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| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Ning Feng, Jian |
| Copyright Year | 2015 |
| Abstract | Based on an improved $$H_\infty $$ performance index, the method of designing a reliable adaptive $$H_\infty $$ controller with quantized state is addressed for the time-varying delayed system in this paper. On the basis of online estimates of actuator faults, the controller parameters are updated automatically to compensate the influence of actuator faults on the system while the desired improved $$H_\infty $$ performance is preserved. A Lyapunov function candidate is constructed to prove that the closed-loop system is asymptotically stable. And the existing sufficient conditions of the controller are proved to be less conservative. The gains of the controller and the parameters of the adaptive law are co-designed and obtained in terms of solutions to a set of linear matrix inequalities. Finally, two numerical examples are given to illustrate that the proposed method is more effective than the previous methods for time-varying delayed systems. |
| Starting Page | 851 |
| Ending Page | 874 |
| Page Count | 24 |
| File Format | |
| ISSN | 0278081X |
| Journal | Circuits, Systems, and Signal Processing |
| Volume Number | 35 |
| Issue Number | 3 |
| e-ISSN | 15315878 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-06-24 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Adaptive adjustment $$H_\infty $$ performance Reliable control Quantized state feedback Time-varying delay Circuits and Systems Electrical Engineering Signal, Image and Speech Processing Electronics and Microelectronics, Instrumentation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing |
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