Name: Machine Behavior Design and Analysis: A Consensus Perspective (en Inglés)
Price: 498.98 PEN
Availability: InStock
Author: Yinyan Zhang; Shuai Li
ISBN: 9789811532306

portada Machine Behavior Design and Analysis: A Consensus Perspective (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Yinyan Zhang; Shuai Li

Año

2020

Idioma

Inglés

N° páginas

183

Encuadernación

Tapa Dura

ISBN13

9789811532306

N° edición

Categorías

Inteligencia artificial

Machine Behavior Design and Analysis: A Consensus Perspective (en Inglés)

Yinyan Zhang; Shuai Li (Autor) · Springer · Tapa Dura

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Machine Behavior Design and Analysis: A Consensus Perspective (en Inglés)"

In this book, we present our systematic investigations into consensus in multi-agent systems. We show the design and analysis of various types of consensus protocols from a multi-agent perspective with a focus on min-consensus and its variants. We also discuss second-order and high-order min-consensus. A very interesting topic regarding the link between consensus and path planning is also included. We show that a biased min-consensus protocol can lead to the path planning phenomenon, which means that the complexity of shortest path planning can emerge from a perturbed version of min-consensus protocol, which as a case study may encourage researchers in the field of distributed control to rethink the nature of complexity and the distance between control and intelligence. We also illustrate the design and analysis of consensus protocols for nonlinear multi-agent systems derived from an optimal control formulation, which do not require solving a Hamilton-Jacobi-Bellman (HJB) equation. The book was written in a self-contained format. For each consensus protocol, the performance is verified through simulative examples and analyzed via mathematical derivations, using tools like graph theory and modern control theory. The book’s goal is to provide not only theoretical contributions but also explore underlying intuitions from a methodological perspective.