Add to ORKGA numerically reliable state space algorithm is proposed for computing inner-outer factorizations of causal periodic descriptor systems. The main computational ingredients are the computation of a special condensed Kronecker-like form of periodic pairs using orthogonal reduction algorithms and the solution of periodic Riccati equations. The proposed approach is completely general, being applicable to arbitrary causal periodic systems with time-varying state dimensions
The classical prediction problem is analyzed via a geometric approach rather than measure theoretic ...
This paper considers inner-outer factorization of asymptotically stable nonlinear state space system...
In this paper, the problem of obtaining a periodic description in state-space form of a linear proce...
Abstract: We propose computationally ecient and numerically reliable algorithms to compute minimal r...
This paper considers computation of the inverse of periodic and IVI systems. It proposes a new initi...
a state of the art survey of computational methods for periodic systems has been presented (Varga an...
A cyclostationary process is a stochastic process whose statistical parameters, such as mean and aut...
Linear periodic systems originate in various control fields involving periodic phenomena. In the beg...
AbstractWe propose numerically reliable state-space algorithms for computing several coprime factori...
This dissertation concerns the model reduction of linear periodic descriptor systems both in continu...
In this paper, we give a numerically reliable algorithm to compute the zeros of a periodic descripto...
A causal realization of an inverse system can be unstable and an anti-casual realization is to deal ...
A large number of results from linear time-invariant system theory can be extended to periodic syste...
It is shown how the method for inner-outer factorization of stable nonlinear state space systems may...
We apply a Floquet-like theory to linear discrete-time periodic systems, and present an algorithm to...
The classical prediction problem is analyzed via a geometric approach rather than measure theoretic ...
This paper considers inner-outer factorization of asymptotically stable nonlinear state space system...
In this paper, the problem of obtaining a periodic description in state-space form of a linear proce...
Abstract: We propose computationally ecient and numerically reliable algorithms to compute minimal r...
This paper considers computation of the inverse of periodic and IVI systems. It proposes a new initi...
a state of the art survey of computational methods for periodic systems has been presented (Varga an...
A cyclostationary process is a stochastic process whose statistical parameters, such as mean and aut...
Linear periodic systems originate in various control fields involving periodic phenomena. In the beg...
AbstractWe propose numerically reliable state-space algorithms for computing several coprime factori...
This dissertation concerns the model reduction of linear periodic descriptor systems both in continu...
In this paper, we give a numerically reliable algorithm to compute the zeros of a periodic descripto...
A causal realization of an inverse system can be unstable and an anti-casual realization is to deal ...
A large number of results from linear time-invariant system theory can be extended to periodic syste...
It is shown how the method for inner-outer factorization of stable nonlinear state space systems may...
We apply a Floquet-like theory to linear discrete-time periodic systems, and present an algorithm to...
The classical prediction problem is analyzed via a geometric approach rather than measure theoretic ...
This paper considers inner-outer factorization of asymptotically stable nonlinear state space system...
In this paper, the problem of obtaining a periodic description in state-space form of a linear proce...