The Experts below are selected from a list of 117 Experts worldwide ranked by ideXlab platform

Jun-hong Wang - One of the best experts on this subject based on the ideXlab platform.

  • Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

  • ACC - Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

Yun Chen - One of the best experts on this subject based on the ideXlab platform.

  • Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

  • ACC - Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

Rudi J Van Aarde - One of the best experts on this subject based on the ideXlab platform.

  • Matrix transformation alters species-area relationships in fragmented coastal forests
    Landscape Ecology, 2018
    Co-Authors: Marc T. Freeman, Pieter Ignatius Olivier, Rudi J Van Aarde
    Abstract:

    Context Ecological theory suggests that large habitat fragments should harbour more species than small fragments. However, this may depend on the surrounding Matrix. Matrices in fragmented landscapes may either amplify or reduce area effects, which could influence predicted extinctions based on species-area relationships (SARs).

  • Matrix transformation alters species-area relationships in fragmented coastal forests
    Landscape Ecology, 2018
    Co-Authors: Marc T. Freeman, Pieter Ignatius Olivier, Rudi J Van Aarde
    Abstract:

    Ecological theory suggests that large habitat fragments should harbour more species than small fragments. However, this may depend on the surrounding Matrix. Matrices in fragmented landscapes may either amplify or reduce area effects, which could influence predicted extinctions based on species-area relationships (SARs). To determine the influence of Matrix type on SARs. We surveyed birds within 59 coastal forest fragments in two Matrix types, anthropogenic (South Africa) and natural (Mozambique). We classified species as forest specialists or habitat generalists and fitted species-area models to compare how SAR slopes differed among Matrix types. We also calculated nestedness and evenness to determine if these varied among Matrix type and used logistic regressions to identify species-specific responses to Matrix type. For habitat generalists, SARs were weak within both Matrices, while for forest specialists it was strong in the anthropogenic but weak in the natural Matrix. In the former, the SAR was similar to those recorded for real islands within archipelagos. Forest specialist assemblages were nested by area within anthropogenic, but not natural Matrices. Matrix type did not influence evenness. Area only affected the occurrence of one species when the Matrix was natural, compared to 11 species when it was anthropogenic. Forest specialist bird species conformed to island biogeographic predictions of species loss in forest fragments embedded in anthropogenic, but not natural Matrices. Extinctions from small forest fragments might be prevented by conserving natural- or restoring anthropogenic Matrices, as well as by increasing forest area.

Ming Ge - One of the best experts on this subject based on the ideXlab platform.

  • Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

  • ACC - Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

Jian-zhong Wang - One of the best experts on this subject based on the ideXlab platform.

  • Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.

  • ACC - Stability of stochastic systems with nonlinear uncertainties and time-varying delays
    2008 American Control Conference, 2008
    Co-Authors: Yun Chen, Jian-zhong Wang, Ming Ge, Jun-hong Wang
    Abstract:

    This paper considers stability of stochastic systems with nonlinear uncertainties and time-varying delays. By introducing some slack Matrix Matrices, a delay-dependent stability criterion is obtained based on Lyapunov-Krasovskii theory. The proposed condition, which is formulated in terms of linear Matrix inequalities (LMIs), is constructed without using the model transformation and cross term bounding techniques. Some term which was ignored in previous methods is considered in our result. Two numerical examples are provided to demonstrate the less conservatism of the method.