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Communication-protocol-based filtering and control of networked systems / / Lei Zou, Zidong Wang and Jinling Liang
Communication-protocol-based filtering and control of networked systems / / Lei Zou, Zidong Wang and Jinling Liang
Autore Zou Lei
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (xvi, 212 pages) : illustrations (some color)
Disciplina 004.62
Collana Studies in systems, decision and control
Soggetto topico Computer network protocols
Control theory
Information filtering systems
ISBN 3-030-97512-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction Ultimately Bounded Filtering for Complex Networks Under Round-Robin Protocol Finite-horizon H-infinity Filtering with Random Access protocol and High-Rate Communication Finite-horizon H-infinity fault estimation of time-varying systems with Random Access Protocol Set-Membership Filtering under Round-Robin Protocol and Try-Once-Discard Protocol Recursive Filtering for Time-Varying Systems with Random Access Protocol Filtering of Communication-Based Train Control Systems with CSMA Protocol Observer-based H-infinity Control of Time-Varying Systems with Random Access Protocol Ultimately Bounded Control of Nonlinear Systems with Try-Once-Discard Protocol Finite-Horizon Consensus Control of Multi-Agent Systems with Random Access Protocol Conclusions and Future Work
Record Nr. UNINA-9910568241003321
Zou Lei  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distributed filtering, control and synchronization : local performance analysis methods / / Fei Han, Zidong Wang and Hongli Dong
Distributed filtering, control and synchronization : local performance analysis methods / / Fei Han, Zidong Wang and Hongli Dong
Autore Han Fei (Mathematician)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (231 pages) : illustrations (chiefly color)
Disciplina 629.8312
Collana Studies in systems, decision and control
Soggetto topico Control theory
Signal processing
Synchronization
ISBN 3-030-97075-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- List of Notation -- 1 Introduction -- 1.1 Research Background, Motivations and Research Problems -- 1.1.1 Distributed Filtering -- 1.1.2 Distributed Consensus Control -- 1.1.3 Bounded Synchronization and Filtering -- 1.2 Systems, Measurements, Protocols, and Cyber-Attacks -- 1.3 The Challenges -- 1.3.1 The Large-Scale Characteristic -- 1.3.2 The Dynamic Topology -- 1.3.3 The Scalability Requirement of Distributed Algorithm -- 1.4 The Local Performance Analysis Method -- 1.4.1 The Vector Dissipativity Theory -- 1.4.2 Local Performance Analysis Method -- 1.5 Outline -- References -- 2 Distributed Hinfty Filtering for Discrete-Time Piecewise Linear Systems -- 2.1 Problem Formulation -- 2.2 Main Results -- 2.3 An Illustrative Example -- 2.4 Summary -- References -- 3 Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements -- 3.1 Problem Formulation -- 3.2 Main Results -- 3.3 An Illustrative Example -- 3.4 Summary -- References -- 4 Distributed Filtering for Random Parameter System with Event-Triggering Protocols -- 4.1 Problem Formulation -- 4.2 Main Results -- 4.3 An Illustrative Example -- 4.4 Summary -- Reference -- 5 Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol -- 5.1 Problem Formulation -- 5.2 Main Results -- 5.3 An Illustrative Example -- 5.4 Summary -- References -- 6 Partial-Nodes-Based Scalable Hinfty-Consensus Filtering with Censored Measurements -- 6.1 Problem Formulation -- 6.2 Main Results -- 6.3 An Illustrative Example -- 6.4 Summary -- References -- 7 Distributed Hinfty-Consensus Filtering over Sensor Networks Under Deception Attacks -- 7.1 Problem Formulation -- 7.2 Main Results -- 7.3 An Illustrative Example -- 7.4 Summary -- References.
8 Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations -- 8.1 Problem Formulation -- 8.2 Distributed Resilient Filtering over Sensor Networks -- 8.3 Performance Analysis and Distributed Optimization -- 8.4 An Illustrative Example -- 8.5 Summary -- References -- 9 Finite-Horizon Hinfty-Consensus Control for Multi-agent Systems with Random Parameters -- 9.1 Problem Formulation -- 9.2 Analysis of Distributed Hinfty-Consensus Control Based on Local Disagreement Function -- 9.3 An Illustrative Example -- 9.4 Summary -- References -- 10 Bounded Hinfty Synchronization and Hinfty Filtering for Discrete-Time Complex Networks -- 10.1 Problem Formulation of Bounded Hinfty Synchronization -- 10.2 Bounded Hinfty Synchronization for Discrete Time-Varying Complex Networks -- 10.3 Problem Formulation of Finite-Horizon Hinfty Filtering -- 10.4 Finite-Horizon Hinfty Filtering for Complex Networks -- 10.5 Illustrative Examples -- 10.6 Summary -- References -- 11 Conclusions and Future Work -- 11.1 Conclusions -- 11.2 Future Work -- Index.
