Add to ORKGAbstract It has been experimentally verified that most commonly used subspace methods for identification of linear state-space systems with exogenous inputs may, in certain experimental conditions, run into ill-conditioning and lead to ambiguous results. An analysis of the critical situations has lead to propose a new algorithmic structure wich could be used either to test difficult cases or/and to implement a suitable combination of new and old algorithms presented in the literature to help fixing the problem. A MATLAB code is available upon request at chiuso@dei.unipd.it
Computer-aided control system design is usually based on linear time-invariant (LTI) state space mod...
It has been observed that identification of state-space models with inputs may lead to unreliable r...
So called subspace methods for direct identication of linear mod els in state space form have drawn ...
It has been experimentally verified that most commonly used subspace methods for identification of l...
It has been experimentally verified that most commonly used subspace methods for identification of l...
: We give a general overview of the state-of-the-art in subspace system identification methods. We h...
Since the appearance of the first results on subspace system identification in the literature differ...
We give a general overview of the state-of-the-art in subspace system identification methods. We hav...
We give a general overview of the state-of-the-art in subspace system identification methods. We hav...
So called subspace methods for direct identification of linear models in state space form have drawn...
So called subspace methods for direct identification of linear models in state space form have drawn...
Subspace algorithms that rely on robust numerical linear algebra are becoming increasingly important...
We present the basic notions on subspace identification algorithms for linear systems. These methods...
n an earlier paper ([SI), an algorithm has been introduced for identifying multivariable linear syst...
The main theme of this thesis is black-box mathematical modeling of discrete-time, finite-dimensiona...
Computer-aided control system design is usually based on linear time-invariant (LTI) state space mod...
It has been observed that identification of state-space models with inputs may lead to unreliable r...
So called subspace methods for direct identication of linear mod els in state space form have drawn ...
It has been experimentally verified that most commonly used subspace methods for identification of l...
It has been experimentally verified that most commonly used subspace methods for identification of l...
: We give a general overview of the state-of-the-art in subspace system identification methods. We h...
Since the appearance of the first results on subspace system identification in the literature differ...
We give a general overview of the state-of-the-art in subspace system identification methods. We hav...
We give a general overview of the state-of-the-art in subspace system identification methods. We hav...
So called subspace methods for direct identification of linear models in state space form have drawn...
So called subspace methods for direct identification of linear models in state space form have drawn...
Subspace algorithms that rely on robust numerical linear algebra are becoming increasingly important...
We present the basic notions on subspace identification algorithms for linear systems. These methods...
n an earlier paper ([SI), an algorithm has been introduced for identifying multivariable linear syst...
The main theme of this thesis is black-box mathematical modeling of discrete-time, finite-dimensiona...
Computer-aided control system design is usually based on linear time-invariant (LTI) state space mod...
It has been observed that identification of state-space models with inputs may lead to unreliable r...
So called subspace methods for direct identication of linear mod els in state space form have drawn ...