Wyniki wyszukiwania - BazTech

1

Positivity and stability of discrete-time and continuous-time nonlinear systems

Kaczorek T.

Przegląd Elektrotechniczny

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2015

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R. 91, nr 8

127--130

PL

Przedstawione zostaną dodatnie i stabilne asymptotycznie nieliniowe układy dyskretne i ciągłe. Podane zostaną warunki wystarczające dodatniości i stabilności asymptotycznej układów nieliniowych. Proponowane metody badania stabilności zostaną oparte na uogólnieniu metody Lyapunova. Efektywność testów zostanie zademonstrowana na przykładach numerycznych.

EN

The positivity and asymptotic stability of the discrete-time and continuous-time nonlinear systems are addressed. Sufficient conditions for the positivity and asymptotic stability of the nonlinear systems are established. The proposed stability tests are based on an extension of the Lyapunov method to the positive nonlinear systems. The effectiveness of the tests are demonstrated on examples.

2

Simple environment for developing methods of controlling chaos in spatially distributed systems

Korus Ł.

International Journal of Applied Mathematics and Computer Science

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2011

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Vol. 21, no 1

149-159

EN

The paper presents a simple mathematical model called a coupled map lattice (CML). For some range of its parameters, this model generates complex, spatiotemporal behavior which seems to be chaotic. The main purpose of the paper is to provide results of stability analysis and compare them with those obtained from numerical simulation. The indirect Lyapunov method and Lyapunov exponents are used to examine the dependence on initial conditions. The net direction phase is introduced to measure the symmetry of the system state trajectory. In addition, a real system, which can be modeled by the CML, is presented. In general, this article describes basic elements of environment, which can be used for creating and examining methods of chaos controlling in systems with spatiotemporal dynamics.

3

A hierarchical decomposition of decision process Petri nets for modeling complex systems

Clempner J.

International Journal of Applied Mathematics and Computer Science

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2010

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Vol. 20, no 2

349-366

EN

We provide a framework for hierarchical specification called Hierarchical Decision Process Petri Nets (HDPPNs). It is an extension of Decision Process Petri Nets (DPPNs) including a hierarchical decomposition process that generates less complex nets with equivalent behavior. As a result, the complexity of the analysis for a sophisticated system is drastically reduced. In the HDPPN, we represent the mark-dynamic and trajectory-dynamic properties of a DPPN. Within the framework of the mark-dynamic properties, we show that the HDPPN theoretic notions of (local and global) equilibrium and stability are those of the DPPN. As a result in the trajectory-dynamic properties framework, we obtain equivalent characterizations of that of the DPPN for final decision points and stability. We show that the HDPPN mark-dynamic and trajectory-dynamic properties of equilibrium, stability and final decision points coincide under some restrictions. We propose an algorithm for optimum hierarchical trajectory planning. The hierarchical decomposition process is presented under a formal treatment and is illustrated with application examples.

4

Asymptotic behaviour of real two-dimensional differential system with a finite number of constant delays

Rebenda J.

Demonstratio Mathematica

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2008

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Vol. 41, nr 4

845-857

EN

In this article stability and asymptotic properties of a real two-dimensional system x'(t) = A(t)x(t) +[...]=i Bj(t)x(t - r j) + h(t, x (t), x (t - n), ...,x(t- rn)) are studied, where r1 > 0,..., rn > 0 are constant delays, A, B1, ..., Bn are the matrix functions and h is the vector function. Generalization of results on stability of a two-dimensional differential system with one constant delay is obtained using the methods of complexification and Lyapunov-Krasovskii functional and some new corollaries and an example are presented.