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P.n. Paraskevopoulos - One of the best experts on this subject based on the ideXlab platform.

  • Exact Model matching of left invertible neutral time delay systems
    International Journal of Modelling Identification and Control, 2008
    Co-Authors: F. N. Koumboulis, G. E. Panagiotakis, P.n. Paraskevopoulos
    Abstract:

    The problem of Exact Model Matching (EMM) for general left invertible neutral multidelay systems, via proportional realisable state and output feedback, is extensively solved. The necessary and sufficient conditions for the problem to have a realisable solution are established. The general analytical expression of the controllers, solving the problem, is derived. The present results are rather useful to adaptive control of distributed industrial processes described by neutral time delay Models.

  • New approach to linear Exact Model matching for a class of nonlinear systems
    Journal of Optimization Theory and Applications, 1997
    Co-Authors: P.n. Paraskevopoulos, A. S. Tsirikos
    Abstract:

    In this paper, a new approach to the linear Exact Model matching problem for a class of nonlinear systems, using static state feedback, is presented. This approach reduces the problem of determining the state feedback control law to that of solving a system of first-order partial differential equations. Based on these equations, two major issues are resolved: the necessary and sufficient conditions for the problem to have a solution and the general analytical expression for the feedback control law. Furthermore, the proposed approach is extended to solve the same problem via static output feedback.

  • Exact Model matching of linear systems using generalized sampled-data hold functions
    Automatica, 1994
    Co-Authors: P.n. Paraskevopoulos, Konstantinos G. Arvanitis
    Abstract:

    A new technique is presented for the solution of the Exact Model matching problem of linear time-invariant systems using generalized sampled-data hold functions. This technique reduces the problem to that of solving a nonhomogeneous algebraic system of equations. On the basis of this system of equations, the necessary and sufficient conditions are established and the expressions of the controller matrices are derived.

  • Exact Model matching of generalized state space systems
    Journal of Optimization Theory and Applications, 1993
    Co-Authors: P.n. Paraskevopoulos, F. N. Koumboulis, D. F. Anastasakis
    Abstract:

    The problem of Exact Model matching for generalized state space (GSS) systems via pure proportional state and output feedback is studied. The following two major issues are resolved here for the first time: The necessary and sufficient conditions for the problem to have a solution and the general analytical expressions for the Exact Modelmatching controller matrices. The important case of left invertible systems is treated separately wherein simple solutions are established for the above two major issues and results on structural properties of the closed-loop system are reported. Known results on Model matching of regular systems are derived as a special case of the GSS systems results, thus unifying the solution of the Exact Model-matching problem of regular and singular systems.

  • Uniform Exact Model matching for a class of linear time-varying analytic systems
    Systems & Control Letters, 1992
    Co-Authors: Konstantinos G. Arvanitis, P.n. Paraskevopoulos
    Abstract:

    Abstract The problem of uniform Exact Model matching is studied via state and output feedback, for a class of linear time-varying analytic systems. The following two major issues are resolved: The nessecary and sufficient conditions for the problems to have a solution and the general analytical expressions for the controller matrices. A major feature of the proposed approach, is that it reduces the uniform Exact Model matching problem to that of solving a linear nonhomogeneous algebraic matrix equation.

Akira Sano - One of the best experts on this subject based on the ideXlab platform.

  • Design method of Exact Model matching control for finite volterra series systems
    International Journal of Control, 1997
    Co-Authors: Osamu Yamanaka, Hiromitsu Ohmori, Akira Sano
    Abstract:

    This paper is concerned with Exact Model matching control (EMM) for finite Volterra series systems. First, we show a structure of a causal controller which can achieve the Exact Model matching to a reference Model and clarify the relationship between the proposed method and the EMM for linear systems. Second, to analyse the stability of the proposed control system, we present an input dependent small gain theorem for the system with an external input, then extend it for the system with two external inputs. With the help of this theorem, we clarify the condition under which the control system is stable for the reference input magnitude within a certain range, and is also robust for small disturbances. Finally, the effectiveness of the proposed method is illustated through numerical simulations.

  • Stable Exact Model Matching Control for Finite Volterra Series Systems
    1995
    Co-Authors: Osamu Yamanaka, Hiromitsu Ohmori, Akira Sano
    Abstract:

    This paper presents the stable Exact Model matching (EMM) control design method for finite Volterra series systems as a primary step to adaptive control. First, in order to analyze the stability, an input dependent small gain theorem is presented. Then with the help of the obtained theorem, we give sufficient conditions under which the EMM control system is input-output stable. Moreover, in order to extend the EMM to adaptive control, we propose the EMM for the plant described by the generalized Hammerstine Model which is related to that for finite Volterra series system. It is shown that the EMM can be extended to adaptive control because of linearity of parameters.

