نتایج جستجو برای: Least Squares with Exponential Forgetting

تعداد نتایج: 9289347  

Journal: :Automatica 2021

We extend results of the recursive-least-squares-with-forgetting-factor identifier for single-input-single-output systems to multiple-output case by, under assumption persistence excitation, deriving corresponding minimized objective function and by showing exponential convergence estimation error.

2003
A. A. Beex James R. Zeidler

In a number of adaptive filtering applications, non-Wiener effects have been observed for the (normalized) leastmean-square algorithm. These effects can lead to performance improvements over the fixed Wiener filter with the same model structure, and are characterized by dynamic behavior of the adaptive filter weights. Here we investigate whether such non-Wiener effects can also occur in the rec...

2014
Elena M. Cimpoeşu Bogdan D. Ciubotaru Dan Ştefănoiu

This paper focuses on the use of parameter estimation techniques for the implementation of real-time Fault Detection and Diagnosis schemes. A detailed analysis of the nonrecursive and recursive Least Squares methods is given in the context of the system diagnosis problem, and a procedure for performing fault detection and identification for multivariable systems is proposed. An application exam...

2006
A. Lawrence ichard Johnson D. 3. Anderson

tions. Thus a viewpoint is presented here that suggests a broad category of well-behaved, This note demonstrates the exponential robust identification schemes. convergence of the recursive-least-squares-withWe begin by stating the RLSF output error forgetting (RLSF) type output error identifier algorithm and manipulating it to fit a general via the exponential stability of an associated, error ...

Journal: :SIAM Journal on Scientific Computing 2017

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2011
mohammad reza jafari karim salahshoor

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

Reza Kazemi Seyyed Esma'eel Mahmoudi Larimi

Control Systems such as Anti Lock Brake Systems (ABS) and Traction Control Systems (TCS) are vastly used in most vehicles as to enhance the safety of the systems. These systems have many virtues on controlling the dynamics of vehicles, but they only control the longitudinal dynamics of the vehicle directly and the lateral dynamics of vehicle is not controlled because they do not receive any fee...

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