A dual approach to start-up of an adaptive predictive controller

Rui Neves-Silva, Nikolai Filatov, João M. Lemos, Heinz Unbehauen

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


This paper is concerned with the smoothing of start-up adaptation transients when controlling a priori unknown plants with an adaptive predictive control algorithm. The MUSMAR algorithm embodying an adaptive predictive controller relying on multiple models is considered. The approach followed consists of a dual modification of MUSMAR, including a bicriterial optimization which takes into account both the control objective and the parameter estimation criteria. The advantages of the proposed algorithm in what concerns reduction of the start-up adaptation transient are illustrated by experimental results obtained for the temperature control of a distributed solar collector energy plant.

Original languageEnglish
Pages (from-to)877-883
Number of pages7
JournalIEEE Transactions on Control Systems Technology
Issue number6
Publication statusPublished - 1 Nov 2005


  • Adaptive control
  • Dual control
  • Predictive control
  • Solar energy


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