1993
DOI: 10.1007/978-1-4612-2750-2
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Representation and Control of Infinite Dimensional Systems

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Cited by 448 publications
(233 citation statements)
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“…The LQR control problem is to minimize the quadratic cost J(u) over all controls u ∈ L 2 (0, ∞; U ). It is well known (see [11], [12]) that under certain assumptions, the optimal control is given by state feedback u opt = −Kz(t), where…”
Section: Problem Setting and Basicsmentioning
confidence: 99%
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“…The LQR control problem is to minimize the quadratic cost J(u) over all controls u ∈ L 2 (0, ∞; U ). It is well known (see [11], [12]) that under certain assumptions, the optimal control is given by state feedback u opt = −Kz(t), where…”
Section: Problem Setting and Basicsmentioning
confidence: 99%
“…It is shown on page 262 in [12] that for X ∈ Σ + (H) a strict solution is equivalent to a weak solution of (5.4). Although we might use the notation of the operator equation, in this paper we deal with weak solutions.…”
Section: The Bounded Linear Operator X Is Called a Weak Solution Of Tmentioning
confidence: 99%
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“…As in [7], or in [24], we can show that there exists an operator Π ∈ L(V 0 n (Ω)) satisfying Π = Π * ≥ 0 and…”
mentioning
confidence: 97%
“…For more information about null controllability and Riccati equations as well as applications to various control systems we refer to [1,2,3,4,7,8,12,13]. …”
mentioning
confidence: 99%