Re-design of Smith predictor systems for performance enhancement

Qing Guo Wang, Qiang Bi, Yong Zhang

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


In this paper, a new design for Smith Predictor systems is presented. It employs a deliberately mismatched model to enhance performance over a perfectly matched system while using a simple primary controller. The design methodology is formulated in the frequency domain as an optimization problem and it turns out that an approximate solution can be obtained using the linear least squares method. To improve the performance further, a modified Smith Predictor system structure is also proposed, and it reduces the system into one involving second-order dynamics for the primary controller design. Illustrative simulation of several typical processes are included.

Original languageEnglish
Pages (from-to)79-92
Number of pages14
JournalISA Transactions
Issue number1
Publication statusPublished - 28 Feb 2000
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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