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
Feb 20, 2011
Accession Number
ADA549208

Entities

People

  • Eduardo D. Sontag

Organizations

  • Rutgers University–New Brunswick

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Biology
  • Cell Biology
  • Cell Physiological Processes
  • Chemistry
  • Computational Biology
  • Computational Science
  • Control Theory
  • Differential Equations
  • Engineering
  • Equations
  • Mathematics
  • Signal Processing
  • Synthetic Biology
  • Systems Biology
  • Systems Engineering

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Oncology
  • Robotics and Automation.

Technology Areas

  • Biotechnology