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On extremum seeking in bioprocesses with multivalued cost functions
Georges Bastin1, Dragan Nesić, Ying Tan
1Center for Systems Engineering and Applied Mechanics, Dept.of Mathematical Engineering, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium. bastin@inma.ucl.ac.be
This study introduces a non-model-based control method to optimize bioprocesses for competing objectives like yield and productivity. The approach ensures practical stability and convergence, even for complex processes with multiple states.
Area of Science:
- Bioengineering
- Control Theory
- Biotechnology
Background:
- Optimizing bioprocess operating modes is crucial in bioengineering.
- Simultaneous optimization of competing objectives (e.g., yield vs. productivity) presents significant challenges.
Purpose of the Study:
- To develop a method for finding optimal steady states in bioprocesses.
- To achieve the best tradeoff between yield and productivity using a novel control strategy.
Main Methods:
- Application of non-model-based extremum-seeking control.
- Ensuring semiglobal practical stability and convergence properties.
- Addressing processes with multiple steady states and multivalued cost functions.
Main Results:
- Successful identification of optimal operating points balancing competing objectives.
- Demonstrated effectiveness of the extremum-seeking control strategy.
- Robustness shown for complex bioprocesses.
Conclusions:
- The proposed non-model-based extremum-seeking control is effective for bioprocess optimization.
- This method offers a practical solution for balancing yield and productivity tradeoffs.
- The approach is suitable for complex bioprocesses with challenging characteristics.
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