1972
DOI: 10.1109/tac.1972.1099984
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The exact model matching of linear multivariable systems

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Cited by 94 publications
(17 citation statements)
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“…As commented earlier, if one could choose the initial state of the filter, it would be sufficient to set w(0) = x 0 , so that r(0) = 0 in equation (14). In this way the movement of the state variable would be described byẋ(t) = (A + BJ)x(t) and the ''relatively optimal'' property…”
Section: Remarkmentioning
confidence: 99%
See 1 more Smart Citation
“…As commented earlier, if one could choose the initial state of the filter, it would be sufficient to set w(0) = x 0 , so that r(0) = 0 in equation (14). In this way the movement of the state variable would be described byẋ(t) = (A + BJ)x(t) and the ''relatively optimal'' property…”
Section: Remarkmentioning
confidence: 99%
“…Given a linear system with transfer function G(s) and statespace descriptioṅ the classical model matching problem [14] consists in finding a state-space feedback …”
Section: Remarkmentioning
confidence: 99%
“…A formulation and the solution of exact model matching problem by proportional state feedback problem have been given for the first time in [14]. It is pointed out that the model matching algorithm of [14] can be applied effectively to invertible systems only [15]. Later in [15] a complete solution to the exact model matching problem is given.…”
Section: Introductionmentioning
confidence: 99%
“…It is pointed out that the model matching algorithm of [14] can be applied effectively to invertible systems only [15]. Later in [15] a complete solution to the exact model matching problem is given. Their method reduces the solution of the model matching problem to one of solving a set of linear algebraic equations.…”
Section: Introductionmentioning
confidence: 99%
“…that of synthesizing a state or output feedback control law for a given plant in order to make the impulse response matrix of the compensated system exactly equal to that of a prespecified model, has been studied for different classes of systems since the early 1970's (Wolovich, 1972;Wang and Desoer, 1972;Moore and Silverman, 1972;Wang and Davison, 1972). These early investigations were primarily concerned with problem solvability under various hypotheses.…”
Section: Introductionmentioning
confidence: 99%