Main adaptive control design approaches assume that a suitable dynamic model of the controlled process can be computed. In this way, recursive parameter estimation algorithms play can important role in tracking the time variant parameters of the process dynamic model. Thois paper describes the major algorithms used to compute the ttransfer function parameters of time varying ssssystems. The advantages and limitations of these techniques are illustrated by computing the parameters of a time varying discrete system, with known structure, under the presence of persistent and non-persistent information
Contribution presents delta models and their possibilities for recursive identification. It is discu...
Abstract. The problem of recursive estimation of a state of dynamic systems in the presence of time-...
Recursive state and parameter reconstruction is a well-established field in control theory. In the c...
Mechanisms for adapting models, filters, decisions, regulators, and so on to changing properties of ...
This thesis is about parameter estimation and control of time-varying stochastic systems. It can be ...
Abstract: The paper presents an implementation of a set of recursive algorithms and their modificati...
Les travaux présentés dans ce mémoire traitent de l'identification des systèmes dynamiques représent...
International audienceIn this paper, we extend convergence conditions for the parameter adaptation a...
This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic mod...
The paper outlines how improved estimates of time variable parameters in models of stochastic dynami...
The modulating functions method is a very effective method for parameter estimation of continuous-ti...
We propose a recursive algorithm for tracking a multi-dimensional time-varying parameter of a time s...
One approach to a recursive identification of continuous - time systems is described in this paper. ...
This paper solves the task of the associative control of an object, whose parameters are changing in...
2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the paramet...
Contribution presents delta models and their possibilities for recursive identification. It is discu...
Abstract. The problem of recursive estimation of a state of dynamic systems in the presence of time-...
Recursive state and parameter reconstruction is a well-established field in control theory. In the c...
Mechanisms for adapting models, filters, decisions, regulators, and so on to changing properties of ...
This thesis is about parameter estimation and control of time-varying stochastic systems. It can be ...
Abstract: The paper presents an implementation of a set of recursive algorithms and their modificati...
Les travaux présentés dans ce mémoire traitent de l'identification des systèmes dynamiques représent...
International audienceIn this paper, we extend convergence conditions for the parameter adaptation a...
This paper presents simple SIMULINK library for recursive parameter estimation of linear dynamic mod...
The paper outlines how improved estimates of time variable parameters in models of stochastic dynami...
The modulating functions method is a very effective method for parameter estimation of continuous-ti...
We propose a recursive algorithm for tracking a multi-dimensional time-varying parameter of a time s...
One approach to a recursive identification of continuous - time systems is described in this paper. ...
This paper solves the task of the associative control of an object, whose parameters are changing in...
2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the paramet...
Contribution presents delta models and their possibilities for recursive identification. It is discu...
Abstract. The problem of recursive estimation of a state of dynamic systems in the presence of time-...
Recursive state and parameter reconstruction is a well-established field in control theory. In the c...