State Estimation and Fault Diagnosis under Imperfect Measurements

ISBN-13: 9781032313856 / Angielski / Twarda / 2022 / 224 str.

Yang Liu; Zidong Wang; Donghua Zhou

Opis

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.

Spis treści

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. H∞ 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 H∞ 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