Parameters Recursive Identification of Minimum Variance Control

Zhi Hua Dai; Yu An Pan; Jie Yao

doi:10.4028/www.scientific.net/AMM.347-350.15

Paper Titles

Preface

Research on a Fuzzy Choice Function in Multi-Objective Fuzzy Decision
p.3

Solution of Inverse Kinematics of a 6R Serial Robot
p.7

Simulation on Networked Munitions System Control with Time Delay
p.11

Parameters Recursive Identification of Minimum Variance Control
p.15

Researches of Pressure Measurement Method in Vacuum Environment
p.19

One Kind of Data Acquisition System Used in PC104 Embedded Navigation Computer
p.24

A Signal Acquisition and Failure Alarm System of Combine Harvester Based on Touch Screen Technology
p.28

Research of the Liquid Level Detection System for Integral Stereolithography System
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Parameters Recursive Identification of Minimum...

Parameters Recursive Identification of Minimum Variance Control

Abstract:

we discuss the problem of parameters recursive identification and designing of optimal input signal for minimum variance control from the point of system identification. we propose multi-innovation recursive least-squares identification method and separable iterative recursive least-squares identification method to identify and estimate it on line. Finally, the efficiency and possibility of the proposed strategy can be confirmed by the simulation example results.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

15-18

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.15

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Online since:

August 2013

Authors:

Zhi Hua Dai, Yu An Pan, Jie Yao

Keywords:

Minimum Variance Control, Multi-Innovation Recursive, Separable Iterative Recursive

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