Name
Title | ||
|---|---|---|
Distributed Fault-Tolerant Control of Multiagent Systems: An Adaptive Learning Approach. |
Abstract | ||
|---|---|---|
This paper focuses on developing a distributed leader-following fault-tolerant tracking control scheme for a class of high-order nonlinear uncertain multiagent systems. Neural network-based adaptive learning algorithms are developed to learn unknown fault functions, guaranteeing the system stability and cooperative tracking even in the presence of multiple simultaneous process and actuator faults ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2904277 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Actuators,Fault tolerance,Fault tolerant systems,Heuristic algorithms,Topology,Multi-agent systems,Technological innovation | Nonlinear system,Computer science,Multi-agent system,Fault tolerance,Artificial intelligence,Artificial neural network,Adaptive learning,Machine learning,Actuator,Distributed computing | Journal |
Volume | Issue | ISSN |
31 | 2 | 2162-237X |
Citations | PageRank | References |
3 | 0.37 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohsen Khalili | 1 | 18 | 1.63 |
| Xiaodong Zhang | 2 | 10 | 0.85 |
| Yongcan Cao | 3 | 1804 | 71.52 |
| Marios Polycarpou | 4 | 2020 | 206.96 |
| thomas parisini | 5 | 52 | 3.96 |