Add to ORKGBibliography: p. 82-83.Research supported by Grant ERDA-E(49-18)-2087.by Nils R. Sandell, Jr. and Khaled I. Yared
The problem of estimating parameters of dynamic systems is addressed in order to present the theoret...
In this paper we consider identification of multivariable linear systems using state-space models. A...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
This paper is concerned with the parameter estimation of a general class of nonlinear dynamic system...
This paper is concerned with the parameter estimation of a general class of nonlinear dynamic system...
In this paper we present a review of some recent results for identification of linear dynamic system...
Summarization: 1.Linear state-space model identification -- 2.Identification through the EM algorith...
The model parameters of linear state space models are typically estimated with maximum likelihood es...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
This paper presents a unified approach for the identification of linear state-space models from inpu...
In this paper we give an introductory survey on the theory of identification of (in general MIMO) li...
A detailed discussion of Markov parameters in system identification is given. Different forms of inp...
This paper examines the problem of estimating linear time-invariant state-space system models. In pa...
Abstract: Maximum likelihood (ML) estimation using Newton’s method in nonlinear state space models (...
The problem of estimating parameters of dynamic systems is addressed in order to present the theoret...
In this paper we consider identification of multivariable linear systems using state-space models. A...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
This paper is concerned with the parameter estimation of a general class of nonlinear dynamic system...
This paper is concerned with the parameter estimation of a general class of nonlinear dynamic system...
In this paper we present a review of some recent results for identification of linear dynamic system...
Summarization: 1.Linear state-space model identification -- 2.Identification through the EM algorith...
The model parameters of linear state space models are typically estimated with maximum likelihood es...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
This paper presents a unified approach for the identification of linear state-space models from inpu...
In this paper we give an introductory survey on the theory of identification of (in general MIMO) li...
A detailed discussion of Markov parameters in system identification is given. Different forms of inp...
This paper examines the problem of estimating linear time-invariant state-space system models. In pa...
Abstract: Maximum likelihood (ML) estimation using Newton’s method in nonlinear state space models (...
The problem of estimating parameters of dynamic systems is addressed in order to present the theoret...
In this paper we consider identification of multivariable linear systems using state-space models. A...
Identification criteria are presented for linear dynamic systems with and without process noise. Wit...