1992
DOI: 10.1016/0167-6911(92)90005-d
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A new sufficient condition for arbitrary pole placement by real constant output feedback

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Cited by 17 publications
(19 citation statements)
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“…whenever Mll is invertible, we get (9) which is the same as the formula in the statement of the lemma. [] From (9), one easily determines the coefficient of s" in the unnormalized closed-loop characteristic polynomial:…”
Section: Lemma2 Let a System (Abc) Be Given And Write G(s) := C(smentioning
confidence: 48%
See 2 more Smart Citations
“…whenever Mll is invertible, we get (9) which is the same as the formula in the statement of the lemma. [] From (9), one easily determines the coefficient of s" in the unnormalized closed-loop characteristic polynomial:…”
Section: Lemma2 Let a System (Abc) Be Given And Write G(s) := C(smentioning
confidence: 48%
“…[] From (9), one easily determines the coefficient of s" in the unnormalized closed-loop characteristic polynomial:…”
Section: Lemma2 Let a System (Abc) Be Given And Write G(s) := C(smentioning
confidence: 99%
See 1 more Smart Citation
“…The first of the two problems naturally belongs to the intersection theory of complex algebraic varieties, whereas, the latter belongs to the intersection theory of semi-algebraic sets. Determining real intersections is not an easy problem (Leventides and Karcanias, 1992); furthermore, it is also important to be able to compute solutions whenever such solutions exist and define "approximate solutions" when exact solutions do not exist. The use of algebraic Geometry in the study of spectrum assignment problems was originally introduced in Hermann, and Martin (1975), Brockett, and Byrnes, (1981), where an affine space approach has been used.…”
Section: Introductionmentioning
confidence: 99%
“…The approach heavily relies on exterior algebra and this has implications on the computability of solutions (reconstruction of solutions whenever they exist) and introduces new sets of invariants (of a projective character) which, in turn, characterise the solvability of the problem. This approach has been further developed in Karcanias, (1995), (1998)) by the development of a "blow-up" methodology for linearization of multi-linear maps that permit the development of computations, as well as techniques for establishing the development of real solutions (Leventides and Karcanias, (1992)). The distinct advantages of the DAP approach, which is a projective space approach, are: it provides the means for computing the solutions; it can handle both generic and exact solvability investigations, and it introduces new criteria for the characterisation of solvability of different problems.…”
Section: Introductionmentioning
confidence: 99%