Record Nr. UNINA-9910556894303321
Han Fei (Mathematician)  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Filtering, control, and fault detection with randomly occurring incomplete information [[electronic resource] /] / Hongli Dong, Zidong Wang, Huijun Gao
Filtering, control, and fault detection with randomly occurring incomplete information [[electronic resource] /] / Hongli Dong, Zidong Wang, Huijun Gao
Autore Dong Hongli <1977->
Edizione [1st ed.]
Pubbl/distr/stampa Chichester, West Sussex, U.K., : Wiley, c2013
Descrizione fisica 1 online resource (283 p.)
Disciplina 629.83202855369
Altri autori (Persone) WangZidong <1966->
GaoHuijun
Soggetto topico Automatic control
Electric filters, Digital
Fault tolerance (Engineering)
ISBN 1-118-65097-2
1-118-65098-0
1-118-65096-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto FILTERING, CONTROL AND FAULT DETECTION WITH RANDOMLY OCCURRING INCOMPLETE INFORMATION; Contents; Preface; Acknowledgments; List of Abbreviations; List of Notations; 1 Introduction; 1.1 Background, Motivations, and Research Problems; 1.1.1 Randomly Occurring Incomplete Information; 1.1.2 The Analysis and Synthesis of Nonlinear Stochastic Systems; 1.1.3 Distributed Filtering over Sensor Networks; 1.2 Outline; 2 Variance-Constrained Finite-Horizon Filtering and Control with Saturations; 2.1 Problem Formulation for Finite-Horizon Filter Design; 2.2 Analysis of H and Covariance Performances
2.2.1 H Performance2.2.2 Variance Analysis; 2.3 Robust Finite-Horizon Filter Design; 2.4 Robust H Finite-Horizon Control with Sensor and Actuator Saturations; 2.4.1 Problem Formulation; 2.4.2 Main Results; 2.5 Illustrative Examples; 2.5.1 Example 1; 2.5.2 Example 2; 2.6 Summary; 3 Filtering and Control with Stochastic Delays and Missing Measurements; 3.1 Problem Formulation for Robust Filter Design; 3.2 Robust H Filtering Performance Analysis; 3.3 Robust H Filter Design; 3.4 Robust H Fuzzy Control; 3.4.1 Problem Formulation; 3.4.2 Performance Analysis; 3.4.3 Controller Design
3.5 Illustrative Examples3.5.1 Example 1; 3.5.2 Example 2; 3.5.3 Example 3; 3.6 Summary; 4 Filtering and Control for Systems with Repeated Scalar Nonlinearities; 4.1 Problem Formulation for Filter Design; 4.1.1 The Physical Plant; 4.1.2 The Communication Link; 4.1.3 The Filter; 4.1.4 The Filtering Error Dynamics; 4.2 Filtering Performance Analysis; 4.3 Filter Design; 4.4 Observer-Based H Control with Multiple Packet Losses; 4.4.1 Problem Formulation; 4.4.2 Main Results; 4.5 Illustrative Examples; 4.5.1 Example 1; 4.5.2 Example 2; 4.5.3 Example 3; 4.5.4 Example 4; 4.6 Summary
5 Filtering and Fault Detection for Markov Systems with Varying Nonlinearities5.1 Problem Formulation for Robust H° Filter Design; 5.2 Performance Analysis of Robust H° Filter; 5.3 Design of Robust H° Filters; 5.4 Fault Detection with Sensor Saturations and Randomly Varying Nonlinearities; 5.4.1 Problem Formulation; 5.4.2 Main Results; 5.5 Illustrative Examples; 5.5.1 Example 1; 5.5.2 Example 2; 5.5.3 Example 3; 5.5.4 Example 4; 5.6 Summary; 6 Quantized Fault Detection with Mixed Time-Delays and Packet Dropouts; 6.1 Problem Formulation for Fault Detection Filter Design; 6.2 Main Results
6.3 Fuzzy-Model-Based Robust Fault Detection6.3.1 Problem Formulation; 6.3.2 Main Results; 6.4 Illustrative Examples; 6.4.1 Example 1; 6.4.2 Example 2; 6.5 Summary; 7 Distributed Filtering over Sensor Networks with Saturations; 7.1 Problem Formulation; 7.2 Main Results; 7.3 An Illustrative Example; 7.4 Summary; 8 Distributed Filtering with Quantization Errors: The Finite-Horizon Case; 8.1 Problem Formulation; 8.2 Main Results; 8.3 An Illustrative Example; 8.4 Summary; 9 Distributed Filtering for Markov Jump Nonlinear Time-Delay Systems; 9.1 Problem Formulation
9.1.1 Deficient Statistics of Markovian Modes Transitions
Record Nr. UNINA-9910139247903321
Dong Hongli <1977->  
Chichester, West Sussex, U.K., : Wiley, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Filtering, control, and fault detection with randomly occurring incomplete information / / Hongli Dong, Zidong Wang, Huijun Gao
Filtering, control, and fault detection with randomly occurring incomplete information / / Hongli Dong, Zidong Wang, Huijun Gao
Autore Dong Hongli <1977->
Edizione [1st ed.]
