Lie-algebraic connections between two classes of risk-sensitive performance criteria for linear quantum stochastic systems

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    Abstract

    This paper is concerned with the original risk-sensitive performance criterion for quantum stochastic systems and its recent quadratic-exponential counterpart. These functionals are of different structure because of the noncommutativity of quantum variables and have their own useful features such as tractability of evolution equations and robustness properties. We discuss a Lie algebraic connection between these two classes of cost functionals for open quantum harmonic oscillators using an apparatus of complex Hamiltonian kernels and symplectic factorizations. These results are aimed to extend useful properties from one of the classes of risk-sensitive costs to the other and develop state-space equations for computation and optimization of these criteria in quantum robust control and filtering problems.

    Original languageEnglish
    Title of host publication2019 Proceedings of the Conference on Control and its Applications (CT)
    EditorsWilliam S. Levine, Richard Stockbridge
    PublisherSociety for Industrial and Applied Mathematics Publications
    Pages30-37
    Number of pages8
    ISBN (Electronic)9781611975758
    DOIs
    Publication statusPublished - 2019
    Event2019 SIAM Conference on Control and Its Applications - Chengdu, China
    Duration: 19 Jun 201921 Jun 2019
    https://epubs.siam.org/doi/book/10.1137/1.9781611975758

    Conference

    Conference2019 SIAM Conference on Control and Its Applications
    Abbreviated titleSIAM CT 2019
    Country/TerritoryChina
    CityChengdu
    Period19/06/1921/06/19
    OtherThe field of control theory is central to a wide range of aerospace, energy, automotive and advanced technological systems and is increasingly recognized as fundamental for emerging fields ranging from nanotechnology, smart grid to cell regulation. Moreover, in addition to its traditional ubiquity in process regulation for the physical sciences and engineering, control concepts now pervade the biological, computer, and social sciences. This conference showcases a wide range of topics in control and systems theory. The topics and applications include control of PDEs, computational mathematics for control and optimization, real-time optimization and data assimilation, cooperative control for unmanned autonomous vehicles, differential games, cellular and biological regulation, control of hybrid systems, control techniques for financial mathematics, biomedical control, risk sensitive control and filtering, control of smart systems, flow control and quantum control.
    Internet address

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