Fuzzy Hyperbolic Neural Network Model and Its Application in H ∞ Filter Design
作者： Shuxian Lun , Zhaozheng Guo , Huaguang Zhang
DOI: 10.1007/978-3-540-87732-5_25
关键词:
摘要: This paper studies H∞filter based ona new fuzzy neural model for signal estimation of nonlinearcontinuous-time systems with time delays. First, a neuralmodel, called hyperbolic network (FHNNM), isdeveloped. FHNNM is combination the special andthe modified BP network. The main advantages using theFHNNM over traditional are that explicitexpression expert's experience and global analyticaldescription. In addition, by contrast networkbased T-S model, no premise structure identification needand completeness design variables space need.Next, we stable basedon linear matrix inequality (LMI) method.Simulation example provided to illustrate procedureof proposed method.
springer.com
sci-hub.st 参考文章(12)
R.M. Palhares, C.E. de Souza, P.L. Dias Peres, Robust /spl Hscr//sub /spl infin// filtering for uncertain discrete-time state-delayed systems IEEE Transactions on Signal Processing. ,vol. 49, pp. 1696- 1703 ,(2001) , 10.1109/78.934139
Chang-Shing Lee, Shu-Mei Guo, Chin-Yuan Hsu, None, A Novel Fuzzy Filter for Impulse Noise Removal international symposium on neural networks. ,vol. 3174, pp. 375- 380 ,(2004) , 10.1007/978-3-540-28648-6_59
Huaguang Zhang, Shuxian Lun, Derong Liu, Fuzzy $H_\infty$ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays IEEE Transactions on Fuzzy Systems. ,vol. 15, pp. 453- 469 ,(2007) , 10.1109/TFUZZ.2006.889841
Chung-Shi Tseng, Bor-Sen Chen, H/sub /spl infin// fuzzy estimation for a class of nonlinear discrete-time dynamic systems IEEE Transactions on Signal Processing. ,vol. 49, pp. 2605- 2619 ,(2001) , 10.1109/78.960407
Ching-Hung Lee, Yu-Ching Lin, An adaptive neuro-fuzzy filter design via periodic fuzzy neural network Signal Processing. ,vol. 85, pp. 401- 411 ,(2005) , 10.1016/J.SIGPRO.2004.09.011
E.E. Yaz, Linear Matrix Inequalities in System and Control Theory ,(1987)
Jiang Yu, Guang-hui Dong, Cao Jun, Method of Noise Cancellation Based on Adaptive Fuzzy Neural Networks Algorithm for Multi-Sensory Signals international conference on machine learning and cybernetics. pp. 2969- 2972 ,(2006) , 10.1109/ICMLC.2006.259148
Zhang Huaguang, Quan Yongbing, Modeling, identification, and control of a class of nonlinear systems IEEE Transactions on Fuzzy Systems. ,vol. 9, pp. 349- 354 ,(2001) , 10.1109/91.919256
Zhang Hua, Lun Shu, Delay-independent Fuzzy Hyperbolic Guaranteed Cost Control Design for a Class of Nonlinear Continuous-time Systems with Uncertainties Acta Automatica Sinica. ,(2005)
S-x Lun, H-g Zhang, Noise cancellation based on adaptive fuzzy neural networks algorithm for multi-sensory signals Control and Decision. ,(2004)