Hybrid and Networked Dynamical Systems : Modeling, Analysis and Control (Lecture Notes in Control and Information Sciences)

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Hybrid and Networked Dynamical Systems : Modeling, Analysis and Control (Lecture Notes in Control and Information Sciences)

Postoyan, Romain (EDT)/ Frasca, Paolo (EDT)/ Panteley, Elena (EDT)

ウェブストア価格 ¥33,113（本体¥30,103）
Springer International Publishing AG（2024/03発売）
外貨定価 US$ 159.99
ポイント 301pt

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製本 Hardcover:ハードカバー版／ページ数 328 p.
商品コード 9783031495540

Full Description

Hybrid and Networked Dynamical Systems treats a class of systems that is ubiquitous in everyday life. From energy grids to fleets of robots or vehicles to social networks to biological networks, the same scenario arises: dynamical units interact locally through a connection graph to achieve a global task. The book shows how analysis and design tools can be adapted for control applications that combine the effects of network-induced interactions and hybrid dynamics with complex results.

Following a scene-setting introduction, the remaining 12 chapters of the book are divided into three parts and provide a unique opportunity to describe the big picture that is the culmination of years of recent research activity. The contributing authors expand on their ideas at greater length than is possible in an archival research paper and use in-depth examples to illustrate their theoretical work.

The widespread importance of hybrid and networked systems means that the book is of significant interest to academic researchers working in applied mathematics, control, and electrical, mechanical and chemical engineering and to their industrial counterparts.

Introduction.- Part I: Networked Systems: Control and Estimation.- 1. Contracting Infinite Gain Margin Feedback and Synchronization of Nonlinear Systems.- 2. Physics-based Output-feedback Consensus-formation Control of Networked Autonomous Vehicles.- 3. Relating the Network Graphs of State-space Representations to Granger Causality Conditions.- Part II: Hybrid Techniques.- 4. Multi-consensus Problems in Hybrid Multi-agent Systems.- 5. Observer Design for Hybrid Systems With Linear Maps and Known Jump Times.- 6. A Joint Spectral Radius for ω-Regular Language Driven Switched Linear Systems.- 7. Control of Uncertain Nonlinear Fully Linearizable Systems.- 8. Improved Synthesis of Saturating Sampled-data Control Laws for Linear Plants.- Part III: Emerging Trends and Approaches for Analysis and Design.- 9.Trends and Questions in Open Multi-Agent Systems.- 10. Layers Update of Neural Network Control via Event-triggering Mechanism.- 11. Data-driven Stabilization of Nonlinear Systems via Taylor's Expansion.- 12. Harmonic Modeling and Control.