Control of Coupled Partial Differential Equations by Karl Kunisch, Günter Leugering, Jürgen Sprekels, Fredi

By Karl Kunisch, Günter Leugering, Jürgen Sprekels, Fredi Tröltzsch

This quantity includes chosen contributions originating from the ‘Conference on optimum keep an eye on of Coupled platforms of Partial Differential Equations’, held on the ‘Mathematisches Forschungsinstitut Oberwolfach’ in April 2005. With their articles, prime scientists disguise a vast diversity of issues corresponding to controllability, feedback-control, optimality platforms, model-reduction options, research and optimum keep an eye on of circulate difficulties, and fluid-structure interactions, in addition to difficulties of form and topology optimization. purposes tormented by those findings are disbursed over all time and size scales beginning with optimization and keep an eye on of quantum mechanical platforms, the layout of piezoelectric acoustic micro-mechanical units, or optimum regulate of crystal development to the keep watch over of our bodies immersed right into a fluid, airfoil layout, and lots more and plenty extra. The publication addresses complex scholars and researchers in optimization and keep an eye on of endless dimensional structures, in most cases represented through partial differential equations. Readers both in idea or in numerical simulation of such structures will locate this booklet both beautiful.

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Extra resources for Control of Coupled Partial Differential Equations (International Series of Numerical Mathematics)

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4). 2. Case d = 2: W The two-dimensional case, d = 2, is, as expected, more regular. Here, various functional settings are possible. 1. 6). The corresponding Riccati-based feedback operator will accordingly be ‘high-gain’ (topologically). 2 this time. 1). C. , with pointwise tangential control u. e. 4) ⎩ 1 boundary Γ ≡ ∂Ω. 1), in of Eqn. 1c), exponentially stabilizes in W ˜ -vicinity of its equilibrium solution ye . 6) ˜ -distance from ye is less than ρ > 0. 2. 5] Let d = 2. 6) be sufficiently small.

21)]. 2). 3. Let d = 2. 1d)). 6) be sufficiently small. 10), ˜ ≡ (H 12 − 0 (Ω))2 ∩H. 1. 3, that the Oseen operator A, restricted over the unstable subspace associated with the unstable eigenvalues {λ1 , . . 16) be diagonalizable on such finitedimensional unstable subspace. 15). 3. 1] obtained for a 2-d N-S flow. 1] all 1 use the topological level (H 2 − 0 (Ω))2 for the claimed local stabilization result, and 34 V. Barbu, I. Lasiecka and R. 1]). 1] relies, ultimately, on Carleman estimates, while ours does not.

2. 1]. 1. 10)) that is responsible for extra regularity of the linearized dynamics. 7)). 3. 6], we introduce the following Finite-Dimensional Spectral Assumption. FDSA: We assume that for each of the distinct unstable eigenvalues λ1 , . . 16), algebraic and geometric multiplicity coincide. Denote by the same symbol H the complexification of the original space H. 1) onto u : H −→ ZN onto u ∗ ) : H −→ (ZN Stabilization Strategies of the Navier-Stokes Equations 25 where C (respect. C) is a simple, closed curve surrounding {λi }M respect.

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