Distributed Filtering, Control and Synchronization Local Performance Analysis Methods /
| Hlavní autoři: | , , |
|---|---|
| Korporativní autor: | |
| Shrnutí: | XVI, 223 p. 50 illus., 49 illus. in color. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| Vydání: | 1st ed. 2022. |
| Edice: | Studies in Systems, Decision and Control,
428 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-030-97075-8 |
| Médium: | Elektronický zdroj E-kniha |
Obsah:
- Introduction
- Distributed H-infinity Filtering for Discrete-Time Piecewise Linear Systems
- Consensus Filtering with Stochastic Nonlinearities and Multiple Missing Measurements
- Distributed Filtering for Random Parameter System with Event-Triggering Protocols
- Scalable Consensus Filtering for Uncertain Systems with Round-Robin Protocol
- Partial-Nodes-Based Scalable H-infinity-Consensus Filtering with Censored Measurements
- Distributed H-infinity-Consensus Filtering over Sensor Networks under Deception Attacks
- Distributed Resilient Filtering for Time-Delayed Systems with Stochastic Perturbations
- Finite-Horizon H-infinity-Consensus Control for Multi-Agent Systems with Random Parameters
- Bounded H-infinity Synchronization and H-infinity Filtering for Discrete-Time Complex Networks.