State Estimation and Fault Diagnosis under Imperfect Measurements
portes grátis
State Estimation and Fault Diagnosis under Imperfect Measurements
Wang, Zidong; Zhou, Donghua; Liu, Yang
Taylor & Francis Ltd
08/2022
198
Dura
Inglês
9781032313856
15 a 20 dias
571
Descrição não disponível.
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Recursive Filtering;Optimal Filtering;Fault Detection;Time Delay;H? Filter Design;Transmissions;Sensor;Filtering Error;Filtering Error Covariance;Filtering Error Variance;Fault Estimation Problem;Filtering Problem;Missing Measurements;Distributed Filtering Problem;Time Varying Systems;Proposed Filter Algorithm;Logarithmic Quantizer;Linear Discrete Time Systems;Fault Detection Problem;Filter Gain;Filtering Error System;Observer Design Problem;Network Induced Time Delays;Uniform Ultimate Boundedness;Minimum Variance Filter;Delayed System State;Unknown Inputs;Estimation Error Covariance;Sensor Saturation;Open Loop Observer;Conditional PDF;Pi Control
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Recursive Filtering;Optimal Filtering;Fault Detection;Time Delay;H? Filter Design;Transmissions;Sensor;Filtering Error;Filtering Error Covariance;Filtering Error Variance;Fault Estimation Problem;Filtering Problem;Missing Measurements;Distributed Filtering Problem;Time Varying Systems;Proposed Filter Algorithm;Logarithmic Quantizer;Linear Discrete Time Systems;Fault Detection Problem;Filter Gain;Filtering Error System;Observer Design Problem;Network Induced Time Delays;Uniform Ultimate Boundedness;Minimum Variance Filter;Delayed System State;Unknown Inputs;Estimation Error Covariance;Sensor Saturation;Open Loop Observer;Conditional PDF;Pi Control
