| Description |
1 online resource (307 p.) |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Author Biographies -- Acknowledgements -- Symbols -- List of Acronyms -- 1. Introduction -- 1.1. Background -- 1.2. Recent Advances -- 1.2.1. Nonuniform Sampling -- 1.2.2. Stochastic Sampling -- 1.2.3. Event-Triggered Sampling -- 1.2.4. Dynamic Event-Triggered Sampling -- 1.3. Outline -- 2. Stabilization and Control under Noisy Sampling Intervals -- 2.1. Stabilization with Single Input -- 2.1.1. Problem Formulation -- 2.1.2. Main Results |
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2.2. Quantized/Saturated Control with Multiple Inputs -- 2.2.1. Problem Formulation -- 2.2.2. Main Results -- 2.3. Illustrative Examples -- 2.3.1. Example 1 -- 2.3.2. Example 2 -- 2.4. Summary -- 3. Distributed State Estimation with Nonuniform Samplings -- 3.1. Problem Formulation -- 3.2. Main Results -- 3.3. An Illustrative Example -- 3.4. Summary -- 4. Event-Triggered Control for Switched Systems -- 4.1. Event-Triggered Control: The Input-to-State Stability -- 4.1.1. Problem Formulation -- 4.1.2. Main Results -- 4.2. Event-Triggered Pinning Synchronization Control -- 4.2.1. Problem Formulation |
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4.2.2. Main Results -- 4.3. Illustrative Examples -- 4.3.1. Example 1 -- 4.3.2. Example 2 -- 4.4. Summary -- 5. Event-Triggered H∞ State Estimation for State-Saturated Systems -- 5.1. Distributed Event-Triggered H∞ State Estimation in Sensor Networks -- 5.1.1. Problem Formulation -- 5.1.2. Main Results -- 5.2. Event-Triggered H∞ State Estimation in Complex Networks -- 5.2.1. Problem Formulation -- 5.2.2. Main Results -- 5.3. Illustrative Examples -- 5.3.1. Example 1 -- 5.3.2. Example 2 -- 5.4. Summary -- 6. Event-Triggered State Estimation for Discrete-Time Neural Networks |
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6.1. Event-Triggered State Estimation with Stochastic Parameters -- 6.1.1. Problem Formulation -- 6.1.2. Main Results -- 6.2. Event-Triggered H∞ State Estimation in Genetic Regulatory Networks -- 6.2.1. Problem Formulation -- 6.2.2. Main Results -- 6.3. Illustrative Examples -- 6.3.1. Example 1 -- 6.3.2. Example 2 -- 6.4. Summary -- 7. Event-Triggered Fusion Estimation for Multi-Rate Systems -- 7.1. Event-Triggered Fusion Estimation with Coloured Measurement Noises -- 7.1.1. Problem Formulation -- 7.1.2. Design of Local Filters -- 7.1.3. Fusion Estimation |
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7.2. Event-Triggered Fusion Estimation with Sensor Degradations -- 7.2.1. Problem Formulation -- 7.2.2. Design of Local Filters -- 7.2.3. Fusion Estimation -- 7.3. Illustrative Examples -- 7.3.1. Example 1 -- 7.3.2. Example 2 -- 7.4. Summary -- 8. Synchronization Control under Dynamic Event-Triggered Mechanisms -- 8.1. Problem Formulation -- 8.2. Main Results -- 8.3. Illustrative Examples -- 8.3.1. Demonstrations of Results -- 8.3.2. Comparisons of Results -- 8.4. Summary -- 9. Filtering or Estimation under Dynamic Event-Triggered Mechanisms |
| Notes |
Description based upon print version of record |
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9.1. Dynamic Event-Triggered Robust Filtering with Censored Measurements |
| Subject |
Adaptive control systems
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Sensor networks
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Neural networks (Computer science)
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| Form |
Electronic book
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| Author |
Wang, Zidong
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Li, Qi
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| ISBN |
9781000635478 |
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1000635473 |
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