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Many real world applications require automatic control. This chapter addresses genetic algorithms to achieve the control, based on their numerous advantages for the difficult problems. First of all a unitary approach of the control through the perspective of the systems theory is presented. There are described examples of control in biology, econom...
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We discuss connections between sequential system identification and control for linear time-invariant systems, which we term indirect data-driven control, as well as a direct data-driven control approach seeking an optimal decision compatible with recorded data assembled in a Hankel matrix and robustified through suitable regularizations. We formul...
Citations
Recently various intelligent techniques, for example neural network computing,
fuzzy reasoning, genetic algorithms, etc., have been developed in theories and
practice, also applied to many intelligent systems all over the world. This volume is
titled “New Approaches in Intelligent Control” and introduces some new approaches
in intelligent control area from both the viewpoints of theory and application,
which consists of 11 contributed chapters by prominent authors from all over the
world including this introductory chapter. This volume also divides one dual side
with another volume titled “New Approaches in Image Analysis” (Eds. Roumen
Kountchev and Kazumi Nakamatsu). Each chapter in this volume constitutes one
self-contained monograph, and includes summary, conclusion and future works in
terms of its main themes. Some of the chapters introduce specific case studies of
various intelligent control systems and others focus on intelligent theory based
control techniques with small applications. The most remarkable specificity of this
volume is that the last three chapters deal with intelligent control based on paraconsistent
logics.