Pubbl/distr/stampa Chichester, West Sussex, U.K., : Wiley, c2013
Descrizione fisica 1 online resource (283 p.)
Disciplina 629.83202855369
Altri autori (Persone) WangZidong <1966->
GaoHuijun
Soggetto topico Automatic control
Electric filters, Digital
Fault tolerance (Engineering)
ISBN 1-118-65097-2
1-118-65098-0
1-118-65096-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto FILTERING, CONTROL AND FAULT DETECTION WITH RANDOMLY OCCURRING INCOMPLETE INFORMATION; Contents; Preface; Acknowledgments; List of Abbreviations; List of Notations; 1 Introduction; 1.1 Background, Motivations, and Research Problems; 1.1.1 Randomly Occurring Incomplete Information; 1.1.2 The Analysis and Synthesis of Nonlinear Stochastic Systems; 1.1.3 Distributed Filtering over Sensor Networks; 1.2 Outline; 2 Variance-Constrained Finite-Horizon Filtering and Control with Saturations; 2.1 Problem Formulation for Finite-Horizon Filter Design; 2.2 Analysis of H and Covariance Performances
2.2.1 H Performance2.2.2 Variance Analysis; 2.3 Robust Finite-Horizon Filter Design; 2.4 Robust H Finite-Horizon Control with Sensor and Actuator Saturations; 2.4.1 Problem Formulation; 2.4.2 Main Results; 2.5 Illustrative Examples; 2.5.1 Example 1; 2.5.2 Example 2; 2.6 Summary; 3 Filtering and Control with Stochastic Delays and Missing Measurements; 3.1 Problem Formulation for Robust Filter Design; 3.2 Robust H Filtering Performance Analysis; 3.3 Robust H Filter Design; 3.4 Robust H Fuzzy Control; 3.4.1 Problem Formulation; 3.4.2 Performance Analysis; 3.4.3 Controller Design
3.5 Illustrative Examples3.5.1 Example 1; 3.5.2 Example 2; 3.5.3 Example 3; 3.6 Summary; 4 Filtering and Control for Systems with Repeated Scalar Nonlinearities; 4.1 Problem Formulation for Filter Design; 4.1.1 The Physical Plant; 4.1.2 The Communication Link; 4.1.3 The Filter; 4.1.4 The Filtering Error Dynamics; 4.2 Filtering Performance Analysis; 4.3 Filter Design; 4.4 Observer-Based H Control with Multiple Packet Losses; 4.4.1 Problem Formulation; 4.4.2 Main Results; 4.5 Illustrative Examples; 4.5.1 Example 1; 4.5.2 Example 2; 4.5.3 Example 3; 4.5.4 Example 4; 4.6 Summary
5 Filtering and Fault Detection for Markov Systems with Varying Nonlinearities5.1 Problem Formulation for Robust H° Filter Design; 5.2 Performance Analysis of Robust H° Filter; 5.3 Design of Robust H° Filters; 5.4 Fault Detection with Sensor Saturations and Randomly Varying Nonlinearities; 5.4.1 Problem Formulation; 5.4.2 Main Results; 5.5 Illustrative Examples; 5.5.1 Example 1; 5.5.2 Example 2; 5.5.3 Example 3; 5.5.4 Example 4; 5.6 Summary; 6 Quantized Fault Detection with Mixed Time-Delays and Packet Dropouts; 6.1 Problem Formulation for Fault Detection Filter Design; 6.2 Main Results
