Block-oriented identification of Hammerstein/Wiener-models using the RLS-algorithm

Block-oriented identification of Hammerstein/Wiener-models using the RLS-algorithm

A new method for identifying Hammerstein/Wiener models is proposed, where the parameters of a piecewise linear characteristic and a linear transfer function are estimated by recursive least-squares (RLS). Using smooth validity functions and an adaptive algorithm for optimal partitioning of the local linear models an efficient and accurate model can be identified.

Identification of Block –oriented Models

Distributed Terrestrial Radiolocation Using the Rls Algorithm

This paper presents the development of two distributed terrestrial radiolocation algorithms that use range estimates derived from DS-CDMA waveforms. The first algorithm, which is RLS-based, is derived as the solution of an approximate least-squares positioning problem. This algorithm has the advantage of reduced computational complexity, compared with the EKF-based algorithm that is presented. ...

Online Identification Using RLS Algorithm and Kaczmarz’s Projection Algorithm for a Bioreactor Process

The control theory and automation technology is widely used in industries. Many control algorithms are based on the mathematical models of dynamic systems. Mathematical models and parameter estimation are basics for automatic control. A recursive least squares parameter estimation algorithms and Kaczmarz’s projection algorithm is applied based on ARMAX model and OE models. The estimated paramet...

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...