In this technical note, we provide a parametrization of all the exact pole-assignment state-feedbacks for LTI systems, when the set of poles to be assigned contains sufficient number of real eigenvalues. We also refut...
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In this technical note, we provide a parametrization of all the exact pole-assignment state-feedbacks for LTI systems, when the set of poles to be assigned contains sufficient number of real eigenvalues. We also refute a recent conjecture concerning the explicit form of all the state-feedbacks assigning a given set of poles to the closed-loop.
In this paper, a new procedure of selecting weighting matrices in linear quadratic optimal control problems (LQ-probleras) is proposed. In the LQ-problem, the quadratic weights are usually decided on trial and error t...
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In this paper, a new procedure of selecting weighting matrices in linear quadratic optimal control problems (LQ-probleras) is proposed. In the LQ-problem, the quadratic weights are usually decided on trial and error to get good responses. But using the proposed method, the quadratic weights are decided in such a way that all poles of the closed loop system are located in the desired region for good response as well as for stability. As the closed loop system constructed by this method has merits of an LQ-problem as well as a pole-assignment problem, this procedure will be useful for designing a linear feedback system
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