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| Content Provider | IET Digital Library |
|---|---|
| Author | Meng, Deyuan Jia, Yingmin Du, Junping |
| Abstract | This study aims to develop an iterative learning control (ILC) approach to solving finite-time output consensus problems of multi-agent systems. The communication topologies among agents are considered to dynamically change in two directions (along both time axis and iteration axis), for which a framework is presented to construct effective distributed protocols. It is shown that a protocol can be derived through ILC to enable multi-agent systems to accomplish the finite-time consensus, which moreover can possess an exponentially fast convergence speed. In particular, for any desired terminal output that is available to not all of but only a portion of agents, multi-agent systems can be guaranteed to achieve the finite-time consensus at the desired terminal output. Simulation tests are given to demonstrate the performance and effectiveness of the obtained consensus results. |
| Starting Page | 261 |
| Ending Page | 270 |
| Page Count | 10 |
| ISSN | 17518644 |
| Volume Number | 7 |
| e-ISSN | 17518652 |
| Issue Number | Issue 2, Jan (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/7/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2012.0812 |
| Journal | IET Control Theory & Applications |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Communication Topology Effective Distributed Protocols Exponentially Fast Convergence Speed Finite-time Output Consensus Problem ILC Approach Interpolation And Function Approximation Iteration Axis Iterative Method Learning System Multi-agent Iterative Learning Control Multi-agent System Numerical Analysis Self Adjusting Control System Time Axis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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