Parameter identification of servo-pneumatic position control system utilizing least square estimate (LSE) approach
This project focused on the parameter identification of Servo-Pneumatic Position Control System (SPPCS) utilizing Least Square Estimate (LSE) approach. The obtained mathematical is analyzed in terms of transient and steady-state response. Presented method is based on the transfer function estimation...
Main Author: | Nur’iffah, Mohamed Azmi |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/1957/1/PARAMETER%20IDENTIFICATION%20OF%20SERVO-PNEUMATIC%20POSITION.pdf |
Similar Items
-
Comparing least-squares and goal programming estimates of linear regression parameter.
by: Ahmad, Maizah Hura, et al.
Published: (2005) -
Self-tuning hybrid fuzzy sliding surface control for pneumatic servo system positioning
by: Mohd Iskandar Putra, Azahar, et al.
Published: (2021) -
Nonlinear least squares parameter estimation problem using Levenberg-Marquardt method
by: Kaw, Wei Ching, et al.
Published: (2017) -
Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model
by: Karimi, Mostafa, et al.
Published: (2019) -
Parameter estimation of tapioca starch hydrolysis process: application of least squares and genetic algorithm
by: Rashid, Roslina, et al.
Published: (2005)