An adaptive observer design approach for a class of discrete-time nonlinear systems

An adaptive observer design approach for a class of discrete-time nonlinear systems

Blog Article

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 product 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.We first develop the discrete-time version of this result for linear systems.

A Lyapunov approach is used to new belial model 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.