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author:

Huang, Zhenkun (Huang, Zhenkun.) [1] | Chen, Shuili (Chen, Shuili.) [2] | Xia, Yonghui (Xia, Yonghui.) [3]

Indexed by:

EI

Abstract:

In this paper, we incorporate intelligence into Kolmogorov's ecological system, that is, we propose a fuzzy system to combine heuristic rules into the design of nonlinear adaptive controller, where the heuristic rules are in the form of fuzzy IF-THEN rules. By using Lyapunov synthesis approach, we attain an adaptive law adjusting the free parameters in the controller such that the closed-loop system follows a desired trajectory. Although there exist uncertainty and chaos in Komogorov's model, application shows that an adaptive fuzzy control is a powerful tool to pursuit sustainable development of ecology. © 2005 Elsevier Inc. All rights reserved.

Keyword:

Adaptive control systems Ecosystems Fuzzy control Heuristic methods Lyapunov methods Nonlinear systems Parameter estimation Sustainable development

Community:

  • [ 1 ] [Huang, Zhenkun]Department of Mathematics, Zhejiang University, Hangzhou, Zhejiang 310000, China
  • [ 2 ] [Huang, Zhenkun]School of Sciences, Jimei University, Xiamen, Fujian 361021, China
  • [ 3 ] [Chen, Shuili]School of Sciences, Jimei University, Xiamen, Fujian 361021, China
  • [ 4 ] [Xia, Yonghui]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China

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Source :

Applied Mathematics and Computation (New York)

ISSN: 0096-3003

Year: 2006

Issue: 1

Volume: 177

Page: 243-250

0 . 8 1 6

JCR@2006

3 . 5 0 0

JCR@2023

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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