A geometric framework for constraints and data: from linear systems to convex processes

Jaap Eising

Research output: ThesisThesis fully internal (DIV)

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In part one of this thesis we develop the theory of analyis of convex processes. The results of this development can be directly applied to the analysis of discrete time, linear, time-invariant mathematical systems with conic constraints. Such constraints arise from physical properties of natural phenomena, and hence it is important that these are considered in the mathematical models thereof. In part two we focus determining whether a system has a given system theoretic property on the basis of measured data. For this, we develop the informativity framework, which allows us to consider and resolve a large number of such problems.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Groningen
  • Camlibel, Kanat, Supervisor
  • Trentelman, Harry, Supervisor
Award date3-Sep-2021
Place of Publication[Groningen]
Publication statusPublished - 2021

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