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Smart Structures and Systems Volume 21, Number 2, February 2018 , pages 187-194 DOI: https://doi.org/10.12989/sss.2018.21.2.187 |
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H filter design for offshore platforms via sampled-data measurements |
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Ali Kazemy
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| Abstract | ||
| This paper focuses on the H filter design problem for offshore steel jacket platforms. Its objective is to design a full-order state observer for offshore platforms in presence of unknown disturbances. To make the method more practical, it is assumed that the measured variables are available at discrete-time instants with time-varying sampling time intervals. By modelling the sampling intervals as a bounded time-varying delay, the estimation error system is expressed as a time-delay system. As a result, the addressed problem can be transformed to the problem of stability of dynamic error between the system and the state estimator. Then, based on the Lyapunov-Krasovskii Functional (LKF), a stability criterion is obtained in the form of Linear Matrix Inequalities (LMIs). According to the stability criterion, a sufficient condition on designing the state estimator gain is obtained. In the end, the proposed method is applied to an offshore platform to show its effectiveness. | ||
| Key Words | ||
| offshore platforms; H filter; sampled-data; Lyapunov–Krasovskii functional method; time-delay | ||
| Address | ||
| Ali Kazemy: Department of Electrical Engineering, Tafresh University, P. O. Box 39518-79611, Tafresh, Iran | ||