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 ...

nowadays, radar systems have many applications and radar imaging is one of the most important of these applications. inverse synthetic aperture radar (isar) is used to form an image from moving targets. conventional methods use fourier transform to retrieve doppler information. however, because of maneuvering of the target, the doppler spectrum becomes time-varying and the image is blurred. joi...

We characterize the stability conditions with an arbitrary statedependent time-varying round-trip delay in the context of single-flow and singleresource for Kelly’s optimization based rate control scheme using invariance techniques. It is shown that the stability conditions with an arbitrary fixed delay are sufficient for the stability of the system with a state-dependent time-varying delay.

This paper presents dynamic portfolio model based on the Merton's optimal investment-consumption model, which combines dynamic synthetic put option using risk-free and risky assets. This paper is extended version of methodological paper published by Yuan Yao (2012). Because of the long history of the development of foreign financial market, with a variety of financial derivatives, the study on ...

In this paper an extensive empirical analysis of recently introduced Particle Swarm Optimization algorithm with Convergence Related parameters (CR-PSO) is presented. The algorithm is tested on extended set of benchmarks and the results are compared to the PSO with time-varying acceleration coefficients (TVAC-PSO) and the standard genetic algorithm (GA). Key-Words: Global Optimization, Particle ...

Nonlinear systems with time-varying uncertainties with known norm bound and exogenous disturbances are investigated in this work. Conditions for the determination of the H∞ norm of this class of systems are obtained in the form of a convex optimization problem in terms of LMIs. It is also proposed a H∞ optimal control design that aims to stabilize a class of nonlinear systems with time-varying ...

In this paper, a novel Particle Swarm Optimization (PSO) identification algorithm for time-varying systems with a colored noise is presented. Presented criterion function can show not only outside system output error but also inside parameters error in order to explain more difference between actual and estimative system. Identification algorithm may consist of many different PSO algorithms tha...

Maxime Lucas, 2, ∗ Duccio Fanelli, † Timoteo Carletti, ‡ and Julien Petit 4, § Department of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom Dipartimento di Fisica e Astronomia, Università di Firenze, INFN and CSDC, Via Sansone 1, 50019 Sesto Fiorentino, Firenze, Italy naXys, Namur Institute for Complex Systems, University of Namur, B5000 Namur, Belgium Department of Mathematic...