@misc{Srinivasarengan_Krishnan_An,
 author={Srinivasarengan, Krishnan and Ragot, José and Aubrun, Christophe and Maquin, Didier},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={We consider the problem of joint estimation of states and some constant parameters for a class of nonlinear discrete-time systems. This class contains systems that could be transformed into a quasi-LPV (linear parameter varying) polytopic model in the Takagi-Sugeno (T-S) form. Such systems could have unmeasured premise variables, a case usually overlooked in the observer design literature. We assert that, for such systems in discrete-time, the current literature lacks design strategies for joint state and parameter estimation. To this end, we adapt the existing literature on continuous-time linear systems for joint state and time-varying parameter estimation.},
 abstract={We first develop the discrete-time version of this result for linear systems. A Lyapunov approach is used to illustrate stability, and bounds for the estimation error are obtained via the bounded real lemma. We use this result to achieve our objective for a design procedure for a class of nonlinear systems with constant parameters. This results in less conservative conditions and a simplified design procedure. A basic waste water treatment plant simulation example is discussed to illustrate the design procedure.},
 type={artykuł},
 title={An adaptive observer design approach for a class of discrete-time nonlinear systems},
 keywords={adaptive observer, joint state and parameter estimation, Takagi-Sugeno model, time-varying parameter estimation, sector nonlinearity transformation, discrete-time nonlinear systems},
}