On the mathematical model for linear elastic systems with analytic damping
SIAM Journal on Control and Optimization
An introduction to infinite-dimensional linear systems theory
An introduction to infinite-dimensional linear systems theory
SIAM Journal on Control and Optimization
On the Boundedness and Continuity of the Spectral Factorization Mapping
SIAM Journal on Control and Optimization
International Journal of Systems Science
Approximate Controllability of Infinite Dimensional Systems of the n-th Order
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
Null Controllability of Linear Systems with Constrained Controls
SIAM Journal on Control and Optimization
Seismic wave propagation and perfectly matched layers using a GFDM
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
Application of the GFDM for dynamic analysis of plates
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
Constrained controllability of nonlinear stochastic impulsive systems
International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
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In this article we apply numerical methods to the research of the notion that control specialists are familiar with, i.e. controllability. The main novelty of this article is the research methodology that fully considers lower bounds of the manipulated variables and their upper limitations. Thus, the theoretical results in this paper are fully realistic and dependable for practical engineering purposes. We choose the advanced matrix algebra and analysis together with the properties of the positive systems as the mathematical tools. Additionally, we present ready-to-use algorithm in the Matlab^(R) package.