The Experts below are selected from a list of 17838 Experts worldwide ranked by ideXlab platform

Jaume Llibre - One of the best experts on this subject based on the ideXlab platform.

Claudio Altafini - One of the best experts on this subject based on the ideXlab platform.

Cristóbal García - One of the best experts on this subject based on the ideXlab platform.

  • centers of quasi Homogeneous Polynomial planar systems
    Nonlinear Analysis-real World Applications, 2012
    Co-Authors: Antonio Algaba, N Fuentes, Cristóbal García
    Abstract:

    Abstract In this paper we determine the centers of quasi-Homogeneous Polynomial planar vector fields of degree 0, 1, 2, 3 and 4. In addition, in every case we make a study of the reversibility and the analytical integrability of each one of the above centers. We find Polynomial centers which are neither orbitally reversible nor analytically integrable, this is a new scenario in respect to the one of non-degenerate and nilpotent centers.

  • Monodromy, center–focus and integrability problems for quasi-Homogeneous Polynomial systems
    Nonlinear Analysis-theory Methods & Applications, 2010
    Co-Authors: Antonio Algaba, Emilio Freire, E. Gamero, Cristóbal García
    Abstract:

    Abstract This paper deals with planar quasi-Homogeneous Polynomial vector fields, and addresses three major questions: the monodromy, the center–focus and the integrability problems. We characterize the monodromic planar quasi-Homogeneous Polynomial vector fields, and we give a condition to distinguish between a center and a focus in this case. Also, we provide conditions which characterize the integrability of quasi-Homogeneous Polynomial systems under non-resonance conditions. The results obtained allow us to analyse two monodromic planar systems with degenerate linear part: one of them with nilpotent linearization, and another one with null linear part.

  • monodromy center focus and integrability problems for quasi Homogeneous Polynomial systems
    Nonlinear Analysis-theory Methods & Applications, 2010
    Co-Authors: Antonio Algaba, Emilio Freire, E. Gamero, Cristóbal García
    Abstract:

    Abstract This paper deals with planar quasi-Homogeneous Polynomial vector fields, and addresses three major questions: the monodromy, the center–focus and the integrability problems. We characterize the monodromic planar quasi-Homogeneous Polynomial vector fields, and we give a condition to distinguish between a center and a focus in this case. Also, we provide conditions which characterize the integrability of quasi-Homogeneous Polynomial systems under non-resonance conditions. The results obtained allow us to analyse two monodromic planar systems with degenerate linear part: one of them with nilpotent linearization, and another one with null linear part.

Llibre Jaume - One of the best experts on this subject based on the ideXlab platform.

Xian Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Asynchronous Filtering for Delayed Markovian Jump Systems via Homogeneous Polynomial Approach
    IEEE Transactions on Automatic Control, 2020
    Co-Authors: Xian Zhang, Chunhua Yang
    Abstract:

    In this article, the asynchronous filtering scheme for Markovian jump systems (MJSs) subjected to time-varying delays and infinite distributed delays, is investigated based on the Homogeneous Polynomial approach. First, sufficient conditions are proposed to ensure that the filtering error system is exponentially stabile in mean square and satisfies a given performance index simultaneously. Second, the asynchronous filter is synthesized for MJSs with certain transition probability. Moreover, one so-called Homogeneous Polynomial method is developed to design the asynchronous filter in the case of uncertain transition probabilities. During the analysis, a Homogeneous Polynomial matrix is introduced in the parameter-dependent Lyapunov function that can reduce the conservatism of the results. Finally, a numerical example is given to support the feasibility and effectiveness of the proposed theory.

  • exponential stability analysis for delayed semi markovian recurrent neural networks a Homogeneous Polynomial approach
    IEEE Transactions on Neural Networks, 2018
    Co-Authors: Xian Zhang, Chunhua Yang, Weihua Gui
    Abstract:

    This paper investigates the exponential stability analysis issue for a class of delayed recurrent neural networks (RNNs) with semi-Markovian parameters. By constructing a stochastic Lyapunov functional and using some zoom techniques to estimate its weak infinitesimal operator, the exponential mean square stability criteria have been proposed for the Markovian neural networks with certain transition probabilities. We then generalize the Homogeneous Polynomial approach for the delayed Markovian RNNs with uncertain transition probabilities during the stability analysis. Theoretical results have obtained by introducing an appropriate technique for dealing with a large number of complex Homogeneous Polynomial matrix inequalities. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed technique.

  • Stability Analysis for Discrete-Time Markovian Jump Systems With Time-Varying Delay: A Homogeneous Polynomial Approach
    IEEE Access, 2017
    Co-Authors: Xin Li, Xian Zhang, Xin Wang
    Abstract:

    This paper is concerned with the stochastic stability problem for discrete-time Markovian jump systems (DTMJSs) with time-varying delays. Two cases are discussed in the main results. On the one hand, it is assumed that the transition probability can be known. In this case, by constructing the Lyapunov-Krasovskii functional and using some summation inequalities to estimate its forward difference, a new stochastic stability criterion of DTMJSs can be obtained, which has less conservatism than existing results. On the other hand, by utilizing the Homogeneous Polynomial approach, the novel delay-dependent stability condition of DTMJSs with uncertain transition probability is proposed. Finally, the results of numerical simulations demonstrate the effectiveness of the proposed methods.