Dynamical Systems and Control Theory Inspired by Molecular Biology

Abstract

This project aims to develop new concepts, theory, and algorithms for control and signal processing using ideas inspired by molecular systems biology. Cell biology provides a wide repertoire of systems that are strongly fault-tolerant, nonlinear, feedback-rich, and truly hybrid, while making effective use of highly heterogeneous sensing and actuation channels. Advances in genomic/proteomics and molecular systems biology research are continually adding detailed knowledge of such systems' architecture and operation, thus offering, in principle, a powerful source of inspiration for innovative solutions to problems of control and communication, sensor and actuator design, and systems integration.

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Document Details

Document Type
Technical Report
Publication Date
Oct 02, 2014
Accession Number
ADA611907

Entities

People

  • Eduardo D. Sontag

Organizations

  • Rutgers University–New Brunswick

Tags

Communities of Interest

  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Applied Mathematics
  • Biology
  • Change Detection
  • Closed Loop Systems
  • Computational Biology
  • Computational Science
  • Control Systems
  • Control Theory
  • Difference Equations
  • Differential Equations
  • Equations
  • Feedback
  • Partial Differential Equations
  • Synthetic Biology
  • Systems Biology

Fields of Study

  • Physics

Readers

  • Artificial Intelligence
  • Research Science/Academic Research
  • Robotics and Automation.

Technology Areas

  • Biotechnology