Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates

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...

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Main Authors: Yin, YanYan, Liu, F., Shi, P.
Format: Journal Article
Published: Birkhauser 2011
Online Access:http://hdl.handle.net/20.500.11937/52422
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author Yin, YanYan
Liu, F.
Shi, P.
author_facet Yin, YanYan
Liu, F.
Shi, P.
author_sort Yin, YanYan
building Curtin Institutional Repository
collection Online Access
description 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.
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spelling curtin-20.500.11937-524222017-09-13T15:38:43Z Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates Yin, YanYan Liu, F. Shi, P. 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. 2011 Journal Article http://hdl.handle.net/20.500.11937/52422 10.1007/s00034-010-9236-y Birkhauser restricted
spellingShingle Yin, YanYan
Liu, F.
Shi, P.
Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
title Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
title_full Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
title_fullStr Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
title_full_unstemmed Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
title_short Finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
title_sort finite-time gain-scheduled control on stochastic bioreactor systems with partially known transition jump rates
url http://hdl.handle.net/20.500.11937/52422