Symmetrical behaviour of the covariance matrix and the positive-definite criterion are used to simplify identification of single-input/single-output systems using recursive least squares. Simulation results are obtained and these are compared with ordinary recursive least squares. The adaptive nature of the identifier is verified by varying the system parameters on convergence
A multi-iteration recursive identification algorithm is proposed and studied. The algorithm performs...
Contribution presents delta models and their possibilities for recursive system identification. It i...
A recursive algorithm for ARMA (autoregressive moving average) filtering has been developed in a com...
Abstract. To identify time-varying matrix parameter participating in ARMAX-model description, a new ...
This paper focuses on the recursive identification problems for a multivariate output-error system. ...
This paper focuses on the recursive identification problems for a multivariate output-error system. ...
This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic mod...
Reportedly, guaranteeing the controllability of the estimated system is a crucial problem in adaptiv...
Recursive system identification is an important problem in many advanced control techniques, such as...
Adaptive ARMA (X) modelling techniques are commonly used in adaptive signal processing and particula...
The present paper aims to present an entirely new approach for the development of "exact" recursive ...
This paper considers the problem of adaptive identification of IIR systems when the system output is...
Contribution presents delta models and their possibilities for recursive identification. It is discu...
This paper studies identification problems of two-input single-output controlled autoregressive movi...
To identify time-varying matrix parameter partici pating in ARMAX-model description, a new recur siv...
A multi-iteration recursive identification algorithm is proposed and studied. The algorithm performs...
Contribution presents delta models and their possibilities for recursive system identification. It i...
A recursive algorithm for ARMA (autoregressive moving average) filtering has been developed in a com...
Abstract. To identify time-varying matrix parameter participating in ARMAX-model description, a new ...
This paper focuses on the recursive identification problems for a multivariate output-error system. ...
This paper focuses on the recursive identification problems for a multivariate output-error system. ...
This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic mod...
Reportedly, guaranteeing the controllability of the estimated system is a crucial problem in adaptiv...
Recursive system identification is an important problem in many advanced control techniques, such as...
Adaptive ARMA (X) modelling techniques are commonly used in adaptive signal processing and particula...
The present paper aims to present an entirely new approach for the development of "exact" recursive ...
This paper considers the problem of adaptive identification of IIR systems when the system output is...
Contribution presents delta models and their possibilities for recursive identification. It is discu...
This paper studies identification problems of two-input single-output controlled autoregressive movi...
To identify time-varying matrix parameter partici pating in ARMAX-model description, a new recur siv...
A multi-iteration recursive identification algorithm is proposed and studied. The algorithm performs...
Contribution presents delta models and their possibilities for recursive system identification. It i...
A recursive algorithm for ARMA (autoregressive moving average) filtering has been developed in a com...