3Chang W D,Hwang R C,Hsieh J G.A self-tuning PID controlfor a class of nonlinear systems based on the Lyapunov approach[J].Journal of Process Control,2002,12(2):233-242.
6Visioli A. Tuning of PID controllers with fuzzy logic[ J ]. IEEE proc. online ,2001,148 (1) : 1- 8.
7Leonid Reznika, Omar Ghanayemb, Anna Bourmistrov. PID plus fuzzy controller structures as a design base for industrial applications [ J ]. Engineering Applications of Artificial Intelligence,2000 (13) :419 -430.
3HOLLAND J H. Adaptation in natural and artificial systems [ M ]. Michigan: Ann Arbor University of Michigan Press, 1975.
4GOLDBERG D E. Algorithms in Search, Optimization and Machine Learning[ M ]. New York : Addison-Weley, 1989.
5MING-TZU HO, ANIRUDDHA DATFA, S P BHATFA- CHARYYA. Generalizations of the Hermite-Biehler theorem [ J ]. Linear Algebra and its Application, 1999 : 135 - 153.
6MING-TZU HO, AN1RUDDHA DATrA, S P BHATI'A- CHARYYA. Generalizations of the Hermite-Biehler theo- rem:the complex case[ J]. Linear Algebra and its Applica- tions ,2000:23 - 36.
7徐玖平;吴巍.多属性决策的理论与方法[M]北京:清华大学出版社,2006.
8Datta A, Ho M T, Bhattacharyya S P. Structure and Synthesis of PID Contro llers[M]. London: Springer, 2000.
9Ming-TZU HO, Aniruddha Datta, S P Bhattacharyya. Generalizations of the Hermite-Biehler theorem[J]. Linear Algebra and its Applications,1999:135-153.
10Ming-TZU HO, Aniruddha Datta, S P Bbattacharyy& Generalizations of the Hermite-Biehler theorem: the complex case[J]. Linear Algebra and its Applications, 2000 : 23-36.