  • Exact Model matching scheme for finite Volterra series systems
    Proceedings of 1994 33rd IEEE Conference on Decision and Control, 1
    Co-Authors: Osamu Yamanaka, Hiroshi Ito, Hiromitsu Ohmori, Akira Sano
    Abstract:

    This paper presents an Exact Model matching scheme for finite Volterra series systems in the Laplace transform domain. The proposed scheme is a natural extension of the Exact Model matching (EMM) for linear systems to that for a class of the nonlinear systems. The effectiveness of the proposed scheme is illustrated through a numerical example. >

  • Stability analysis of Exact Model matching control for finite Volterra series systems
    Proceedings of 1995 34th IEEE Conference on Decision and Control, 1
    Co-Authors: Osamu Yamanaka, M. Ohmori, Akira Sano
    Abstract:

    This paper is concerned with Exact Model matching control (EMM) for finite Volterra series systems and analyses stability of the systems. First, the authors show a structure of a causal controller which can achieve the Exact Model matching to a reference Model. Next, in order to discuss the stability of the proposed control system, the authors give an input dependent small gain theorem. Finally, the authors clarify the condition under which the control system is stable for the reference input magnitude within a certain range, and is also robust for small disturbances.

Henri Bourlès - One of the best experts on this subject based on the ideXlab platform.

Osamu Yamanaka - One of the best experts on this subject based on the ideXlab platform.

  • Design method of Exact Model matching control for finite volterra series systems
    International Journal of Control, 1997
    Co-Authors: Osamu Yamanaka, Hiromitsu Ohmori, Akira Sano
    Abstract:

    This paper is concerned with Exact Model matching control (EMM) for finite Volterra series systems. First, we show a structure of a causal controller which can achieve the Exact Model matching to a reference Model and clarify the relationship between the proposed method and the EMM for linear systems. Second, to analyse the stability of the proposed control system, we present an input dependent small gain theorem for the system with an external input, then extend it for the system with two external inputs. With the help of this theorem, we clarify the condition under which the control system is stable for the reference input magnitude within a certain range, and is also robust for small disturbances. Finally, the effectiveness of the proposed method is illustated through numerical simulations.

  • Stable Exact Model Matching Control for Finite Volterra Series Systems
    1995
    Co-Authors: Osamu Yamanaka, Hiromitsu Ohmori, Akira Sano
    Abstract:

    This paper presents the stable Exact Model matching (EMM) control design method for finite Volterra series systems as a primary step to adaptive control. First, in order to analyze the stability, an input dependent small gain theorem is presented. Then with the help of the obtained theorem, we give sufficient conditions under which the EMM control system is input-output stable. Moreover, in order to extend the EMM to adaptive control, we propose the EMM for the plant described by the generalized Hammerstine Model which is related to that for finite Volterra series system. It is shown that the EMM can be extended to adaptive control because of linearity of parameters.

  • Exact Model matching scheme for finite Volterra series systems
    Proceedings of 1994 33rd IEEE Conference on Decision and Control, 1
    Co-Authors: Osamu Yamanaka, Hiroshi Ito, Hiromitsu Ohmori, Akira Sano
    Abstract:

    This paper presents an Exact Model matching scheme for finite Volterra series systems in the Laplace transform domain. The proposed scheme is a natural extension of the Exact Model matching (EMM) for linear systems to that for a class of the nonlinear systems. The effectiveness of the proposed scheme is illustrated through a numerical example. >

  • Stability analysis of Exact Model matching control for finite Volterra series systems
    Proceedings of 1995 34th IEEE Conference on Decision and Control, 1
    Co-Authors: Osamu Yamanaka, M. Ohmori, Akira Sano
    Abstract:

    This paper is concerned with Exact Model matching control (EMM) for finite Volterra series systems and analyses stability of the systems. First, the authors show a structure of a causal controller which can achieve the Exact Model matching to a reference Model. Next, in order to discuss the stability of the proposed control system, the authors give an input dependent small gain theorem. Finally, the authors clarify the condition under which the control system is stable for the reference input magnitude within a certain range, and is also robust for small disturbances.

Bogdan Marinescu - One of the best experts on this subject based on the ideXlab platform.

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