Water at Hydrophobic Surfaces. The properties of water define the nature of life on this planet. When water encounters a hydrophobic surface - at the air/water interface, in contact with unreactive solids such as Teflon, or at an oil drop, our recent experiments indicate that the water dissociates more readily into protons and hydroxide ions - undergoes autolysis - than in bulk water. Furthermore, the hydroxide ions are preferentially adsorbed at the surface, giving it a negative charge. This pr ....Water at Hydrophobic Surfaces. The properties of water define the nature of life on this planet. When water encounters a hydrophobic surface - at the air/water interface, in contact with unreactive solids such as Teflon, or at an oil drop, our recent experiments indicate that the water dissociates more readily into protons and hydroxide ions - undergoes autolysis - than in bulk water. Furthermore, the hydroxide ions are preferentially adsorbed at the surface, giving it a negative charge. This project will test the generality and implications of this novel concept. The results will range across physics, chemistry, biology and their associated technologies, a consequence of the ubiquitous importance of water. Read moreRead less
Constrained Receding Horizon Control of Nonlinear Systems. Most real world control problems involve the design of strategies that
achieve performance goals in the presence of constraints on the system variables. Receding horizon control is a strategy that addresses this problem by directly optimising performance under the appropriate constraints. This project will address theoretical and computational issues associated with this methodology. The expected outcomes include:
* New finitely p ....Constrained Receding Horizon Control of Nonlinear Systems. Most real world control problems involve the design of strategies that
achieve performance goals in the presence of constraints on the system variables. Receding horizon control is a strategy that addresses this problem by directly optimising performance under the appropriate constraints. This project will address theoretical and computational issues associated with this methodology. The expected outcomes include:
* New finitely parameterised solutions for nonlinear systems.
* Implementations of reduced computational complexity.
* New insights into analytical properties of the methodology.
These outcomes are expected to add to Australian scientific recognition and to bring significant economic benefit to Australian industry.
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