6.3 Fuzzy-Model-Based Robust Fault Detection6.3.1 Problem Formulation; 6.3.2 Main Results; 6.4 Illustrative Examples; 6.4.1 Example 1; 6.4.2 Example 2; 6.5 Summary; 7 Distributed Filtering over Sensor Networks with Saturations; 7.1 Problem Formulation; 7.2 Main Results; 7.3 An Illustrative Example; 7.4 Summary; 8 Distributed Filtering with Quantization Errors: The Finite-Horizon Case; 8.1 Problem Formulation; 8.2 Main Results; 8.3 An Illustrative Example; 8.4 Summary; 9 Distributed Filtering for Markov Jump Nonlinear Time-Delay Systems; 9.1 Problem Formulation
9.1.1 Deficient Statistics of Markovian Modes Transitions
Record Nr. UNINA-9910818728503321
Dong Hongli <1977->  
Chichester, West Sussex, U.K., : Wiley, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Variance-constrained multi-objective stochastic control and filtering / / Lifeng Ma, Zidong Wang, Yuming Bo
Variance-constrained multi-objective stochastic control and filtering / / Lifeng Ma, Zidong Wang, Yuming Bo
Autore Ma Lifeng
Pubbl/distr/stampa West Sussex, England : , : John Wiley & Sons, Inc., , 2015
Descrizione fisica 1 online resource (320 p.)
Disciplina 629.801/51923
Collana Wiley Series in Dynamics and Control of Electromechanical Systems
Soggetto topico Automatic control - Mathematics
Stochastic processes
ISBN 1-118-92946-2
1-118-92948-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: Preface vii Acknowledgements ix List of Abbreviations xi 1 Introduction 1 1.1 Analysis and Synthesis of Nonlinear Stochastic Systems 2 1.1.1 Nonlinear Systems 3 1.1.2 Stochastic Systems 4 1.2 Multi-Objective Control and Filtering with Variance Constraints 5 1.2.1 Covariance Control Theory 5 1.2.2 Multiple Performance Requirements 7 1.2.3 Design Techniques for Nonlinear Stochastic Systems with Variance Constraints 9 1.2.4 A Special Case of Multi-Objective Design: Mixed H2/H1 Control/Filtering 11 1.3 Outline 12 2 Robust H1 Control with Variance Constraints 17 2.1 Problem Formulation 18 2.2 Stability, H1 Performance and Variance Analysis 20 2.2.1 Stability, H1 Performance Analysis 21 2.2.2 Variance Analysis 23 2.3 Robust Controller Design 27 2.4 Numerical Example 30 2.5 Summary 33 3 Robust Mixed H2=H1 Filtering 41 3.1 System Description and Problem Formulation 42 3.2 Algebraic Characterizations for Robust H2=H1 Filtering 44 3.2.1 Robust H2 Filtering 44 3.2.2 Robust H1 Filtering 50 3.3 Robust H2=H1 Filter Design Techniques 51 3.4 An Illustrative Example 60 3.5 Summary 62 4 Filtering with Missing Measurements 63 4.1 Problem Formulation 64 4.2 Stability and Variance Analysis 67 4.3 Robust Filter Design 71 4.4 Numerical Example 75 4.5 Summary 78 5 Robust Fault-Tolerant Control 87 5.1 Problem Formulation 88 5.2 Stability and Variance Analysis 90 5.3 Robust Controller Design 92 5.4 Numerical Example 98 5.5 Summary 103 6 Robust H2 SMC 105 6.1 The System Model 106 6.2 Robust H2 Sliding Mode Control 107 6.2.1 Switching Surface 107 6.2.2 Performances of the Sliding Motion 108 6.2.3 Computational Algorithm 114 6.3 Sliding Mode Controller 115 6.4 