Emergent Behavior Detection and Task Coordination for Multiagent Systems: A Distributed Estimation and Control Approach

This book provides a unified solution to modeling, detecting, and controlling emergent behaviors and task coordination in multiagent systems. It discusses the impact of interaction dynamics, develops distributed least-squares and Kalman filtering algorithms, establishes a distributed nonlinear control framework, and designs a distributed nonlinear controller for robotic systems with nonholonomic constraints. It also addresses optimal multiagent task coordination through approximate dynamic programming and distributed gradient estimation.

Format: Hardback
Length: 235 pages
Publication date: 24 October 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the intricate realm of modeling, detection, and control of emergent behaviors and task coordination in multiagent systems. It presents a unified solution to these complex problems, encompassing distributed estimation, distributed control, and optimization of interaction topologies and dynamics. The book explores four key aspects of the technical solutions presented:
1. Impact of Interaction Dynamics on Convergence Conditions: The author discusses the influence of interaction dynamics on the convergence conditions related to interaction topologies. This discussion utilizes a novel discontinuous cooperative control algorithm, designed with updated design principles, to address this challenge.
2. Distributed Least-Squares and Kalman Filtering Algorithms: The book elaborates on distributed least-squares and Kalman filtering algorithms for agents with limited interactions. These algorithms are crucial for accurate estimation and prediction in multiagent systems, where agents exchange information intermittently.
3. Distributed Nonlinear Control Framework: The author establishes a comprehensive framework of distributed nonlinear control, encompassing a wide range of systems with nonlinear dynamics. This framework provides a foundation for developing distributed adaptive control strategies that can handle complex uncertainties and adapt to changing environments.
4. Distributed Nonlinear Controller for Task Coordination: Based on the proposed framework, the book presents a distributed nonlinear controller designed to handle task coordination in robotic systems with nonholonomic constraints. This controller is tailored to optimize the performance of the robotic system while ensuring coordination among its agents.
5. Optimal Multiagent Task Coordination: The book addresses the problem of optimal multiagent task coordination and presents solutions based on approximate dynamic programming and approximate distributed gradient estimation. These approaches enable the agents to collaboratively achieve their goals while minimizing resource consumption and maximizing overall system efficiency.

Emergent Behavior Detection and Task Coordination for Multiagent Systems is an invaluable resource for practicing engineers, researchers, and students in the fields of robotics, systems, controls, and robotics. It offers a comprehensive and up-to-date understanding of the latest techniques and methodologies for modeling, detecting, and controlling emergent behaviors and task coordination in multiagent systems. With its detailed explanations, practical examples, and extensive references, this book provides a solid foundation for advancing the state-of-the-art in this rapidly evolving field.

Weight: 553g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030868925
Edition number: 1st ed. 2022