Iterative Learning Control for Multi-agent Systems Coordination

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

Keywords: iterative learning control; multi-agent systems; multi-agent coordination; network theory and intelligent control; power grid; communication and sensor networks; intelligent transportation system; formation control; algorithms; tracking control; robot arm manipulators; chemical batch processes; reliability testing rigs, Intelligent Systems & Agents, Robotics, Intelligent Systems & Agents, Robotics