Cooperative Control of Multi-agent Systems : Distributed-Observer and Distributed-Internal-Model Approaches / by He Cai, Youfeng Su, Jie Huang

By:

Cai, He [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advances in Industrial ControlPublisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXVI, 383 p. 91 illus., 69 illus. in color.)ISBN:

9783030983772

Subject(s):

Additional physical formats: 9783030983765 | 9783030983789 | 9783030983796 | Erscheint auch als: 9783030983765 Druck-Ausgabe | Erscheint auch als: 9783030983789 Druck-Ausgabe | Erscheint auch als: 9783030983796 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-98377-2Online resources:

Summary: 1. Introduction -- 2. Preliminaries -- 3. Two Consensus Problems -- 4. The Distributed Observer Approach -- 5. Leader-Following Consensus of Multiple Euler–Lagrange Systems -- 6. Leader-Following Consensus of Multiple Rigid Body Systems -- 7. Output Regulation -- 8. Cooperative Output Regulation of Linear Multi-agent Systems by Feedforward Design -- 9. Cooperative Robust Output Regulation of Linear Multi-agent Systems -- 10. Cooperative Robust Output Regulation of Nonlinear Multi-agent Systems -- 11. Cooperative Robust Output Regulation of Nonlinear Multi-agent Systems over Switching Graphs.Summary: The main focus of this book is a pair of cooperative control problems: consensus and cooperative output regulation. Its emphasis is on complex multi-agent systems characterized by strong nonlinearity, large uncertainty, heterogeneity, external disturbances and jointly connected switching communication topologies. The cooperative output regulation problem is a generalization of the classical output regulation problem to multi-agent systems and it offers a general framework for handling a variety of cooperative control problems such as consensus, formation, tracking and disturbance rejection. The book strikes a balance between rigorous mathematical proof and engineering practicality. Every design method is systematically presented together with illustrative examples and all the designs are validated by computer simulation. The methods presented are applied to several practical problems, among them the leader-following consensus problem of multiple Euler–Lagrange systems, attitude synchronization of multiple rigid-body systems, and power regulation of microgrids. The book gives a detailed exposition of two approaches to the design of distributed control laws for complex multi-agent systems—the distributed-observer and distributed-internal-model approaches. Mastering both will enhance a reader’s ability to deal with a variety of complex real-world problems. Cooperative Control of Multi-agent Systems can be used as a textbook for graduate students in engineering, sciences, and mathematics, and can also serve as a reference book for practitioners and theorists in both industry and academia. Some knowledge of the fundamentals of linear algebra, calculus, and linear systems are needed to gain maximum benefit from this book. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.PPN: PPN: 1806103966Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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