An Optimization Approach for Fuzzy Controller Design

Specification of membership functions for a fuzzy logic controller has been an important issue in engineering. This paper presents a new procedure for designing a fuzzy controller using a high-dimensional numerical optimization algorithm. In this study, effectiveness of an optimization program for designing a fuzzy controller is determined, and the relationship between membership functions and controller performance is discussed. The proposed method was applied to the blood pressure regulation problem as a case study

[1]  A. V. Sebald,et al.  An adaptive fuzzy controller for blood pressure regulation , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

[2]  I ScottKirkpatrick.  Optimization by Simulated Annealing: Quantitative Studies , 1984 .

[3]  M. L. Quinn,et al.  On the design and performance evaluation of adaptive fuzzy controllers , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[4]  A. Kandel,et al.  Fuzzy sets, fuzzy algebra, and fuzzy statistics , 1978, Proceedings of the IEEE.

[5]  M. L. Quinn,et al.  A dynamic empirical model of the human response to sodium nitroprusside during cardiac surgery , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[7]  M. L. Quinn,et al.  A fuzzy blood pressure controller , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  H. Dishkant.  About membership functions estimation , 1981 .