The Design of Dynamical Inquiring Systems: A Certainty Equivalent Formalization

  • Laura Di Giacomo
  • Giacomo Patrizi
Part of the Springer Optimization and Its Applications book series (SOIA, volume 61)


Dynamical systems include measuring sensor inputs of phenomena to yield accurate predictions of the evolving sensor outputs or to determine optimal control management policies based on sensor data. The input and output sets of the system may be generalized and transformed with respect to the sets of sensors available and formal deductive methods and chaos theory may be formulated to obtain Dynamical Inquiring Systems over a horizon to yield solutions which will be precise and be certainty equivalent to the future results of the phenomenon.The aim of this chapter is to present a formalization of Mathematical Systems Theory to demonstrate the theoretical basis of nonlinear dynamical chaotic systems solved by simultaneous estimation and optimal control processes and to present accurate predictions based on generalized sensor data of many forms both in input and output such as dynamic malfunctioning of systems including engineering, medical, economic, and environmental inquiring systems.


Complementarity Problem Linear Complementarity Problem Nonlinear Complementarity Problem Certainty Equivalent Alport Syndrome 
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 Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Dipartimento di StatisticaSapienza Universita’ di RomaRomaItaly

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