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dc.contributor.author
Costanza, Vicente
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dc.date.available
2017-07-17T21:28:43Z
dc.date.issued
2007-12
dc.identifier.citation
Costanza, Vicente; Parametric uncertainty and disturbance attenuation in the suboptimal control of a non-linear electrochemical process; John Wiley & Sons Ltd; Optimal Control Applications & Methods; 28; 3; 12-2007; 209-228
dc.identifier.issn
0143-2087
dc.identifier.uri
http://hdl.handle.net/11336/20773
dc.description.abstract
The optimal control of the hydrogen evolution reactions is attempted for the regulation and change of setpoint problems, taking into account that model parameters are uncertain and I/O signals are corrupted by noise. Bilinear approximations are constructed, and their dimension eventually increased to meet accuracy requirements with respect to the trajectories of the original plant. The current approximate model is used to evaluate the optimal feedback through integration of the Hamiltonian equations. The initial value for the costate is found by solving a state-dependent algebraic Riccati equation, and the resulting control is then suboptimal for the electrochemical process. The bilinear model allows for an optimal Kalman?Bucy filter application to reduce external noise. The filtered output is reprocessed through a non-linear observer in order to obtain a state-estimation as independent as possible from the bilinear model. Uncertainties on parameters are attenuated through an adaptive control strategy that exploits sensitivity functions in a novel fashion. The whole approach to this control problem can be applied to a fairly general class of non-linear continuous systems subject to analogous stochastic perturbations. All calculations can be handled on-line by standard ordinary differential equations integration software.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Ltd
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Non-Linear Processes
dc.subject
Optimal Control
dc.subject
Adaptive Control
dc.subject
Hydrogen Technology
dc.subject.classification
Ingeniería Química
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dc.subject.classification
Ingeniería Química
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Parametric uncertainty and disturbance attenuation in the suboptimal control of a non-linear electrochemical process
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-07-13T18:46:39Z
dc.journal.volume
28
dc.journal.number
3
dc.journal.pagination
209-228
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
Hoboken
dc.description.fil
Fil: Costanza, Vicente. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
dc.journal.title
Optimal Control Applications & Methods
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/oca.798
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