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Iterative Learning Control for Multi-agent Systems Coordination

part of the Wiley - IEEE series

About 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

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  • Language:
  • English
  • ISBN:
  • 9781119189046
  • Binding:
  • Hardback
  • Pages:
  • 272
  • Published:
  • June 8, 2017
  • Dimensions:
  • 249x176x19 mm.
  • Weight:
  • 536 g.
Delivery: 2-4 weeks
Expected delivery: December 13, 2024

Description of 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

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