance improvement
of process control,” Proc. of 2013 IEEE International
conference on Information and communication
Technologies (ICT 2013), April, India, pp 853-857.
