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Optimally (suboptimally) input-decoupled filtering without statistical information on the input-H filtering

Part of the Systems & Control: Foundations & Applications book series (SCFA)

Abstract

We have been relaxing the performance requirements progressively and successively in previous chapters. Chapter 7 considers exact-input-decoupled (EID) filtering problems. When this is not possible, Chapters 8 and 9 consider almostinput-decoupled (AID) filtering problems, respectively, for the two cases, when the input is white noise and when no statistical information about the input is known. In Chapter 10, we look at optimally-input-decoupled (OID) filtering problems for the case when the input is white noise. As a natural continuation, this chapter looks at the optimally-input-decoupled (OID) filtering problems for the case when no information about the input is available except that it has a finite RMS value.

Keywords

Unit Circle Transfer Matrix Imaginary Axis Error Dynamic Auxiliary System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Birkhäuser Boston 2007

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