In this work a block parameter estimation method for linear periodically time-varying systems is discussed. The whole work consists of two parts: theoretical and practical. The theoretical part is based on the description of the model, its creation and structure. Furthermore, Markov estimation or an estimation of the least squares generalized method and the description of the generalized model are described in this work. The practical part is devoted to carrying out of the experiments and their description. The experiments of modeling have been performed using MATLAB program. In addition, the functions matrica, period were created and used to do the estimations. The results of the experiments are illustrated in charts and diagrams. Finally...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
International audienceA strategy is proposed to model the complex industrial systems using linear ti...
Very preliminary draft: comments welcome, please do not quote without permission of authors. We prop...
In this work are discussed a block parameter estimation method for linear periodically time varying ...
Abstract. This paper discusses the linear periodically time-varying (LPTV) system parameter es-timat...
For periodic time-varying systems, a method of parameter identification based on the block-pulse fun...
Šiame darbe išnagrinėtas tiesinių sistemų parametrų įvertinimo metodas. Visas darbas susideda iš dvi...
This paper discusses the problem of choosing the optimal block length for two block bootstrap method...
A linear periodically time-varying (LPTV) system is a linear time-varying system with the coefficien...
Subsampling of a linear periodically time-varying system results in a collection of linear time-inva...
Discrete-time linear periodically time-varying (LPTV) systems, considered as a bridge between the we...
The estimation problem of slowly time-varying parameter matrices is considered for bilinear discrete...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
A time domain input estimation algorithm for linear systems with general time-varying parameters is ...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
International audienceA strategy is proposed to model the complex industrial systems using linear ti...
Very preliminary draft: comments welcome, please do not quote without permission of authors. We prop...
In this work are discussed a block parameter estimation method for linear periodically time varying ...
Abstract. This paper discusses the linear periodically time-varying (LPTV) system parameter es-timat...
For periodic time-varying systems, a method of parameter identification based on the block-pulse fun...
Šiame darbe išnagrinėtas tiesinių sistemų parametrų įvertinimo metodas. Visas darbas susideda iš dvi...
This paper discusses the problem of choosing the optimal block length for two block bootstrap method...
A linear periodically time-varying (LPTV) system is a linear time-varying system with the coefficien...
Subsampling of a linear periodically time-varying system results in a collection of linear time-inva...
Discrete-time linear periodically time-varying (LPTV) systems, considered as a bridge between the we...
The estimation problem of slowly time-varying parameter matrices is considered for bilinear discrete...
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
A time domain input estimation algorithm for linear systems with general time-varying parameters is ...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
International audienceA strategy is proposed to model the complex industrial systems using linear ti...
Very preliminary draft: comments welcome, please do not quote without permission of authors. We prop...