Michal Niezabitowski

Dr. Michal Niezabitowski

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 July 2020 in Mathematical Methods in the Applied Sciences
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Journal Article
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APAnbalagan Pratap
Anbalagan Pratap
RRRamachandran Raja
Ramachandran Raja
Jinde CaoJinde Cao
Jinde Cao
CHChuangxia Huang
Chuangxia Huang
MNMichal Niezabitowski
Michal Niezabitowski
OBOvidiu Bagdasar
Ovidiu Bagdasar

1 June 2014
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Conference Paper
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JKJerzy Klamka
Jerzy Klamka
ACAdam Czornik
Adam Czornik
MNMichal Niezabitowski
Michal Niezabitowski
ABArtur Babiarz
Artur Babiarz
The main purpose of the paper is to discuss controllability problem for infinite-dimensional fractional linear discrete-time control systems. Moreover, the minimum energy control problem of infinite-dimensional fractional-discrete time linear systems is also addressed. Using theory of linear operators necessary and sufficient conditions for the exact controllability of the system are established. Sufficient conditions for the solvability of the minimum energy control of the infinite-dimensional fractional discrete-time systems are given. A procedure for computation of the optimal sequence of inputs minimizing the quadratic performance index is proposed.

1 June 2013 in Dynamical Systems
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ACAdam Czornik
Adam Czornik
MNMichal Niezabitowski
Michal Niezabitowski
In this article we propose a generalization of the concept of Lyapunov exponents for discrete linear systems which may be used in the case of unbounded coefficients. We show some simplest properties of this generalization and apply it to define a generalization of regular system. Finally, we discuss the problem of stability by linear approximation.

1 December 2013 in Dynamical Systems
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ACAdam Czornik
Adam Czornik
ANAleksander Nawrat
Aleksander Nawrat
MNMichal Niezabitowski
Michal Niezabitowski
In this note we describe the maximal and the minimal values of Lyapunov exponents for second-order discrete time-invariant linear system perturbed by time-varying bounded perturbations. An interpretation of the results in terms of generalized spectral radius is given. An application of obtained formulas to the robust stability problem is demonstrated on a numerical example.

1 June 2016 in International Journal of Applied Mathematics and Computer Science
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ABArtur Babiarz
Artur Babiarz
JKJerzy Klamka
Jerzy Klamka
MNMichal Niezabitowski
Michal Niezabitowski
The main objective of this article is to present the state of the art concerning approximate controllability of dynamic systems in infinite-dimensional spaces. The presented investigation focuses on obtaining sufficient conditions for approximate controllability of various types of dynamic systems using Schauder’s fixed-point theorem. We describe the results of approximate controllability for nonlinear impulsive neutral fuzzy stochastic differential equations with nonlocal conditions, impulsive neutral functional evolution integro-differential systems, stochastic impulsive systems with control-dependent coefficients, nonlinear impulsive differential systems, and evolution systems with nonlocal conditions and semilinear evolution equation.

1 August 2013
Verified
Conference Paper
Closed access
JKJerzy Klamka
Jerzy Klamka
MNMichal Niezabitowski
Michal Niezabitowski
In this paper using results taken directly from linear matrix algebra we shall present a survey of the new results on controllability for linear both continuous-time and discrete-time switched dynamical systems with unconstrained admissible controls. Controllability problems for different types of dynamical systems require the application of numerous mathematical concepts and methods taken directly from differential geometry, functional analysis, topology, matrix analysis and theory of ordinary and partial differential equations and theory of difference equations. In the paper we will use mainly statespace models of dynamical systems, which provide a robust and universal method for studying controllability of various classes of systems.