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Stochastic Sliding Mode Control for Parametric Uncertain Systems Using Functional Observer

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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… Click to show full abstract

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.

Keywords: sliding mode; control; functional observer; using functional; stochastic sliding; mode control

Journal Title: IEEE Transactions on Circuits and Systems II: Express Briefs
Year Published: 2019

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