Efficient Operation of Bioreactors using Nonlinear Dynamical Systems Theory. Current methods of determining optimal operating conditions in bioreactors have recently been shown to be inefficient, resulting in serious omissions of crucial parameter regions. We will use mathematical techniques from dynamical systems theory to establish a general framework by which bioreactor systems can be efficiently and systematically investigated to improve reactor performance. By communicating these results at ....Efficient Operation of Bioreactors using Nonlinear Dynamical Systems Theory. Current methods of determining optimal operating conditions in bioreactors have recently been shown to be inefficient, resulting in serious omissions of crucial parameter regions. We will use mathematical techniques from dynamical systems theory to establish a general framework by which bioreactor systems can be efficiently and systematically investigated to improve reactor performance. By communicating these results at relevant fora, we will increase the awareness within the Australian and international engineering communities of the advantages of modern mathematical techniques. Although this proposal focuses on bioreactors, the techniques can be easily adapted to improve the performances of other chemical processes.
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Extremum seeking control: analysis, design and applications. Optimal control is one of the central pillars in the field of automatic control, but is prevented from use in many engineering applications due to the computational complexity and system knowledge requirements typically associated with the technique. Extremum seeking promises the performance of an optimal approach, but with the benefit of real time implementation and very relaxed requirements on the system knowledge. Through improved u ....Extremum seeking control: analysis, design and applications. Optimal control is one of the central pillars in the field of automatic control, but is prevented from use in many engineering applications due to the computational complexity and system knowledge requirements typically associated with the technique. Extremum seeking promises the performance of an optimal approach, but with the benefit of real time implementation and very relaxed requirements on the system knowledge. Through improved understanding of extremum seeking algorithms, applications from vehicle dynamics to emissions reduction to manufacturing processes will benefit with greater levels of performance and robustness.Read moreRead less
Real time optimisation by extremum seeking control and learning control. Optimal control technology provides the systematic design of systems that exhibit optimal behaviour, such as maximal productivity, best efficiency, minimal cost and best quality. Real time optimisation finds the solution of the optimal control in real time, relaxing requirements on the system knowledge. The proposed research will build on Australia's well-established strength in control and optimisation, and aim to establis ....Real time optimisation by extremum seeking control and learning control. Optimal control technology provides the systematic design of systems that exhibit optimal behaviour, such as maximal productivity, best efficiency, minimal cost and best quality. Real time optimisation finds the solution of the optimal control in real time, relaxing requirements on the system knowledge. The proposed research will build on Australia's well-established strength in control and optimisation, and aim to establish within Australia world-leading expertise in real time optimisation theories and applications. This will have direct benefits to the Australian economy through various engineering applications ranging from vehicle dynamics to emissions reduction to manufacturing process to efficiency improvement of power generation systems.Read moreRead less