Skip to main content
Top
Published in: Soft Computing 5/2013

01-05-2013 | Methodologies and Application

Robust H output feedback control with pole placement constraints for uncertain discrete-time fuzzy systems

Authors: Mourad Kchaou, Mansour Souissi, Ahmed Toumi

Published in: Soft Computing | Issue 5/2013

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper investigates the problem of multi-objective control for a class of uncertain discrete-time fuzzy systems. The state-space Takagi–Sugeno T–S fuzzy model with linear fractional parameter uncertainties is adopted. Based on a linear matrix inequality approach and via so-called dynamic parallel distributed compensation, a fuzzy full-order dynamic output feedback controller is developed such that the L 2 gain performance from the exogenous input signals to the controlled output is less than or equal to some prescribed value and, for all admissible uncertainties, the closed-loop poles of each local system are within a pre-specified sub-region of complex plane. Two numerical examples are provided to illustrate the effectiveness of the proposed design method.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Literature
go back to reference Assawinchaichote W, Nguang S (2006) Fuzzy H ∞ output feedback control design for singularly perturbed systems with pole placement constraints: An LMI approach. IEEE Trans Fuzzy Syst 14(3):361–371CrossRef Assawinchaichote W, Nguang S (2006) Fuzzy H output feedback control design for singularly perturbed systems with pole placement constraints: An LMI approach. IEEE Trans Fuzzy Syst 14(3):361–371CrossRef
go back to reference Assawinchaichote W, Nguang SK, Shi P, Boukas E (2008) H ∞ state-feedback control design for nonlinear systems with D-stability constraints: LMI approach. Math Comput Simul 78:514–531MathSciNetMATHCrossRef Assawinchaichote W, Nguang SK, Shi P, Boukas E (2008) H state-feedback control design for nonlinear systems with D-stability constraints: LMI approach. Math Comput Simul 78:514–531MathSciNetMATHCrossRef
go back to reference Cao Y, Frank PR (2000) H ∞ disturbance attenuation for a class of uncertain discrete-time fuzzy systems. IEEE Trans Fuzzy Syst 8(4):406–415CrossRef Cao Y, Frank PR (2000) H disturbance attenuation for a class of uncertain discrete-time fuzzy systems. IEEE Trans Fuzzy Syst 8(4):406–415CrossRef
go back to reference Chang L, Min-Long L Observer-based robust (2004) H ∞ control for fuzzy systems using two-step procedure. IEEE Trans Fuzzy Syst 12(3):350–359CrossRef Chang L, Min-Long L Observer-based robust (2004) H control for fuzzy systems using two-step procedure. IEEE Trans Fuzzy Syst 12(3):350–359CrossRef
go back to reference Chen B, Tseng C, Uang H (2000) Mixed H 2/H ∞ fuzzy output feedback control for nonlinear dynamic systems. IEEE Trans Fuzzy Syst 8(3):249–265CrossRef Chen B, Tseng C, Uang H (2000) Mixed H 2/H fuzzy output feedback control for nonlinear dynamic systems. IEEE Trans Fuzzy Syst 8(3):249–265CrossRef
go back to reference Chen S, Chang Y, Su S, Chung S, Lee T (2005) Robust static output-feedback stabilization for nonlinear discrete-time systems with time delay via fuzzy control approach. IEEE Trans Fuzzy Syst 13(2):263–272CrossRef Chen S, Chang Y, Su S, Chung S, Lee T (2005) Robust static output-feedback stabilization for nonlinear discrete-time systems with time delay via fuzzy control approach. IEEE Trans Fuzzy Syst 13(2):263–272CrossRef
go back to reference Din B, Sun H, Yang P (2006) Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi–Sugeno’s form. Automatica 42:503–508CrossRef Din B, Sun H, Yang P (2006) Further studies on LMI-based relaxed stabilization conditions for nonlinear systems in Takagi–Sugeno’s form. Automatica 42:503–508CrossRef
go back to reference Gahinet P, Nemirovski A, Laub AJ, Chilali M (1995) LMI control toolbox user guide. The MathWorks Inc, Natick Gahinet P, Nemirovski A, Laub AJ, Chilali M (1995) LMI control toolbox user guide. The MathWorks Inc, Natick
go back to reference Gao H, Wang Z, Wang C (2005) Improved H ∞ control for discrete-time fuzzy dynamic systems: a cone complementarity linearization approach. Inf Sci 175:57–77MATHCrossRef Gao H, Wang Z, Wang C (2005) Improved H control for discrete-time fuzzy dynamic systems: a cone complementarity linearization approach. Inf Sci 175:57–77MATHCrossRef
