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A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications

• Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)
• Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes
• Covers basic theory, rigorous mathematics as well as engineering practice

This book constitutes the revised selected proceedings of Second International Symposium on Biomedical and Computational Biology, BECB 2022, held as a virtual event in August 2022.The 58 full papers included in this book were carefully reviewed and selected from 135 submissions. The papers are organized in topical sections as follows: The Charge Transfer Network Model for Arbitrary Proteins Complexes; A Self-Supervised 3D/2D Registration Method for Incomplete DSA Vessels; The Potential Role of RNA "Writer" TRMT61B in the Immune Regulation of Breast Cancer; Extraction, Composition Analysis...