The use of control theory to study iterative algorithms, which can be considered as dynamical systems, opens many opportunities to find new tools for analysis of algorithms. In this paper we show that results from the study of quantization effects in control systems can be used to find systematic ways for forward error analysis of iterative algorithms. The proposed schemes are applied to the classical iterative methods for solving a system of linear equations. The obtained bounds are compared with bounds given in the numerical analysis literature
A frequency domain analysis method of a second order iterative learning control (ILC) algorithm is c...
Backward error analysis has become an important tool for understanding the long time behavior of num...
Numerical computation is traditionally performed using floating-point arithmetic and truncated forms...
Many iterative numerical algorithms can be considered as dynamical systems. Since control theory dea...
The dynamical systems theory developed by Zufifia [1], Zufiria and Guttalu [2, 3], and Guttalu and ...
summary:We consider iterative schemes applied to systems of linear ordinary differential equations a...
Iterative processes are the tools used to generate sequences approximating solutions of equations de...
In this paper, the fixed point iteration and Newton's methods for iteratively solving nonlinear...
This thesis deals with perturbation and error analysis in robust control, mainly H control, but the ...
In this paper we present the theoretical foundation of forward error analysis of numerical algorithm...
A numerical algorithm for computing necessary conditions for performance specifications is developed...
International audienceUnder some assumptions on the speed of convergence of a sequence, the signific...
This paper studies iterative learning control (ILC) for under-determined and over-determined systems...
Professionals involved in systems and control theory and control engineering formulate equations whi...
AbstractWithout theoretical evidence to support the use of an algorithm, one cannot be certain that ...
A frequency domain analysis method of a second order iterative learning control (ILC) algorithm is c...
Backward error analysis has become an important tool for understanding the long time behavior of num...
Numerical computation is traditionally performed using floating-point arithmetic and truncated forms...
Many iterative numerical algorithms can be considered as dynamical systems. Since control theory dea...
The dynamical systems theory developed by Zufifia [1], Zufiria and Guttalu [2, 3], and Guttalu and ...
summary:We consider iterative schemes applied to systems of linear ordinary differential equations a...
Iterative processes are the tools used to generate sequences approximating solutions of equations de...
In this paper, the fixed point iteration and Newton's methods for iteratively solving nonlinear...
This thesis deals with perturbation and error analysis in robust control, mainly H control, but the ...
In this paper we present the theoretical foundation of forward error analysis of numerical algorithm...
A numerical algorithm for computing necessary conditions for performance specifications is developed...
International audienceUnder some assumptions on the speed of convergence of a sequence, the signific...
This paper studies iterative learning control (ILC) for under-determined and over-determined systems...
Professionals involved in systems and control theory and control engineering formulate equations whi...
AbstractWithout theoretical evidence to support the use of an algorithm, one cannot be certain that ...
A frequency domain analysis method of a second order iterative learning control (ILC) algorithm is c...
Backward error analysis has become an important tool for understanding the long time behavior of num...
Numerical computation is traditionally performed using floating-point arithmetic and truncated forms...