2008
DOI: 10.3166/jesa.42.211-232
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An introduction to algebraic discrete-time linear parametric identification with a concrete application

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Cited by 8 publications
(5 citation statements)
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“…It is thus not possible to use such techniques, since they are, and must include, regularization developments, such as wave number filtering [8], modal truncation [19], regularization techniques [10] which require the adjustment of regularization parameters. To estimate derivatives, some approaches present a natural regularizing aspect using an integral formulation for boundary characterization [20][21] [22][23], using polynomial approximation for damage detection [24], via operational calculus allowing algebraic derivative [23][25] [26] or based on a least square approximation [27] [28]. This kind of differentiation by integration methods allows an accurate and robust estimation of the derivative.…”
Section: Introductionmentioning
confidence: 99%
“…It is thus not possible to use such techniques, since they are, and must include, regularization developments, such as wave number filtering [8], modal truncation [19], regularization techniques [10] which require the adjustment of regularization parameters. To estimate derivatives, some approaches present a natural regularizing aspect using an integral formulation for boundary characterization [20][21] [22][23], using polynomial approximation for damage detection [24], via operational calculus allowing algebraic derivative [23][25] [26] or based on a least square approximation [27] [28]. This kind of differentiation by integration methods allows an accurate and robust estimation of the derivative.…”
Section: Introductionmentioning
confidence: 99%
“…Then, the WMR can be represented as a switching system. Afterwards, considering that the position and the orientation of the robot, (x, y, θ), and the input torques are measured, an identification scheme for the tire/road contact condition is built using algebraic numerical differentiation, which is a convenient method to estimate the time derivatives of some noisy measurements [1], [9], [10], [14], [17]. In practice, some of the parameters in the WMR model may vary because of exogenous and unknown effects, such as loading or unloading of the mobile robot, irregularity of the road surface, coefficients of the tire materials etc.…”
Section: Introductionmentioning
confidence: 99%
“…Proposition 4.1 System (10) is quadratically equivalent to (11), modulo an output injection if and only if there exists (Φ [2][2][1] (y),τ [0] and Φ [2] n , β [2] n , α…”
Section: Observability Normal Formmentioning
confidence: 99%
“…Since the last decade the concept of normal form in control theory was introduced by W. Kang and A. Krener in [21] and [22], (see also [11] for an algebraic point of view). On this basis the appearance of bifurcations under lost of controllability was studied [2,15,17,20,23,39].…”
Section: Introductionmentioning
confidence: 99%