Data Driven Systems and Control Framework for Multiway Dynamical Systems

Abstract

The goal of the proposed research was to explore the use of multiway dynamical systems as a means to rigorously capture the interplay of function, structure and dynamics inherent in many complex systems such as those arising in biology, and to develop a systems and control framework for multiway dynamical systems analogous to classical multivariate control theory which relies on vector based state space representations.

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Document Details

Document Type
Technical Report
Publication Date
Oct 18, 2022
Accession Number
AD1230389

Entities

People

  • Amit Surana
  • Indika Rajapakse

Organizations

  • Board of Regents of the University of Michigan

Tags

Fields of Study

  • Computer science

Readers

  • Control Systems Engineering.
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design

Technology Areas

  • Space