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  • This chapter shows the interest of Takagi-Sugeno (T-S) fuzzy model ap- proach to apprehend nonlinear behaviors of physical systems and its application for observers design. From mathematical nonlinear model or experimental data, a T-S representation can be obtained using different techniques. This approach is largely exploited in many fields such as control, diagnosis and fault-tolerant control. Then the design of a robust T-S observer is addressed. The chapter considers a robust observer with respect to the uncertainties as well as unknown inputs. The synthesis of sufficient design conditions are performed using Lyapunov functions and set of linear matrix inequalities (L M I ). Two case studies are given. An example, deal- ing with a turbojet plane, shows how to obtain T-S representation using optimiza- tion algorithms. The validity of the proposed observer design is based on automatic steering of vehicles.
  • This chapter shows the interest of Takagi-Sugeno (T-S) fuzzy model ap- proach to apprehend nonlinear behaviors of physical systems and its application for observers design. From mathematical nonlinear model or experimental data, a T-S representation can be obtained using different techniques. This approach is largely exploited in many fields such as control, diagnosis and fault-tolerant control. Then the design of a robust T-S observer is addressed. The chapter considers a robust observer with respect to the uncertainties as well as unknown inputs. The synthesis of sufficient design conditions are performed using Lyapunov functions and set of linear matrix inequalities (L M I ). Two case studies are given. An example, deal- ing with a turbojet plane, shows how to obtain T-S representation using optimiza- tion algorithms. The validity of the proposed observer design is based on automatic steering of vehicles. (en)
Title
  • Takagi-Sugeno Fuzzy Representation to Modelling and State Estimation
  • Takagi-Sugeno Fuzzy Representation to Modelling and State Estimation (en)
skos:prefLabel
  • Takagi-Sugeno Fuzzy Representation to Modelling and State Estimation
  • Takagi-Sugeno Fuzzy Representation to Modelling and State Estimation (en)
skos:notation
  • RIV/61989100:27240/13:86084982!RIV14-GA0-27240___
http://linked.open...avai/riv/aktivita
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  • P(EE.2.3.20.0072), P(GA13-08195S), S
http://linked.open...vai/riv/dodaniDat
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  • 109790
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  • RIV/61989100:27240/13:86084982
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  • Estimation; State; and; Modelling; Representation; Fuzzy; Takagi-Sugeno (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [36674881609D]
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Handbook of optimization : from classical to modern approach
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zelinka, Ivan
  • Chadli, Mohammed
  • Guerra, Thierry-Marie
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-30503-0
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  • 27240
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