System Identification for Robust Control

Zhan, Charles; Tsakalis, Konstantinos

doi:10.1109/acc.2007.4282483

Cited by 5 publications

(12 citation statements)

References 19 publications

(19 reference statements)

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“…[78] (see also below). Very interesting methodologies has been invented by the intelligent expoitation of enzyme capability in the treatment of vegetal matter [79][80][81][82][83][84][85].…”

Section: Patents Concerning the Preparation Of Glycosidesmentioning

confidence: 99%

Five Years Patenting Time Frame Concerning Enzymatic Preparation of Glycosides

Trincone

2010

BIOT

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Carbohydrates are important molecules in various technological fields. The regio- and stereoselective synthesis of oligosaccharides for food and pharmaceutical molecular design and the selective glycosylation of peptides, proteins and drugs, as well as the selective hydrolysis of natural abundant saccharidic materials affording low molecular weight high value- added products, can be all considered significant aspects. Advance in the chemical synthesis of glycosidic bond represents one of the most successful topic in organic synthetic chemistry in the last half century for the intrinsic difficulties chemists have to face dealing with carbohydrates: yields and selectivity. Biocatalytic strategies selected for high-yield and stereospecific construction of glycosidic bonds are based principally on the action of two classes of enzymes, namely glycoside hydrolases (endo- and exo-glycosidases) and glycosyltransferases although only enzymes of the second class are devoted to synthetic action in nature. Reviewing patents on the preparation of glycosides is hard to manage, here a five years time frame for this review is set, considering it a suitable compromise in terms of amount of innovation and numbers of patents to analyze. Interest of researchers for the natural sources of biocatalysts, with particular emphasis on modified enzymes and lists of the most innovative patents in cosmetic, fine chemicals and food fields will be commented. Biomolecular asset of selected patents related to glycosides will be expressly considered. Large number of enzymes will be required in future in order to realize more sustainable new enzymatic processes to answer human needs.

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Section: Patents Concerning the Preparation Of Glycosidesmentioning

confidence: 99%

Five Years Patenting Time Frame Concerning Enzymatic Preparation of Glycosides

Trincone

2010

BIOT

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“…Over the years the use of these metrics has received much attention. In particular, the ν-gap was extensively studied in the realm of system identification [17], [18], [19], model order reduction [20], [21], [22], [23], [24], [25], and robust control [26], [9].…”

Section: Introductionmentioning

confidence: 99%

Nu-gap metric a sum-of-squares and linear matrix inequality approach

Taamallah¹

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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The nu-gap metric represents a good measure of the distance between systems in a closed-loop setting. The purpose of this paper is to present a novel method to compute the nu-gap using a Semi-Definite Programming (SDP) procedure. Our approach is formulated through a three-step modus operandi: (i) first an initial central transfer function is computed through Linear Matrix Inequality (LMI) relaxations of a nonconvex problem, on the basis of matrix Sum-Of-Squares (SOS) decompositions, followed by (ii) a non-linear LMI-based refinement, and finally (iii) the actual computation of the nugap using the Kalman-Yakubovich-Popov (KYP) Lemma. We illustrate the practicality of the proposed method on numerical examples.

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“…For most of the existing identification methods, the model uncertainty is only estimated after the nominal model is obtained. In Zhan and Tsakalis (2007), we proposed a system identification method aiming to minimize the weighted NCF model uncertainty directly. The control performance requirements were explicitly considered at the identification step with the use of the weighting functions.…”

Section: Introductionmentioning

confidence: 99%

“…The control performance requirements were explicitly considered at the identification step with the use of the weighting functions. Motivated by these results, in this paper we consider an alternative robust-control-oriented system identification procedure to address issues that were unresolved in Zhan and Tsakalis (2007). These issues concerned the selection of the weighting functions and the contamination of the data by relatively large exogenous stochastic disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…These issues concerned the selection of the weighting functions and the contamination of the data by relatively large exogenous stochastic disturbances. To alleviate the problems caused by such disturbances, we use an intermediate high-order-ARX identification step (as in Zhu and Backx (1993)) and then perform a model order reduction to minimize the NCF uncertainty, using the techniques of Zhan and Tsakalis (2007). Only single input single output (SISO) systems are considered in this paper.…”

Section: Introductionmentioning

confidence: 99%

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