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| Content Provider | Springer Nature Link |
|---|---|
| Author | Jin, Xiao Zheng Yang, Guang Hong |
| Copyright Year | 2009 |
| Abstract | In this paper, direct adaptive-state feedback control schemes are developed to solve the robust tracking and model matching control problem for a class of distributed large scale systems with actuator faults, faulty and perturbed interconnection links, and external disturbances. The adaptation laws are proposed to update the controller parameters on-line when all the eventual faults, the upper bounds of perturbations and disturbances are assumed to be unknown. Then a class of distributed state feedback controllers is constructed to automatically compensate the fault, perturbation and disturbance effects based on the information from adaptive schemes. The proposed distributed adaptive tracking controller can ensure that the resulting adaptive closed-loop large-scale system is stable and the tracking error decreases asymptotically to zero in the presence of uncertain faults of actuators and interconnections, perturbations in interconnection channels, and disturbances. The proposed adaptive design technique is finally evaluated in the light of a simulation example. |
| Starting Page | 702 |
| Ending Page | 710 |
| Page Count | 9 |
| File Format | |
| ISSN | 15986446 |
| Journal | International Journal of Control, Automation and Systems |
| Volume Number | 7 |
| Issue Number | 5 |
| e-ISSN | 20054092 |
| Language | English |
| Publisher | Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers |
| Publisher Date | 2009-10-08 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Adaptive control distributed control systems fault-tolerant control robust tracking control state feedback Control Robotics Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications |
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