| Description |
1 online resource (268 pages) |
| Contents |
Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgements; Symbols; 1: Introduction; 1.1 Discrete-Time Stochastic Systems; 1.2 Network-Enhanced Complexities; 1.3 Performance Analysis and Engineering Design Synthesis; 1.4 Outline; 2: Finite-Horizon H∞ Control with Randomly Occurring Nonlinearities and Fading Measurements; 2.1 Modeling and Problem Formulation; 2.2 H∞ Performance Analysis; 2.3 H∞ Controller Design; 2.4 Simulation Examples; 2.5 Summary; 3: Finite-Horizon H∞ Consensus Control for Multi-Agent Systems with Missing Measurements |
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3.1 Modeling and Problem Formulation3.2 Consensus Performance Analysis; 3.3 H∞ Controller Design; 3.4 Simulation Examples; 3.5 Summary; 4: Finite-Horizon Distributed H∞ State Estimation with Stochastic Parameters through Sensor Networks; 4.1 Modeling and Problem Formulation; 4.2 H∞ Performance Analysis; 4.3 Distributed Filter Design; 4.4 Simulation Examples; 4.5 Summary; 5: Finite-Horizon Dissipative Control for State-Saturated Discrete Time-Varying Systems with Missing Measurements; 5.1 Modeling and Problem Formulation; 5.2 Dissipative Control for Full State Saturation Case |
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5.3 Dissipative Control for Partial State Saturation Case5.4 Simulation Examples; 5.5 Summary; 6: Finite-Horizon H∞ Filtering for State-Saturated Discrete Time-Varying Systems with Packet Dropouts; 6.1 Modeling and Problem Formulation; 6.2 H∞ Filtering for Full State Saturation Case; 6.3 H∞ Filtering for Partial State Saturation Case; 6.4 Simulation Examples; 6.5 Summary; 7: Finite-Horizon Envelope-Constrained H∞ Filtering with Fading Measurements; 7.1 Modeling and Problem Formulation; 7.2 H∞ Performance Analysis; 7.3 Envelope Constraint Analysis; 7.4 Envelope-Constrained H∞ Filter Design |
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7.5 Simulation Examples7.6 Summary; 8: Distributed Filtering under Uniform Quantizations and Deception Attacks through Sensor Networks; 8.1 Modeling and Problem Formulation; 8.2 Distributed Filter Design; 8.3 Boundedness Analysis; 8.4 Simulation Examples; 8.5 Summary; 9: Event-Triggered Distributed H∞ State Estimation with Packet Dropouts through Sensor Networks; 9.1 Modeling and Problem Formulation; 9.2 H∞ Performance Analysis; 9.3 H∞ Estimator Design; 9.4 Simulation Examples; 9.5 Summary |
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10: Event-Triggered Consensus Control for Multi-Agent Systems in the Framework of Input-to-State Stability in Probability10.1 Modeling and Problem Formulation; 10.2 Analysis of Input-to-State Stability in Probability; 10.3 Event-Triggered Consensus Control for Multi-Agent Systems; 10.4 Simulation Examples; 10.5 Summary; 11: Event-Triggered Security Control for Discrete-Time Stochastic Systems Subject to Cyber-Attacks; 11.1 Problem Formulation; 11.2 Security Performance Analysis; 11.3 Security Controller Design; 11.4 Simulation Examples; 11.5 Summary |
| Notes |
12: Event-Triggered Consensus Control for Multi-Agent Systems Subject to Cyber-Attacks in the Framework of Observers |
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Print version record |
| Form |
Electronic book
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| Author |
Wang, Zidong
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Wei, Guoliang
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| ISBN |
9780429880032 |
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0429880030 |
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