This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series …
L Xu, F Ding, X Zhang, Q Zhu - Systems & Control Letters, 2024 - Elsevier
Compared with the systems with white noise disturbances, the parameter identification of the systems with colored noises (ie, correlated noises) is more difficult. In this letter, we use the …
H Garnier - European Journal of control, 2015 - Elsevier
This paper discusses the importance and relevance of direct continuous-time system identification and how this relates to the solution for model identification problems in …
For many years, various methods for the identification and estimation of parameters in linear, discrete-time transfer functions have been available and implemented in widely available …
Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive Control …
A common problem in the context of linear parameter-varying (LPV) systems is how input- output (IO) models can be efficiently realized in terms of state-space (SS) representations …
In many control applications, it is attractive to describe nonlinear (NL) and time-varying (TV) plants by linear parameter-varying (LPV) models and design controllers based on such …
Y Zhao, B Huang, H Su, J Chu - Journal of process control, 2012 - Elsevier
This paper is concerned with identification of linear parameter varying (LPV) systems in an input–output setting with Box–Jenkins (BJ) model structure. Classical linear time invariant …
H Garnier, PC Young - International Journal of Control, 2014 - Taylor & Francis
The direct identification and estimation of continuous-time models from sampled data is now mature. This paper does not present any new methodology, nor does it compare the …