Name: Control of Multi-Agent Systems: Theory and Simulations with Python (en Inglés)
Price: 109740.00 CLP
Availability: InStock
Author: Nagahara, Masaaki ; Azuma, Shun-Ichi ; Ahn, Hyo-Sung
ISBN: 9783031529801

portada Control of Multi-Agent Systems: Theory and Simulations with Python (en Inglés)

Control of Multi-Agent Systems: Theory and Simulations with Python (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

226

Encuadernación

Tapa Dura

ISBN13

9783031529801

Categorías

Combinatoria y teoría de grafos
Ingeniería de control automático
Inteligencia artificial

Control of Multi-Agent Systems: Theory and Simulations with Python (en Inglés)

Hyo-Sung Ahn (Autor) · Shun-Ichi Azuma (Autor) · Masaaki Nagahara (Autor) · Springer · Tapa Dura

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Reseña del libro "Control of Multi-Agent Systems: Theory and Simulations with Python (en Inglés)"

This textbook teaches control theory for multi-agent systems. Readers will learn the basics of linear algebra and graph theory, which are then developed to describe and solve multi-agent control problems. The authors address important and fundamental problems including: - consensus control; - coverage control; - formation control; - distributed optimization; and - the viral spreading phenomenon.Students' understanding of the core theory for multi-agent control is enhanced through worked examples and programs in the popular Python language. End-of-chapter exercises are provided to help assess learning progress. Instructors who adopt the book for their courses can download a solutions manual and the figures in the book for lecture slides. Additionally, the Python programs are available for download and can be used for experiments by students in advanced undergraduate or graduate courses based on this text.The broad spectrum of applications relevant to this material includes the Internet of Things, cyber-physical systems, robot swarms, communications networks, smart grids, and truck platooning. Additionally, in the spheres of social science and public health, it applies to opinion dynamics and the spreading of viruses in social networks. Students interested in learning about such applications, or in pursuing further research in multi-agent systems from a theoretical perspective, will find much to gain from Control of Multi-agent Systems. Instructors wishing to teach the subject will also find it beneficial.