Abstract
This paper presents computational methods for optimization of control, connected with development and application of an approach in which sufficient conditions for global minima of functionals in variational calculus and optimal control theory are used. The first results were given at the beginning of the sixties (1–5), see also (6,7). The main element which is looked for in this approach is a so called solving function depending on the state and the argument (time) of the process under consideration. Having properly chosen this function an optimal solution is found through maximization of some scalar function of state, control, and time with respect to first two variables.
Making use of these methods the problem of optimal control for resonance interaction of radiation with a quantum system is being investigated. An iteration method for solving this problem, applicable to a large dimensional system, is proposed. The author presents the numerical solutions of the following problems:
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1)
the obtaining of the maximal inverse population of a three level system excited by three fields with relaxation (dimension of a phase vector is equal to n=9);
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2)
the obtaining of the maximal population of the first oscilating zone of a molecule of a spherical top type, excited by one external field (dimensional of a phase vector equal to n=15202).
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Krotov, V.F. (1989). Global methods to improve control and optimal control of resonance interaction of light and matter. In: Blaquiére, A. (eds) Modeling and Control of Systems. Lecture Notes in Control and Information Sciences, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0041198
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DOI: https://doi.org/10.1007/BFb0041198
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