This paper investigates the robust stability of linear neutral time-varying delay systems with non-linear perturbations. The uncertainties under consideration are nonlinear time-varying parameter perturbations and nor...
详细信息
This paper investigates the robust stability of linear neutral time-varying delay systems with non-linear perturbations. The uncertainties under consideration are nonlinear time-varying parameter perturbations and norm-bounded uncertainties, respectively. Using new Lyapunov-Krasovskii functional and integral inequality matrices, less conservative delay-dependent robust stability conditions for such systems in terms of linear matrix inequalities (LMIs) are derived.. The linear matrix inequality can be easily solved by efficient convex optimization algorithms. Moreover, it can be easily extended to the system with time-varying structured uncertainties and time-varying discrete delay. Numerical examples are given to indicate significant improvements over some existing results.
Using an information theoretical perspective, we explore quantitative methods for exploiting the spatial diversity offered by multiple widely separated antennas for radar imaging applications. While decomposing the op...
详细信息
ISBN:
(纸本)9781424489022
Using an information theoretical perspective, we explore quantitative methods for exploiting the spatial diversity offered by multiple widely separated antennas for radar imaging applications. While decomposing the operation of multistatic radar into multiple bistatic components, we proceed to characterize relevant conditional mutual information quantities between the underlying channel and bistatic output signals. The target scene is statistically characterized to be imaged as following a GSM (Gaussian Scale Mixture) distribution with respect to a dictionary in which the image is sparse. Under these assumptions we derive a useful upper bound on the conditional mutual information structure of bistatic channels which we then deploy to optimize the transmitted waveform via a convex optimization algorithm. Simulation results demonstrate the utility of our information theoretic characterization of multistatic channels for radar imaging applications.
This paper investigates the exponential stability problem for uncertain time-varying delay systems. Based on the Lyapunov-Krasovskii functional method, delay-dependent stability criteria have been derived in terms of ...
详细信息
This paper investigates the exponential stability problem for uncertain time-varying delay systems. Based on the Lyapunov-Krasovskii functional method, delay-dependent stability criteria have been derived in terms of a matrix inequality (LMI) which can be easily solved using efficient convex optimization algorithms. These results are shown to be less conservative than those reported in the literature. Four numerical examples are proposed to illustrate the effectiveness of our results. (C) 2009 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
暂无评论