State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems

State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2013, 10(2): 118-124. doi: 10.1007/s11633-013-0704-2
引用本文: State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2013, 10(2): 118-124. doi: 10.1007/s11633-013-0704-2
State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems. International Journal of Automation and Computing, vol. 10, no. 2, pp. 118-124, 2013. doi: 10.1007/s11633-013-0704-2
Citation: State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems. International Journal of Automation and Computing, vol. 10, no. 2, pp. 118-124, 2013. doi: 10.1007/s11633-013-0704-2

State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems

doi: 10.1007/s11633-013-0704-2

State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems

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出版历程
  • 收稿日期:  2011-06-01
  • 修回日期:  2012-10-09
  • 刊出日期:  2013-04-20

State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems

doi: 10.1007/s11633-013-0704-2

摘要: This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms.

English Abstract

State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2013, 10(2): 118-124. doi: 10.1007/s11633-013-0704-2
引用本文: State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2013, 10(2): 118-124. doi: 10.1007/s11633-013-0704-2
State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems. International Journal of Automation and Computing, vol. 10, no. 2, pp. 118-124, 2013. doi: 10.1007/s11633-013-0704-2
Citation: State Observer Based Dynamic Fuzzy Logic System for a Class of SISO Nonlinear Systems. International Journal of Automation and Computing, vol. 10, no. 2, pp. 118-124, 2013. doi: 10.1007/s11633-013-0704-2
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