go back to reference Guerra T, Vermeiren L (2004) LMI-based relaxed non quadratic stabilization conditions for nonlinear systems in the Takagi Sugeno’s form. Automatica 40:823–829MathSciNetMATHCrossRef Guerra T, Vermeiren L (2004) LMI-based relaxed non quadratic stabilization conditions for nonlinear systems in the Takagi Sugeno’s form. Automatica 40:823–829MathSciNetMATHCrossRef
go back to reference Han Z, Feng G, Walcott B, Zhang Y (2000) H ∞ controller design of fuzzy dynamic systems with pole placement constraints. In: Proceedings of the american control conference, Chicago, Illinois Han Z, Feng G, Walcott B, Zhang Y (2000) H controller design of fuzzy dynamic systems with pole placement constraints. In: Proceedings of the american control conference, Chicago, Illinois
go back to reference Kau S, Lee H, Yang C, Lee C Robust (2007) H ∞ fuzzy static output feedback control of TS fuzzy systems with parametric uncerainties. Fuzzy Sets Syst 158:135–146MathSciNetMATHCrossRef Kau S, Lee H, Yang C, Lee C Robust (2007) H fuzzy static output feedback control of TS fuzzy systems with parametric uncerainties. Fuzzy Sets Syst 158:135–146MathSciNetMATHCrossRef
go back to reference Kim E, Lee H (2000) New approaches to relaxed quadratic stability condition of fuzy control systems. IEEE Trans Fuzzy Syst 8(5):523–534CrossRef Kim E, Lee H (2000) New approaches to relaxed quadratic stability condition of fuzy control systems. IEEE Trans Fuzzy Syst 8(5):523–534CrossRef
go back to reference Lee H, Park J, Chen G (2001) Robust fuzzy control of nonlinear systems with parametric uncertainties. IEEE Trans Fuzzy Syst 9(3):369–379 Lee H, Park J, Chen G (2001) Robust fuzzy control of nonlinear systems with parametric uncertainties. IEEE Trans Fuzzy Syst 9(3):369–379
go back to reference Li J, Wang H, Niemann D, Tanaka K (2000) Dynamic parallel distributed compensation for Takagi-Sugeno fuzzy systems: an LMI approach. Inf Sci 123:201–221MathSciNetMATHCrossRef Li J, Wang H, Niemann D, Tanaka K (2000) Dynamic parallel distributed compensation for Takagi-Sugeno fuzzy systems: an LMI approach. Inf Sci 123:201–221MathSciNetMATHCrossRef
go back to reference Loo J, Lin M Robust (2004) H ∞ nonlinear modelling and control via uncertain fuzzy systems. Fuzzy Sets Syst 143:189–209CrossRef Loo J, Lin M Robust (2004) H nonlinear modelling and control via uncertain fuzzy systems. Fuzzy Sets Syst 143:189–209CrossRef
go back to reference Nguang SK, Shi P Robust (2006) H ∞ output feedback control design for fuzzy dynamic systems with quadratic D-stability constraints: an LMI approach. Inf Sci 176:2161–2191MathSciNetMATHCrossRef Nguang SK, Shi P Robust (2006) H output feedback control design for fuzzy dynamic systems with quadratic D-stability constraints: an LMI approach. Inf Sci 176:2161–2191MathSciNetMATHCrossRef
go back to reference Paucelle D, Arzelier D, Bachelier O, Bernussou J (2002) A new robust D-stability condition for real convex polytopic uncertainty. Syst Control Lett 40:21–30CrossRef Paucelle D, Arzelier D, Bachelier O, Bernussou J (2002) A new robust D-stability condition for real convex polytopic uncertainty. Syst Control Lett 40:21–30CrossRef
go back to reference Razavi-Pannah J, Majd V (2008) A robust multiobjective DPDC for uncertain TS fuzzy systems. Fuzzy Sets Syst 159(20):2749–2762CrossRef Razavi-Pannah J, Majd V (2008) A robust multiobjective DPDC for uncertain TS fuzzy systems. Fuzzy Sets Syst 159(20):2749–2762CrossRef
go back to reference Takagi T, Sugeno M (1985) Fuzzy identification of systems an its application to modelling and control. Trans Syst Man Cybern 15:116–132MATHCrossRef Takagi T, Sugeno M (1985) Fuzzy identification of systems an its application to modelling and control. Trans Syst Man Cybern 15:116–132MATHCrossRef
go back to reference Tanaka K, Ikeda T, Wang H (1996) Robsut stabilization of a class of uncertain nonlinear systems via fuzzy control: Quadratic stabilizability , H ∞ control theory, and linear matrix inequalities. IEEE Trans Fuzzy Syst 4(1):1–13CrossRef Tanaka K, Ikeda T, Wang H (1996) Robsut stabilization of a class of uncertain nonlinear systems via fuzzy control: Quadratic stabilizability , H control theory, and linear matrix inequalities. IEEE Trans Fuzzy Syst 4(1):1–13CrossRef
