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Robust Kalman Filtering for Signals and Systems with Large Uncertainties

About Robust Kalman Filtering for Signals and Systems with Large Uncertainties

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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  • Language:
  • English
  • ISBN:
  • 9780817640897
  • Binding:
  • Hardback
  • Pages:
  • 220
  • Published:
  • November 9, 1999
  • Dimensions:
  • 160x18x241 mm.
  • Weight:
  • 500 g.
Delivery: 2-3 weeks
Expected delivery: January 12, 2025
Extended return policy to January 30, 2025
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Description of Robust Kalman Filtering for Signals and Systems with Large Uncertainties

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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