Numerical Example 116 6.5 Summary 118 7 Dissipative Control with Degraded Measurements 125 7.1 Problem Formulation 126 7.2 Stability, Dissipativity and Variance Analysis 129 7.3 Observer-Based Controller Design 134 7.3.1 Solvability of Multi-Objective Control Problem 134 7.3.2 Computational Algorithm 139 7.4 Numerical Example 140 7.5 Summary 142 8 Variance-Constrained H1 Control with Multiplicative Noises 145 8.1 Problem Formulation 146 8.2 Stability, H1 Performance, Variance Analysis 147 8.2.1 Stability 148 8.2.2 H1 performance 150 8.2.3 Variance analysis 152 8.3 Robust State Feedback Controller Design 153 8.4 A Numerical Example 156 8.5 Summary 157 9 Robust Finite-Horizon H1 Control 159 9.1 Problem Formulation 160 9.2 Performance Analysis 162 9.2.1 H1 Performance 162 9.2.2 Variance Analysis 164 9.3 Robust Finite Horizon Controller Design 167 9.4 Numerical Example 171 9.5 Summary 173 10 Finite-Horizon Filtering with Degraded Measurements 177 10.1 Problem Formulation 178 10.2 Performance Analysis 181 10.2.1 H1 Performance Analysis 181 10.2.2 System Covariance Analysis 186 10.3 Robust Filter Design 187 10.4 Numerical Example 190 10.5 Summary 191 11 Mixed H2=H1 Control with Randomly Occurring Nonlinearities: the Finite-Horizon Case 197 11.1 Problem Formulation 199 11.2 H1 Performance 200 11.3 Mixed H2=H1 Controller Design 204 11.3.1 State-Feedback Controller Design 204 11.3.2 Computational Algorithm 207 11.4 Numerical Example 207 11.5 Summary 211 12 Finite-Horizon H2=H1 Control of MJSs with Sensor Failures 213 12.1 Problem Formulation 214 12.2 H1 Performance 216 12.3 Mixed H2=H1 Controller Design 220 12.3.1 Controller Design 220 12.3.2 Computational Algorithm 224 12.4 Numerical Example 224 12.5 Summary 227 13 Finite-Horizon Control with ROSF 229 13.1 Problem Formulation 230 13.2 H1 And Covariance Performances Analysis 234 13.2.1 H1 Performance 234 13.2.2 Covariance Analysis 238 13.3 Robust Finite-Horizon Controller Design 240 13.3.1 Controller Design 240 13.3.2 Computational Algorithm 243 13.4 Numerical Example 243 13.5 Summary 244 14 Finite-Horizon H2=H1 Control with Actuator Failures 247 14.1 Problem Formulation 248 14.2 H1 Performance 251 14.3 Multi-Objective Controller Design 253 14.3.1 Controller Design 253 14.3.2 Computational Algorithm 256 14.4 Numerical Example 257 14.5 Summary 259 15 Conclusions and Future Topics 261 References 263 .
Record Nr. UNINA-9910140461103321
Ma Lifeng  
West Sussex, England : , : John Wiley & Sons, Inc., , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Variance-constrained multi-objective stochastic control and filtering / / Lifeng Ma, Zidong Wang, Yuming Bo
Variance-constrained multi-objective stochastic control and filtering / / Lifeng Ma, Zidong Wang, Yuming Bo
Autore Ma Lifeng
Pubbl/distr/stampa West Sussex, England : , : John Wiley & Sons, Inc., , 2015
Descrizione fisica 1 online resource (320 p.)
