Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Book Details
Format
Hardback or Cased Book
Book Series
Control Engineering
ISBN-10
0817640894
ISBN-13
9780817640897
Publisher
Birkhauser Boston Inc
Imprint
Birkhauser Boston Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 10th, 1999
Print length
210 Pages
Weight
420 grams
Product Classification:
Mechanical engineeringDigital signal processing (DSP)Signal processingImage processing
Ksh 13,500.00
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The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities.
1 Introduction.- 2 Continuous-Time Quadratic Guaranteed Cost Filtering.- 3 Discrete-Time Quadratic Guaranteed Cost Filtering.- 4 Continuous-Time Set-Valued State Estimation and Model Validation.- 5 Discrete-Time Set-Valued State Estimation.- 6 Robust State Estimation with Discrete and Continuous Measurements.- 7 Set-Valued State Estimation with Structured Uncertainty.- 8 Robust H? Filtering with Structured Uncertainty.- 9 Robust Fixed Order H? Filtering.- 10 Set-Valued State Estimation for Nonlinear Uncertain Systems.- 11 Robust Filtering Applied to Induction Motor Control.- References.
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