Titlebook: Robust Kalman Filtering for Signals and Systems with Large Uncertainties; Ian R. Petersen,Andrey V. Savkin Book 1999 Springer Science+Busi

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Robust State Estimation with Discrete and Continuous Measurements,nly at discrete sampling instants. Hence, we are motivated to consider“hybrid” problems of problems of state estimation and model validation in which the underlying process model is continuous but the available measured data are available at discrete sampling times. Furthermore, we extend this probl

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Set-Valued State Estimation with Structured Uncertainty,mation results for a class of uncertain systems with structured uncertainties. This class of uncertain systems is one in which the uncertainty is described by an “Averaged Integral Quadratic Constraint”(AIQC). This uncertainty description extends the standard integral quadratic constraint uncertaint

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Set-Valued State Estimation for Nonlinear Uncertain Systems, are many applications of Kalman Filtering in which the underlying signal model is nonlinear. The approach which we will follow in this chapter is the set-valued state estimation approach such as presented in Chapter 4. We will model the uncertainty and disturbances in the system deterministically v

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Robust Filtering Applied to Induction Motor Control,d in an induction motor control problem. This application of robust filtering to induction motor control was first presented in the paper [105]. The induction motor control problem investigated in [105] and in a related paper [108] involves the construction of a robust version of Direct Torque Contr

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2373-7719 owever, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version of the Kalman

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https://doi.org/10.1007/978-1-4612-1594-3Kalman filter; control engineering; design; development; filter; filtering; filters; signal processing; stab

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