Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

Name: Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems
Brand: Elsevier Science
SKU: 9780443416446
Price: 4997 CZK
Availability: InStock

Command Filtered Backstepping

Autor: Lin Zhao, Jinpeng Yu

Jazyk:

Vazba: Brožovaná

Vydavatel: Elsevier Science

Dostupnost: Skladem u dodavatele

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4 997 Kč

Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstep...

Informace o knize

Autor

Lin Zhao, Jinpeng Yu

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2026

Stránek

450

EAN

9780443416446

ISBN

0443416443

Enbook ID

48721958

Vydavatel

Elsevier Science

Hmotnost

450

Rozměry

152 x 229

Kompletní popis

Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooperative control problems for nonlinear multi-agent systems. The book is structured around six key topics, focusing on command filtered backstepping-based distributed adaptive consensus control. By combining command filtered backstepping techniques with adaptive control, fuzzy logic systems, neural networks, and other control approaches, the book investigates and proposes control schemes for the consensus control problem of nonlinear multi-agent systems. Readers will gain a comprehensive understanding of consensus control based on adaptive command filtered backstepping technology.

Provides a framework for dealing with various nonlinearities in multi-agent cooperative control problems
Proposes the corresponding intelligent adaptive control schemes to compensate for uncertainties and disturbances
Includes applications to demonstrate the advantages of cooperative adaptive command filtered backstepping control approaches

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Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

Command Filtered Backstepping

Informace o knize

Kompletní popis

Mohlo by vás zajímat

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