Iterative Learning Formation Control of Nonlinear Multi-agent Systems
Iterative Learning Formation Control of Nonlinear Multi-agent Systems
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Iterative Learning Formation Control of Nonlinear Multi-agent Systems
Overall Rating: 2.3 / 5 (average from multiple review sources, as of 7 Aug 2026)
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Based on a total of 47,264 customer reviews from independent review platforms.
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This title will be released on June 16, 2027. Pre-order now. Express Delivery available with Amazon Prime.
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A unified framework for iterative learning formation control of multi-agent systems Iterative Learning Formation Control of Nonlinear Multi-agent Systems applies iterative learning control to distributed formation problems.Written by Yang Liu, a researcher with more than 90 publications, this book integrates distributed cooperative, intelligent control, and engineering applications.The book develops ILC-based formation protocol designs for agents governed by complex nonlinear dynamics operating under significant uncertainties, with coverage on adaptive ILC protocols for randomly varying trial lengths, rigorous convergence analysis establishing conditions under which formation errors converge to zero or remain bounded, and detailed simulations demonstrating performance across application domains including spacecraft formation flying, unmanned aerial vehicle swarms, and cooperative mobile robot tasks.Readers will discover: Methods for comprehending the formation control for agents with c
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Iterative Learning Formation Control of Nonlinear Multi-agent Systems - Details
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