Stochastic Sliding Mode Control for Parametric Uncertain Systems Using Functional Observer
| Autor: | Satnesh Singh, Sivaramakrishnan Janardhanan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Observer (quantum physics) Computer science Stability (learning theory) 02 engineering and technology Sliding mode control Disc theorem Gershgorin circle theorem 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Symmetric matrix 020201 artificial intelligence & image processing Electrical and Electronic Engineering Robust control Parametric statistics |
| Zdroj: | IEEE Transactions on Circuits and Systems II: Express Briefs. 66:1346-1350 |
| ISSN: | 1558-3791 1549-7747 |
| DOI: | 10.1109/tcsii.2018.2878973 |
| Popis: | This brief addresses the problem of sliding mode control (SMC) design using functional observer (FO) for discrete-time stochastic systems with norm-bounded parametric uncertainty in the system matrix. SMC is a most powerful, robust control technique to stabilize discrete-time systems. However, the application of SMC becomes difficult when the system states are not accessible for feedback. Hence the proposed method uses FO-based approach for estimating SMC design. To mitigate the side effect of the parameter uncertainty on the estimation error, a sufficient condition of stability is provided based on Gershgorin disc theorem. The feasibility and effectiveness of our derived results are illustrated through a simulation example. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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