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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bidikli, B. Tatlicioglu, E. Bayrak, A. Zergeroglu, E. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Izmir Inst. of Technol., Izmir, Turkey (Tatlicioglu, E.; Bayrak, A.) || Dept. of Comput. Eng., Gebze Inst. of Technol., Gebze, Turkey (Zergeroglu, E.) || Dept. of Electr. & Electron. Eng., Celal Bayar Univ., Manisa, Turkey (Bidikli, B.) |
| Abstract | In this paper, a new robust integral of signum of error (RISE) feedback type controller is designed for a class of uncertain nonlinear systems. Unlike the previous versions of RISE feedback type controllers, the proposed controller does not require prior knowledge of upper bounds of the vector containing the uncertainties of the dynamical system plus desired system dynamics (and their derivatives) for the control gain selection. The aforementioned enhancement is made possible via the design of a time-varying compensation gain as opposed to a constant gain used in previous RISE feedback type controllers. Asymptotic stability of the error signals and the boundedness of the closed-loop system signals are ensured via Lyapunov based arguments. Numerical simulation studies are presented to illustrate the viability of the proposed method. |
| Sponsorship | IEEE Control Syst. Soc. |
| Starting Page | 3782 |
| Ending Page | 3787 |
| File Size | 172289 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467357142 |
| ISSN | 07431546 |
| e-ISBN | 9781467357173 |
| DOI | 10.1109/CDC.2013.6760466 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Robustness Upper bound Nonlinear systems Vectors Stability analysis Trajectory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Modeling and Simulation |
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