Editorial: Continuous-time model identification

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Continuous-Time Identification

This chapter considers the problem of estimation of the transfer function of a continuous-time dynamic system in the presence of colored noise. Whereas parameter estimation can be made by means of a discrete-time maximum-likelihood algorithm, an operator transformation permits a continuous-time model parameterization. The method is useful in cases where it is important to estimate the coefficie...

متن کامل

Continuous-Time Identification

This chapter considers the problem of estimation of the transfer function of a continuous-time dynamic system in the presence of colored noise. Whereas parameter estimation can be made by means of a discrete-time maximum-likelihood algorithm, an operator transformation permits a continuous-time model parameterization. The method is useful in cases where it is important to estimate the coefficie...

متن کامل

Parameter Identification: Continuous Time

The purpose of this chapter is to present the design, analysis, and simulation of a wide class of algorithms that can be used for online parameter identification of continuous-time plants. The online identification procedure involves the following three steps. Step 1. Lump the unknown parameters in a vector θ∗ and express them in the form of the parametric model SPM, DPM, B-SPM, or B-DPM. Step ...

متن کامل

Continuous-time Identification Using Lqg-balanced Model Reduction

System identification of continuous-time model based on discrete-time data can be performed using a algorithm combining linear regression and LQGbalanced model reduction. The approach is applicable also to unstable system dynamics and it provides balanced models for optimal linear prediction and control.

متن کامل

Continuous-Time Model Identification of RF Power Amplifiers

The Radio Frequency Power Amplifier is the major source of the nonlinear distortion which affect the signal modulated in the Radiocommunication transmission system. To analyse and treat the distortion caused to the amplified signal, this paper presents the parameters estimation of a behavioral model. Based on baseband signals, this model includes a polynomial function representing AM/AM and AM/...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IET Control Theory & Applications

سال: 2011

ISSN: 1751-8644,1751-8652

DOI: 10.1049/iet-cta.2011.9043