Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
|dc.identifier.citation||Yin, Y. and Liu, F. and Shi, P. 2011. Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates. Circuits, Systems, and Signal Processing. 30 (3): pp. 609-627.|
In this paper, an observer-based finite-time continuous gain-scheduled control is designed for a class of stochastic bioreactor systems with partially known jump rates. By using gradient linearization approach, the nonlinear stochastic systems are described by a series of linear jump models at some selected working points, then based on stochastic Lyapunov-Krasovskii functional approach, a new robust stochastic finite-time stabilizable criterion is derived to ensure robust finite-time stabilization of the each jump linear system by means of linear matrix inequalities. This method is then extended to provide observer-based finite-time state feedback H8 controllers for such linear jump systems. Lastly, continuous gain-scheduled approach is employed to design observer-based continuous H8 controllers for the whole bioreactor jump systems. Simulation examples show the effectiveness and potential of the developed techniques. © 2010 Springer Science+Business Media, LLC.
|dc.title||Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates|
|dcterms.source.title||Circuits, Systems, and Signal Processing|
|curtin.department||Department of Mathematics and Statistics|
|curtin.accessStatus||Fulltext not available|
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