A Rubidium Clock Taming Algorithm Based on Modified Grey Model and PID Control

The complexity of sea environment and the uncertainty of AUV model lead to difficulties of heading control. It is difficult to satisfy its requirement for high accuracy and fast speed through the use of a single control method, based on the peculiarity of AUV and the existing problem of control, We propose a fuzzy-PID control method based on a grey model, which combines fuzzy control with PID control, Our simulations confirm that our method provides higher robustness and adaptive property than regular PID, it is suitable for the use of AUV in complexity sea environment.

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Automation of Process Control in Chemical Plant

ACMIT Proceedings ◽

10.33555/acmit.v2i1.3 ◽

2015 ◽

Vol 2 (1) ◽

pp. 6-12

Author(s):

Agus Sugiarta ◽

Houtman P. Siregar ◽

Dedy Loebis

Keyword(s):

Process Control ◽

Pid Control ◽

Control Algorithm ◽

Chemical Engineering ◽

Chemical Plant ◽

Raw Material ◽

Flow Rates ◽

Material Supply ◽

Wide Range ◽

Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

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Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

Journal of Business and Economics ◽

10.15341/jbe(2155-7950)/09.10.2019/006 ◽

2019 ◽

Vol 10 (9) ◽

pp. 852-860

Author(s):

Mahmoud Elsayed ◽

◽

Amr Soliman ◽

Keyword(s):

System Theory ◽

Grey System Theory ◽

Insurance Market ◽

Grey Model ◽

Loss Ratio ◽

Grey System ◽

Mathematical Technique ◽

Supervisory Authority ◽

Error Ratio ◽

Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

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