Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process

Based on the deterministic description of batch culture expressed in form of switched ordinary differential equations, we introduce a switched stochastic counterpart system with initial state difference together with uncertain switching instants and system parameters to model the process of glycerol...

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Main Authors: Yuan, J., Xie, J., Xu, Honglei, Feng, E., Xiu, Z.
Format: Journal Article
Language:English
Published: WILEY-HINDAWI 2019
Subjects:
Online Access:http://purl.org/au-research/grants/arc/DP160102819
http://hdl.handle.net/20.500.11937/90934
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author Yuan, J.
Xie, J.
Xu, Honglei
Feng, E.
Xiu, Z.
author_facet Yuan, J.
Xie, J.
Xu, Honglei
Feng, E.
Xiu, Z.
author_sort Yuan, J.
building Curtin Institutional Repository
collection Online Access
description Based on the deterministic description of batch culture expressed in form of switched ordinary differential equations, we introduce a switched stochastic counterpart system with initial state difference together with uncertain switching instants and system parameters to model the process of glycerol biodissimilation to 1,3-propanediol (1,3-PD) induced by Klebsiella pneumoniae (K. pneumoniae). Important properties of the stochastic system are discussed. Our aim is to obtain the unified switched instants and system parameters under the condition of different initial states. To do this, we will formulate a system identification problem in which these uncertain switched instants and system parameters are regarded as decision variables to be chosen such that the relative error between experimental data and computational results is minimized. Such problem governed by the stochastic system is subject to continuous state inequality constraints and box constraints. By performing a time-scaling transformation as well as introducing the constraint transcription and local smoothing approximation techniques, we convert such problem into a sequence of approximation subproblems. Considering both the difficulty of finding analytical solutions and the complex nature of these subproblems, we develop a parallelized differential evolution (DE) algorithm to solve these approximation subproblems. From an extensive simulation, we show that the obtained optimal switched instants and system parameters are satisfactory with initial state difference.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-909342023-05-01T07:33:59Z Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process Yuan, J. Xie, J. Xu, Honglei Feng, E. Xiu, Z. Science & Technology Physical Sciences Mathematics, Interdisciplinary Applications Multidisciplinary Sciences Mathematics Science & Technology - Other Topics ROBUST IDENTIFICATION EXTREMUM SEEKING CONTROL STRATEGY GLYCEROL 1,3-PROPANEDIOL BIOCONVERSION FERMENTATION STABILITY EVOLUTION TRANSPORT Based on the deterministic description of batch culture expressed in form of switched ordinary differential equations, we introduce a switched stochastic counterpart system with initial state difference together with uncertain switching instants and system parameters to model the process of glycerol biodissimilation to 1,3-propanediol (1,3-PD) induced by Klebsiella pneumoniae (K. pneumoniae). Important properties of the stochastic system are discussed. Our aim is to obtain the unified switched instants and system parameters under the condition of different initial states. To do this, we will formulate a system identification problem in which these uncertain switched instants and system parameters are regarded as decision variables to be chosen such that the relative error between experimental data and computational results is minimized. Such problem governed by the stochastic system is subject to continuous state inequality constraints and box constraints. By performing a time-scaling transformation as well as introducing the constraint transcription and local smoothing approximation techniques, we convert such problem into a sequence of approximation subproblems. Considering both the difficulty of finding analytical solutions and the complex nature of these subproblems, we develop a parallelized differential evolution (DE) algorithm to solve these approximation subproblems. From an extensive simulation, we show that the obtained optimal switched instants and system parameters are satisfactory with initial state difference. 2019 Journal Article http://hdl.handle.net/20.500.11937/90934 10.1155/2019/4979580 English http://purl.org/au-research/grants/arc/DP160102819 http://creativecommons.org/licenses/by/4.0/ WILEY-HINDAWI fulltext
spellingShingle Science & Technology
Physical Sciences
Mathematics, Interdisciplinary Applications
Multidisciplinary Sciences
Mathematics
Science & Technology - Other Topics
ROBUST IDENTIFICATION
EXTREMUM SEEKING
CONTROL STRATEGY
GLYCEROL
1,3-PROPANEDIOL
BIOCONVERSION
FERMENTATION
STABILITY
EVOLUTION
TRANSPORT
Yuan, J.
Xie, J.
Xu, Honglei
Feng, E.
Xiu, Z.
Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process
title Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process
title_full Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process
title_fullStr Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process
title_full_unstemmed Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process
title_short Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process
title_sort optimization for nonlinear uncertain switched stochastic systems with initial state difference in batch culture process
topic Science & Technology
Physical Sciences
Mathematics, Interdisciplinary Applications
Multidisciplinary Sciences
Mathematics
Science & Technology - Other Topics
ROBUST IDENTIFICATION
EXTREMUM SEEKING
CONTROL STRATEGY
GLYCEROL
1,3-PROPANEDIOL
BIOCONVERSION
FERMENTATION
STABILITY
EVOLUTION
TRANSPORT
url http://purl.org/au-research/grants/arc/DP160102819
http://hdl.handle.net/20.500.11937/90934