Reduced order control in microchemical systems

Leonidas G. Bleris, Mayuresh V. Kothare

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper we examine the problem of regulation of thermal transients in a microsystem. Using second-order statistical properties we obtain the dominant structures that characterize the dynamics of an ensemble of data. These dominant structures, otherwise called empirical eigenfunctions, are the most efficient way of capturing the dynamics of an infinite dimensional process with a finite number of modes. We propose a new receding horizon boundary control scheme using these empirical eigenfunctions in a constrained optimization procedure to track a desired spatiotemporal profile. Additionally we consider a disturbance rejection problem. Finite element method simulations of heat transfer are provided and used in order to implement and test the performance of the controller.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Number of pages6
StatePublished - 2004
Externally publishedYes
EventProceedings of the 2004 American Control Conference (AAC) - Boston, MA, United States
Duration: Jun 30 2004Jul 2 2004


OtherProceedings of the 2004 American Control Conference (AAC)
Country/TerritoryUnited States
CityBoston, MA

ASJC Scopus subject areas

  • Control and Systems Engineering


Dive into the research topics of 'Reduced order control in microchemical systems'. Together they form a unique fingerprint.

Cite this