Disciplina 629.801/51923
Collana Wiley Series in Dynamics and Control of Electromechanical Systems
Soggetto topico Automatic control - Mathematics
Stochastic processes
ISBN 1-118-92946-2
1-118-92948-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: Preface vii Acknowledgements ix List of Abbreviations xi 1 Introduction 1 1.1 Analysis and Synthesis of Nonlinear Stochastic Systems 2 1.1.1 Nonlinear Systems 3 1.1.2 Stochastic Systems 4 1.2 Multi-Objective Control and Filtering with Variance Constraints 5 1.2.1 Covariance Control Theory 5 1.2.2 Multiple Performance Requirements 7 1.2.3 Design Techniques for Nonlinear Stochastic Systems with Variance Constraints 9 1.2.4 A Special Case of Multi-Objective Design: Mixed H2/H1 Control/Filtering 11 1.3 Outline 12 2 Robust H1 Control with Variance Constraints 17 2.1 Problem Formulation 18 2.2 Stability, H1 Performance and Variance Analysis 20 2.2.1 Stability, H1 Performance Analysis 21 2.2.2 Variance Analysis 23 2.3 Robust Controller Design 27 2.4 Numerical Example 30 2.5 Summary 33 3 Robust Mixed H2=H1 Filtering 41 3.1 System Description and Problem Formulation 42 3.2 Algebraic Characterizations for Robust H2=H1 Filtering 44 3.2.1 Robust H2 Filtering 44 3.2.2 Robust H1 Filtering 50 3.3 Robust H2=H1 Filter Design Techniques 51 3.4 An Illustrative Example 60 3.5 Summary 62 4 Filtering with Missing Measurements 63 4.1 Problem Formulation 64 4.2 Stability and Variance Analysis 67 4.3 Robust Filter Design 71 4.4 Numerical Example 75 4.5 Summary 78 5 Robust Fault-Tolerant Control 87 5.1 Problem Formulation 88 5.2 Stability and Variance Analysis 90 5.3 Robust Controller Design 92 5.4 Numerical Example 98 5.5 Summary 103 6 Robust H2 SMC 105 6.1 The System Model 106 6.2 Robust H2 Sliding Mode Control 107 6.2.1 Switching Surface 107 6.2.2 Performances of the Sliding Motion 108 6.2.3 Computational Algorithm 114 6.3 Sliding Mode Controller 115 6.4 Numerical Example 116 6.5 Summary 118 7 Dissipative Control with Degraded Measurements 125 7.1 Problem Formulation 126 7.2 Stability, Dissipativity and Variance Analysis 129 7.3 Observer-Based Controller Design 134 7.3.1 Solvability of Multi-Objective Control Problem 134 7.3.2 Computational Algorithm 139 7.4 Numerical Example 140 7.5 Summary 142 8 Variance-Constrained H1 Control with Multiplicative Noises 145 8.1 Problem Formulation 146 8.2 Stability, H1 Performance, Variance Analysis 147 8.2.1 Stability 148 8.2.2 H1 performance 150 8.2.3 Variance analysis 152 8.3 Robust State Feedback Controller Design 153 8.4 A Numerical Example 156 8.5 Summary 157 9 Robust Finite-Horizon H1 Control 159 9.1 Problem Formulation 160 9.2 Performance Analysis 162 9.2.1 H1 Performance 162 9.2.2 Variance Analysis 164 9.3 Robust Finite Horizon Controller Design 167 9.4 Numerical Example 171 9.5 Summary 173 10 Finite-Horizon Filtering with Degraded Measurements 177 10.1 Problem Formulation 178 10.2 Performance Analysis 181 10.2.1 H1 Performance Analysis 181 10.2.2 System Covariance Analysis 186 10.3 Robust Filter Design 187 10.4 Numerical Example 190 10.5 Summary 191 11 Mixed H2=H1 Control with Randomly Occurring Nonlinearities: the Finite-Horizon Case 197 11.1 Problem Formulation 199 11.2 H1 Performance 200 11.3 Mixed H2=H1 Controller Design 204 11.3.1 State-Feedback Controller Design 204 11.3.2 Computational Algorithm 207 11.4 Numerical Example 207 11.5 Summary 211 12 Finite-Horizon H2=H1 Control of MJSs with Sensor Failures 213 12.1 Problem Formulation 214 12.2 H1 Performance 216 12.3 Mixed H2=H1 Controller Design 220 12.3.1 Controller Design 220 12.3.2 Computational Algorithm 224 12.4 Numerical Example 224 12.5 Summary 227 13 Finite-Horizon Control with ROSF 229 13.1 Problem Formulation 230 13.2 H1 And Covariance Performances Analysis 234 13.2.1 H1 Performance 234 13.2.2 Covariance Analysis 238 13.3 Robust Finite-Horizon Controller Design 240 13.3.1 Controller Design 240 13.3.2 Computational Algorithm 243 13.4 Numerical Example 243 13.5 Summary 244 14 Finite-Horizon H2=H1 Control with Actuator Failures 247 14.1 Problem Formulation 248 14.2 H1 Performance 251 14.3 Multi-Objective Controller Design 253 14.3.1 Controller Design 253 14.3.2 Computational Algorithm 256 14.4 Numerical Example 257 14.5 Summary 259 15 Conclusions and Future Topics 261 References 263 .
Record Nr. UNINA-9910822982903321
Ma Lifeng  
West Sussex, England : , : John Wiley & Sons, Inc., , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui