Add to ORKGThis paper deals with the problem of numerical analysis of multidimensional systems with interval parameters in relation to the operability of MIMO systems. The problem is analyzed for the case when the relative estimation of the interval parameters exceeds 0.5 and based on the assumption that only the state matrix of a MIMO system contains interval parameters. The problem of operability estimation of the MIMO system is solved with interval degeneration factors. Interval degeneration factors are constructed using interval arithmetic and the singular values of the interval criterion matrices of the system. An operability analysis algorithm of multidimensional systems with interval parameters is proposed in the paper. The results are supporte...
Interval availability, defined as the fraction of time that a system is operational during a period ...
The methods of the tolerance ellipsoidal estimation for the tasks of synthesis of the tolerances to ...
Uncertain models, e.g., due to component variations and measurement errors during system identificat...
This paper deals with the problem of numerical analysis of multidimensional systems with interval pa...
The more complex the problem, the more complex the system necessary for solving this problem. For ve...
First, basic aspects of interval analysis, roles of intervals and their applications are addressed. ...
Interval methods represent a relatively new research direction in digital sig-nal processing. Though...
AbstractModeling of multibody systems is an important though demanding field of application for inte...
The paper presents a method of determining the robustness of solutions of systems of interval linear...
Several robustness problems such as stability and performance robustness analysis of feedback system...
The article considers the problem of stability of interval-defined linear systems based on the Hurwi...
In this paper, robustness of parametric systems is analyzed using a new approach to interval mathema...
The numerical range of a matrix is a set of complex numbers that contains all the eigen- values of t...
Linear systems represent the computational kernel of many models that describe problems arising in t...
Linear systems represent the computational kernel of many models that describe problems arising in t...
Interval availability, defined as the fraction of time that a system is operational during a period ...
The methods of the tolerance ellipsoidal estimation for the tasks of synthesis of the tolerances to ...
Uncertain models, e.g., due to component variations and measurement errors during system identificat...
This paper deals with the problem of numerical analysis of multidimensional systems with interval pa...
The more complex the problem, the more complex the system necessary for solving this problem. For ve...
First, basic aspects of interval analysis, roles of intervals and their applications are addressed. ...
Interval methods represent a relatively new research direction in digital sig-nal processing. Though...
AbstractModeling of multibody systems is an important though demanding field of application for inte...
The paper presents a method of determining the robustness of solutions of systems of interval linear...
Several robustness problems such as stability and performance robustness analysis of feedback system...
The article considers the problem of stability of interval-defined linear systems based on the Hurwi...
In this paper, robustness of parametric systems is analyzed using a new approach to interval mathema...
The numerical range of a matrix is a set of complex numbers that contains all the eigen- values of t...
Linear systems represent the computational kernel of many models that describe problems arising in t...
Linear systems represent the computational kernel of many models that describe problems arising in t...
Interval availability, defined as the fraction of time that a system is operational during a period ...
The methods of the tolerance ellipsoidal estimation for the tasks of synthesis of the tolerances to ...
Uncertain models, e.g., due to component variations and measurement errors during system identificat...