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The Experts below are selected from a list of 270 Experts worldwide ranked by ideXlab platform

Todd A. Oliynyk - One of the best experts on this subject based on the ideXlab platform.

A N Shiryayev - One of the best experts on this subject based on the ideXlab platform.

A. J. Badakaya - One of the best experts on this subject based on the ideXlab platform.

  • PURSUIT DIFFERENTIAL GAME PROBLEM WITH INTEGRAL AND GEOMETRIC CONSTRAINTS IN A HILBERT SPACE
    Journal of the Nigerian Mathematical Society, 2020
    Co-Authors: J. Rilwan, A. J. Badakaya
    Abstract:

    We study pursuit  differential game problem with Countable Number of pursuers and one evader. Control functions of some finite Number of pursuers are subject to integral constraints while that of the remaining pursuers and evader are subject to geometric constraint. Sufficient conditions for completion of pursuit in two different theorems are presented. Moreover, attainability domains and  strategies of the players are also constructed. Furthermore, illustrative examples are given.

  • VALUE OF A DIFFERENTIAL GAME PROBLEM WITH MULTIPLE PLAYERS IN A CERTAIN HILBERT SPACE
    Journal of the Nigerian Mathematical Society, 2017
    Co-Authors: A. J. Badakaya
    Abstract:

    We study differential game problem involving Countable Number of pursuers and one evader in the space l2. Players’ motion obey ordinary differential equations with integral constraints subjected to the control functions of the players. Termination time of the game is fixed. The payoff functional is the greatest lower bound of distances between pursuers and the evader when the game is terminated. Optimal strategies of the players are constructed and value of the game is found.

David Levanony - One of the best experts on this subject based on the ideXlab platform.

  • nDS - A white noise approach to linear stochastic systems
    2009 International Workshop on Multidimensional (nD) Systems, 2009
    Co-Authors: Daniel Alpay, David Levanony
    Abstract:

    We present a new approach to study linear stochastic systems, where randomness is also included in the transfer function. We use the white noise setting, and the systems input-output relation is given in terms of two convolutions. The Hermite transform allows to describe the results in terms of functions analytic in a Countable Number of variables.

  • A white noise approach to linear stochastic systems
    2009 International Workshop on Multidimensional (nD) Systems, 2009
    Co-Authors: Daniel Alpay, David Levanony
    Abstract:

    We present a new approach to study linear stochastic systems, where randomness is also included in the transfer function. We use the white noise setting, and the systems input-output relation is given in terms of two convolutions. The Hermite transform allows to describe the results in terms of functions analytic in a Countable Number of variables.

Daniel Alpay - One of the best experts on this subject based on the ideXlab platform.

  • An Interpolation Problem for Functions with Values in a Commutative Ring
    arXiv: Functional Analysis, 2012
    Co-Authors: Daniel Alpay, Haim Attia
    Abstract:

    It was recently shown that the theory of linear stochastic systems can be viewed as a particular case of the theory of linear systems on a certain commutative ring of power series in a Countable Number of variables. In the present work we study an interpolation problem in this setting. A key tool is the principle of permanence of algebraic identities.

  • nDS - A white noise approach to linear stochastic systems
    2009 International Workshop on Multidimensional (nD) Systems, 2009
    Co-Authors: Daniel Alpay, David Levanony
    Abstract:

    We present a new approach to study linear stochastic systems, where randomness is also included in the transfer function. We use the white noise setting, and the systems input-output relation is given in terms of two convolutions. The Hermite transform allows to describe the results in terms of functions analytic in a Countable Number of variables.

  • A white noise approach to linear stochastic systems
    2009 International Workshop on Multidimensional (nD) Systems, 2009
    Co-Authors: Daniel Alpay, David Levanony
    Abstract:

    We present a new approach to study linear stochastic systems, where randomness is also included in the transfer function. We use the white noise setting, and the systems input-output relation is given in terms of two convolutions. The Hermite transform allows to describe the results in terms of functions analytic in a Countable Number of variables.