1979
DOI: 10.1109/tsmc.1979.4310211
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State-Space Methods for Control Systems

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Cited by 9 publications
(4 citation statements)
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“…The LQR (Linear system -Quadratic criterionRegulator) problem This optimization paradigm was formulated by the general, quadratic criterion [7], [8] ( ) ( So this example shows that only a faster pole can be placed by the LQR optimization comparing to the original process pole.…”
Section: Irregularities In Classical Control Methodsmentioning
confidence: 99%
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“…The LQR (Linear system -Quadratic criterionRegulator) problem This optimization paradigm was formulated by the general, quadratic criterion [7], [8] ( ) ( So this example shows that only a faster pole can be placed by the LQR optimization comparing to the original process pole.…”
Section: Irregularities In Classical Control Methodsmentioning
confidence: 99%
“…The LQR problem has an almost forgotten frequency domain solution, too, which will give us a deterministic design process to find useful relationships between the classical pole placement SF solution and the LQR paradigm. It can be shown that the simpler dyadic factorization [7] W x = g g T ;…”
Section: The Frequency Domain Solution Of the Lqr Problemmentioning
confidence: 99%
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“…This term corresponds to the nominal control minimizing the Hamiltonian. 19 The last two terms present the feedback drive with the strengths given by:…”
Section: Equation Of Motion Of a Robot Modelmentioning
confidence: 99%