• João M. LemosEmail author
  • Rui Neves-Silva
  • José M. Igreja
Part of the Advances in Industrial Control book series (AIC)


A road map of the DCSF adaptive control algorithms is draw. This road map summarizes the main advantages and disadvantages of the different algorithms, and relates them to the degree of plant structure that is embedded in the models that underly their design. For algorithms that rely on models that embed more DCSF knowledge, the resulting performance is bigger but the capacity of applying them to different plants with just minor modifications is greatly reduced. Although illustrated in this book for DCSF control, the idea of designing control for processes that involve transport phenomena by making a change of the time variable associated to flow is a major point. In addition to these points, Chap.  discusses the importance of adaptive control of DCSFs in relation to the wider context of renewable energy production and energy markets with fast changing prices. It is remarked that the adaptive control algorithms addressed in this book may also be envisaged as basic building blocks of wider, distributed, systems, in the context of a Cyber-Physical Systems Approach. Finally, the boundary conditions of the book are established by remembering important related topics that are outside the scope of the book.


Adaptive Control Adaptive Controller Manipulate Variable Local Controller Renewable Energy Production 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • João M. Lemos
    • 1
    Email author
  • Rui Neves-Silva
    • 2
  • José M. Igreja
    • 3
  1. 1.INESC-ID ISTUniversity of LisbonLisboaPortugal
  2. 2.FCTNew University of LisbonCaparicaPortugal
  3. 3.Institute of Engineering of LisbonLisboaPortugal

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