Simulated annealing procedure for on-line control with process dynamics

Shihyu Chou, Min Chiang Wang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

We study the problem of economic design for a control policy where the sampling interval (m) and control limit (d) are determined by minimizing the expected total quality costs. In this article, we propose a simulated annealing scheme applicable to an economic design for a control policy where the disturbances can follow the autoregressive integrated moving average (ARIMA) processes and obtain the optimum d and m. Numerical investigations are conducted for a system with a first-order dynamics subjected to an IMA (1,1), and an ARI (1,1) random disturbance. The performance of the proposed simulated annealing scheme is very promising and compares favorably to other methods.

Original languageEnglish
Pages (from-to)677-688
Number of pages12
JournalInternational Journal of Systems Science
Volume38
Issue number8
DOIs
Publication statusPublished - 2007 Jan
Externally publishedYes

Keywords

  • ARIMA process
  • Control policy
  • Expected quality cost
  • Simulated annealing
  • Taguchi's method

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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