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El. knyga: State Estimation and Fault Diagnosis under Imperfect Measurements

(Loughborough University, UK.), (Brunel Uni, UK), (Loughborough University, U.K.)
  • Formatas: 222 pages
  • Išleidimo metai: 31-Aug-2022
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781000641110
Kitos knygos pagal šią temą:
State Estimation and Fault Diagnosis under Imperfect MeasurementsDidesnis paveikslėlis
  • Formatas: 222 pages
  • Išleidimo metai: 31-Aug-2022
  • Leidėjas: CRC Press
  • Kalba: eng
  • ISBN-13: 9781000641110
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The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochastic phenomena. It covers state estimation design methodologies and FD unit design methodologies.

The objective of this book is to present the up-to-date research developments and novel methodologies on state estimation and fault diagnosis (FD) techniques for a class of complex systems subject to closed-loop control, nonlinearities, and stochastic phenomena. It covers state estimation design methodologies and FD unit design methodologies including framework of optimal filter and FD unit design, robust filter and FD unit design, stability, and performance analysis for the considered systems subject to various kinds of complex factors.

Features:

  • Reviews latest research results on the state estimation and fault diagnosis issues.

  • Presents comprehensive framework constituted for systems under imperfect measurements.

  • Includes quantitative performance analyses to solve problems in practical situations.

  • Provides simulation examples extracted from practical engineering scenarios.

  • Discusses proper and novel techniques such as the Carleman approximation and completing the square method is employed to solve the mathematical problems.

This book aims at Graduate students, Professionals and Researchers in Control Science and Application, Stochastic Process, Fault Diagnosis, and Instrumentation and Measurement.

1. Introduction
2. Optimal Filtering for Networked Systems with Stochastic Sensor Gain Degradation
3. Recursive Filtering over Sensor Networks with Stochastic Sensor Gain Degradation
4. H8 Filtering for Nonlinear Systems with Stochastic Sensor Saturations and Markov Time-Delays
5. Observer Design for Systems with Unknown Inputs and Missing Measurements
6. Filtering and Fault Detection for Nonlinear Systems with Polynomial Approximation
7. Event-triggered Filtering and Fault Estimation for Nonlinear Systems with Stochastic Sensor Saturations
8. Finite-horizon Quantized H8 Filter Design for Time-Varying Systems under Event-Triggered Transmissions
9. Observer-Based Fault Diagnosis Schemes under Closed-loop Control
10. State Estimation and Fault Reconstruction with Integral Measurements under Partially Decoupled Disturbances
11. Conclusion and Further Work
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