| EPSRC Reference: |
EP/I017445/2 |
| Title: |
Evolving controllers and controlling evolution |
| Principal Investigator: |
Soyer, Professor O |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Department: |
School of Life Sciences |
| Organisation: |
University of Warwick |
| Scheme: |
Standard Research |
| Starts: |
01 August 2013 |
Ends: |
30 November 2014 |
Value (£): |
155,755
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| EPSRC Research Topic Classifications: |
| Computer Sys. & Architecture |
Control Engineering |
| Synthetic biology |
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| EPSRC Industrial Sector Classifications: |
| Pharmaceuticals and Biotechnology |
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Summary on Grant Application Form |
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Biological systems, in particular cellular interaction networks, display complex dynamics and widely-conserved structural features such as modularity and robustness. Many of the same dynamical and structural features are found in engineered systems and networks across a diverse range of industrial applications4 Crucially, however, although the end-results may in certain respects look very similar, the processes by which engineered and natural systems arrive at successful designs are very different - in engineering, modularity and robustness in a given system result from the use of formalised design processes (systems and control engineering); in biology, from the process of evolution. In this project, we propose to exploit synergies and bring about cross-fertilisation of tools and ideas between the fields of control theory and evolutionary theory to address the following specific questions: (1) What evolutionary pressures have given rise to robustness in biological systems? Have biological systems evolved primarily to be robust, or has robustness arisen as a by-product of other more important characteristics? (2) Is module-based design an optimal approach to the engineering of synthetic biological systems or are there alternatives? Are there key features of biological systems and mutational operators that evolution exploits as a design tool? (3) Is it possible to control evolution? Can we apply control engineering tools to the evolutionary process to generate synthetic biological systems with desired characteristics? (4) Are there evolutionary principles that can be used for designing better engineering systems? Can we combine evolutionary simulation with mathematical optimization to simultaneously evolve both the structure and parameter values of large networked control systems to optimally satisfy conflicting design criteria? We believe that even partial answers to these questions will lead to transformative research breakthroughs across the fields of systems biology, synthetic biology and systems and control engineering.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.warwick.ac.uk |