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arxiv: 1405.1516 · v1 · pith:2EQ7VXIYnew · submitted 2014-05-07 · 🧮 math.OC

A unified method for optimal arbitrary pole placement

classification 🧮 math.OC
keywords desiredfeedbackplacementpolealgorithmmatrixmethodobtain
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We consider the classic problem of pole placement by state feedback. We offer an eigenstructure assignment algorithm to obtain a novel parametric form for the pole-placing feedback matrix that can deliver any set of desired closed-loop eigenvalues, with any desired multiplicities. This parametric formula is then exploited to introduce an unconstrained nonlinear optimisation algorithm to obtain a feedback matrix that delivers the desired pole placement with optimal robustness and minimum gain. Lastly we compare the performance of our method against several others from the recent literature.

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