2003 European Control Conference (ECC) 2003
DOI: 10.23919/ecc.2003.7085047
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Vinnicombe metric as a closed-loop nonlinearity measure

Abstract: The focal point of this paper is to develop a measure of closedloop nonlinearity. In this work, the Vinnicombe metric and the quasi-linear parameter varying (quasi-LPV) representation of nonlinear systems are exploited for this purpose. The proposed measure can serve as a decision making tool for control engineers when deciding whether a linear or nonlinear control strategy should be employed to solve their control problems. A continuous stirred tank reactor (CSTR) simulation example is used to illustrate the … Show more

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Cited by 8 publications
(7 citation statements)
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References 26 publications
(28 reference statements)
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“…24 In model-based control design, it is desirable to check the adequacy of a linear model before any attempts to use a nonlinear controller are made. The Vinnicombe metric (-gap metric) has been advocated as a measure of closed-loop nonlinearity, 25 and attracted much attention particularly in robust control and system identification. 26,27 The main effort of this paper is the establishment of frame for surrogate modeling with the inspection of principal influence parameters.…”
Section: Introductionmentioning
confidence: 99%
“…24 In model-based control design, it is desirable to check the adequacy of a linear model before any attempts to use a nonlinear controller are made. The Vinnicombe metric (-gap metric) has been advocated as a measure of closed-loop nonlinearity, 25 and attracted much attention particularly in robust control and system identification. 26,27 The main effort of this paper is the establishment of frame for surrogate modeling with the inspection of principal influence parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Thus we can decide whether a linear controller is adequate for the system or a nonlinear controller is necessary according to the nonlinearity measures. In the past decades, researchers have made extensive studies on nonlinearity measures, and have proposed quite a few definitions and computational methods [1][2][3][4][5][6][7][8][9][10][11][12][13]. Most of them are defined as a distance between the nonlinear system and its best linear approximation [2][3][4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the gap metric which was recognized as being more appropriate to measure the distance between two linear systems than a norm-based metric [17][18], has been employed to quantify the nonlinearity level of industrial processes. And several definitions have been developed [13][14][15][16]. The nonlinearity measures based on the gap metric are comparatively easier and simpler to compute and apply.…”
Section: Introductionmentioning
confidence: 99%
“…Similar to induced norms is the relative error-like measure given in [3,7]. A different way to measure the distance between two systems is provided by the gap metric [8], and this metric can also be used to assess the nonlinearity of a system [9,10]. In [11] the curvature of the steady state map is introduced as a measure of nonlinearity and in [12] an extension of this approach to dynamic systems is discussed.…”
Section: Introductionmentioning
confidence: 99%