Iterative Learning Control for Multi-agent Systems Coordination
Nonfiction, Science & Nature, Technology, Robotics
| Author: | Shiping Yang, Jian-Xin Xu, Xuefang Li, Dong Shen | ISBN: | 9781119189077 |
| Publisher: | Wiley | Publication: | March 8, 2017 |
| Imprint: | Wiley-IEEE Press | Language: | English |
| Author: | Shiping Yang, Jian-Xin Xu, Xuefang Li, Dong Shen |
| ISBN: | 9781119189077 |
| Publisher: | Wiley |
| Publication: | March 8, 2017 |
| Imprint: | Wiley-IEEE Press |
| Language: | English |
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
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
