<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Inverse Problems in Multiobjective Dynamic Optimization</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">A. B.</mods:namePart><mods:namePart type="family">Kurzhanski</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>One of the “practical” problems of control theory motivated primarily by environmental studies consists, loosely speaking, in the following.&#13;
x.=f(t,x,ω),τ⩽t⩽θ&#13;
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with “input variables” x (τ) = x 0; ω(•) = ω(θ + σ), τ - θ ≤ σ ≤ 0. These are restricted by inequalities&#13;
hj(x0)⩽μj,j=1,...,p&#13;
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gs(ω(∙))⩽βs,s=1,...,q&#13;
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. Also given are the constraints on system trajectories — the “outputs” x(•) = x(θ + σ), τ - θ ≤ σ ≤ 0, i.e.&#13;
φi(x(∙))⩽υi,i=1,...,k</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1987</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Springer Berlin Heidelberg</mods:publisher></mods:originInfo><mods:genre>Book Section</mods:genre></mods:mods>