SysIDLib: a high-level synthesis FPGA library for online system identification
Abstract Model accuracy is the most important step towards efficient control design. Various
system identification techniques exist which are used to estimate model parameters.
However, these techniques have their merits and demerits which need to be considered
before selecting a particular system identification technique. In this paper, various system
identification techniques as the Kalman filter (EKF), recursive least square (RLS) and least
mean square (LMS) filters are used to estimate the parameters of linear (DC motor) and …
system identification techniques exist which are used to estimate model parameters.
However, these techniques have their merits and demerits which need to be considered
before selecting a particular system identification technique. In this paper, various system
identification techniques as the Kalman filter (EKF), recursive least square (RLS) and least
mean square (LMS) filters are used to estimate the parameters of linear (DC motor) and …
SysIDLib: a high-level synthesis FPGA library for online system identification
M Elshimy, M Abd El Ghany… - Proceedings of Applied …, 2020 - books.google.com
Model accuracy is the most important step towards efficient control design. Various system
identification techniques exist which are used to estimate model parameters. However,
these techniques have their merits and demerits which need to be considered before
selecting a particular system identification technique. In this paper, various system
identification techniques as the Kalman filter (EKF), recursive least square (RLS) and least
mean square (LMS) filters are used to estimate the parameters of linear (DC motor) and …
identification techniques exist which are used to estimate model parameters. However,
these techniques have their merits and demerits which need to be considered before
selecting a particular system identification technique. In this paper, various system
identification techniques as the Kalman filter (EKF), recursive least square (RLS) and least
mean square (LMS) filters are used to estimate the parameters of linear (DC motor) and …
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