Optimal plant friendly input design for system identification / Sridharakumar Narasimhan in Industrial & engineering chemistry research, Vol. 50 N° 23 (Décembre 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 23 (Décembre 2011) . - pp. 13045-13055 Titre : Optimal plant friendly input design for system identification Type de document : texte imprimé Auteurs : Sridharakumar Narasimhan, Auteur ; S. Arun Srikanth, Auteur ; J. V. N. Sreeram, Auteur Année de publication : 2012 Article en page(s) : pp. 13045-13055 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : System identification Design Résumé : The primary objective in solving optimal input design problems is to obtain maximally informative inputs to be used as perturbation signals in system identification experiments. In plant-fiiendly identification, the designer has to respect constraints on experiment time, input and output amplitudes or input move sizes. This work focuses on plant friendly input design with constraints on input move size and output power. We present a convex relaxation to the problem of designing an informative input subject to input move size and output power constraints. The problem is finitely parametrized using ideas from Tchebycheff systems and reformulated as a SemiDefinite Progamme. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25267462 [article] Optimal plant friendly input design for system identification [texte imprimé] / Sridharakumar Narasimhan, Auteur ; S. Arun Srikanth, Auteur ; J. V. N. Sreeram, Auteur . - 2012 . - pp. 13045-13055. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 23 (Décembre 2011) . - pp. 13045-13055 Mots-clés : System identification Design Résumé : The primary objective in solving optimal input design problems is to obtain maximally informative inputs to be used as perturbation signals in system identification experiments. In plant-fiiendly identification, the designer has to respect constraints on experiment time, input and output amplitudes or input move sizes. This work focuses on plant friendly input design with constraints on input move size and output power. We present a convex relaxation to the problem of designing an informative input subject to input move size and output power constraints. The problem is finitely parametrized using ideas from Tchebycheff systems and reformulated as a SemiDefinite Progamme. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25267462

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Sensor network design for optimal process operation based on data reconciliation / M. Nabil in Industrial & engineering chemistry research, Vol. 51 N° 19 (Mai 2012)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 51 N° 19 (Mai 2012) . - pp. 6789-6797 Titre : Sensor network design for optimal process operation based on data reconciliation Type de document : texte imprimé Auteurs : M. Nabil, Auteur ; Sridharakumar Narasimhan, Auteur Année de publication : 2012 Article en page(s) : pp. 6789-6797 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Data reconciliation Design Résumé : The fundamental problem in optimal sensor network design is choosing a set of important or strategic process variables to be measured. An optimization formulation for sensor network design that relates process economics and data reconciliation is proposed. To address this, an economic quantity is defined to quantify the loss of operational profit caused due to measurement uncertainty. The resulting analytical expression that quantifies the loss is shown to be the sum of weighted error variances of the reconciled estimates obtained from reconciliation. The final formulation is a mixed integer cone program that can be solved to obtain a globally optimal sensor network The effect of the process economics, capital cost, and marginal utility of additional sensors is illustrated using case studies. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25900233 [article] Sensor network design for optimal process operation based on data reconciliation [texte imprimé] / M. Nabil, Auteur ; Sridharakumar Narasimhan, Auteur . - 2012 . - pp. 6789-6797. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 19 (Mai 2012) . - pp. 6789-6797 Mots-clés : Data reconciliation Design Résumé : The fundamental problem in optimal sensor network design is choosing a set of important or strategic process variables to be measured. An optimization formulation for sensor network design that relates process economics and data reconciliation is proposed. To address this, an economic quantity is defined to quantify the loss of operational profit caused due to measurement uncertainty. The resulting analytical expression that quantifies the loss is shown to be the sum of weighted error variances of the reconciled estimates obtained from reconciliation. The final formulation is a mixed integer cone program that can be solved to obtain a globally optimal sensor network The effect of the process economics, capital cost, and marginal utility of additional sensors is illustrated using case studies. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25900233

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