1995
DOI: 10.1016/0005-1098(94)00072-q
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Solving minimum norm problems using penalty functions and the gradient method

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Cited by 6 publications
(3 citation statements)
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“…Nevertheless, in nonsquare right-invertible systems, i.e., full-rank plants with more input than output variables, we can obtain the desirable object-originated properties by involving nonunique generalized nonsquare right inverses into the PC design (PCD) processes [4], [25], [26], [27]. Nonetheless, in such a scenario, the broadly known and unique minimum-norm right T-inverse, which satisfies the four Moore-Penrose (MP) equations, has commonly been used in the well-established worldwide scientific literature since it has been treated as the optimal one, in general [28], [29], [30], [31], [32], [33], [34], [35].…”
mentioning
confidence: 99%
“…Nevertheless, in nonsquare right-invertible systems, i.e., full-rank plants with more input than output variables, we can obtain the desirable object-originated properties by involving nonunique generalized nonsquare right inverses into the PC design (PCD) processes [4], [25], [26], [27]. Nonetheless, in such a scenario, the broadly known and unique minimum-norm right T-inverse, which satisfies the four Moore-Penrose (MP) equations, has commonly been used in the well-established worldwide scientific literature since it has been treated as the optimal one, in general [28], [29], [30], [31], [32], [33], [34], [35].…”
mentioning
confidence: 99%
“…This can sometimes be inferred from the nature of the polynomial h(x). For example, when h(x) is 46th IEEE CDC, New Orleans, USA, Dec. [12][13][14]2007 FrA06.4…”
Section: The Infimum Of a Rational Functionmentioning
confidence: 99%
“…• The minimum norm problem, which is investigated in the literature intensively, turns out to be equivalent to finding the global optimum of a polynomially constrained optimization problem [13].…”
Section: Introductionmentioning
confidence: 99%