go back to reference Tanaka K, Ikeda T, Wang H (1998) Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs. IEEE Trans Fuzzy Syst 6(2):250–265CrossRef Tanaka K, Ikeda T, Wang H (1998) Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs. IEEE Trans Fuzzy Syst 6(2):250–265CrossRef
go back to reference Tanaka K., Nishimura M., Wang H. (1998) Multi-objective fuzzy control of high rise/high speed elevators using LMIs. In: Proceedings of the American Control Conference, vol 6, Philadelphia, PA, pp 3450–3454 Tanaka K., Nishimura M., Wang H. (1998) Multi-objective fuzzy control of high rise/high speed elevators using LMIs. In: Proceedings of the American Control Conference, vol 6, Philadelphia, PA, pp 3450–3454
go back to reference Tuan H, Apkarian P, Narikiyo T, Yamamoto Y (2001) Parametrized linear matrix inequality techiques in fuzzy control system design. IEEE Trans Fuzzy Syst 9(2):324–332CrossRef Tuan H, Apkarian P, Narikiyo T, Yamamoto Y (2001) Parametrized linear matrix inequality techiques in fuzzy control system design. IEEE Trans Fuzzy Syst 9(2):324–332CrossRef
go back to reference Wang H, Tanaka K, Griffin M (1996) An approach to fuzzy control of nonlinear systems: stability and design issues. IEEE Trans Fuzzy Syst 4(1):14–23CrossRef Wang H, Tanaka K, Griffin M (1996) An approach to fuzzy control of nonlinear systems: stability and design issues. IEEE Trans Fuzzy Syst 4(1):14–23CrossRef
go back to reference Wang L, Feng G (2004) Piecewise H ∞ controller design of discrete-time fuzzy systems. IEEE Trans Fuzzy Syst 34(1):682–686 Wang L, Feng G (2004) Piecewise H controller design of discrete-time fuzzy systems. IEEE Trans Fuzzy Syst 34(1):682–686
go back to reference Wu H, Zhang H (2005) Reliable mixed H 2 / H ∞ fuzzy static output feedback control for nonlinear systems with sensor faults. Automatica 41:1925–1932MATHCrossRef Wu H, Zhang H (2005) Reliable mixed H 2 / H fuzzy static output feedback control for nonlinear systems with sensor faults. Automatica 41:1925–1932MATHCrossRef
go back to reference Xiaodong L, Qingling Z (2003) New approaches to H ∞ controller designs based on observers for T–S fuzzy systems via LMI. Automatica 39:1571–1582MATHCrossRef Xiaodong L, Qingling Z (2003) New approaches to H controller designs based on observers for T–S fuzzy systems via LMI. Automatica 39:1571–1582MATHCrossRef
go back to reference Xie L (1996) Output feedback H ∞ control of systems with parameters uncertainties. Int J Control 63(4):741–750MATHCrossRef Xie L (1996) Output feedback H control of systems with parameters uncertainties. Int J Control 63(4):741–750MATHCrossRef
go back to reference Xu S, Lam J (2005) Robust H ∞ control for uncertain discrete-time-delay fuzzy systems via output feedack controllers. IEEE Trans Fuzzy Syst 13(1):82–93CrossRef Xu S, Lam J (2005) Robust H control for uncertain discrete-time-delay fuzzy systems via output feedack controllers. IEEE Trans Fuzzy Syst 13(1):82–93CrossRef
go back to reference Zhang H, Dang C (2008) Piecewise H ∞ controller design of uncertain discrete-time fuzzy systems with time delays. IEEE Trans Fuzzy Syst 16(6):1649–1655CrossRef Zhang H, Dang C (2008) Piecewise H controller design of uncertain discrete-time fuzzy systems with time delays. IEEE Trans Fuzzy Syst 16(6):1649–1655CrossRef
go back to reference Zhou S, Feng G (2006) Generalised H 2 controller synthesis for uncertain discrete-time fuzzy systems via basis-dependent L yapunov functions. IEE Proc Control Theory Appl 153(1):74–80CrossRef Zhou S, Feng G (2006) Generalised H 2 controller synthesis for uncertain discrete-time fuzzy systems via basis-dependent L yapunov functions. IEE Proc Control Theory Appl 153(1):74–80CrossRef
Metadata
Title
Robust H ∞ output feedback control with pole placement constraints for uncertain discrete-time fuzzy systems
Authors
Mourad Kchaou
Mansour Souissi
Ahmed Toumi
Publication date
01-05-2013
Publisher
Springer-Verlag
Published in
Soft Computing / Issue 5/2013
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-012-0958-6

Other articles of this Issue 5/2013

Soft Computing 5/2013 Go to the issue

Premium Partner