Designing Response Surface Model Based Run by Run Controllers: A Worse Case Approach

Designing Response Surface Model Based Run by Run Controllers: A Worse Case Approach

Title : Designing Response Surface Model Based Run by Run Controllers: A Worse Case Approach
Authors :
Patel, Nital S
Baras, John, S.
Conference : IEEE Transactions on Components Packaging and Manufacturing Technology Pt C: Manufacturing Vol. 19, No. 2, pp. 98-104
Date: April 01 - April 01, 1996

This paper presents a framework for carrying out run-by-run (RbR) control via a deterministic worst-case approach. In particular, the RbR controller developed tries to minimize the worst-case performance of the plant. This yields a methodology for handling uncertainty. A consequence of using the deterministic approach is that we no longer need any assumptions on the statistics of the noise. Rather, what we require is that the noise be bounded. Thus, we can also deal with non- Gaussian and correlated noise. We provide results comparing the performance of the controller to a recursive least squares (US) based controller.

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