Objective
In many applications, systems include both continuous and discrete components, discrete characteristics being also often introduced by the control system or its specifications. Such systems are commonly referred to as 'hybrid systems', and their understanding is rather limited at present. In practice, the control of hybrid systems is left to schemes based on heuristics rules deduced from practical plant operations. The aim of this work is to investigate the field of 'Mixed Logic Dynamical' systems, which seem an appropriate tool to model hybrid systems, then to examine related problems such as control, estimation and verification. Some current ideas for control and estimation are based on receding horizon predictive control and moving horizon state estimation. The 'three repositories system' was chosen M an implementation for the hybrid systems theory and the 'Mixed Logical Dynamical' models, because this case study can provide the necessary complexity for a simulation purpose. Starting from the theoretical results in Part 1, the aim of this work was to modify the simulations in order to feet a real case, a case of agricultural water management with three irrigation lakes. The objective wag to verify the opportunity of a control philosophy for the levels of the lakes based on the hybrid model. This can be further extended to more complex systems in water resources modeling, giving the chance of using flexible control laws in the management process, Taking into account the high computational load, a special attention was given to the optimization routine with the objective in finding a competitive methodology of solving 'Mixed Integer Quadratic Problems', the type of problem that is encountered In the predictive law for hybrid system in MLD form.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- natural sciences earth and related environmental sciences hydrology
- engineering and technology environmental engineering natural resources management water management
- natural sciences computer and information sciences artificial intelligence heuristic programming
- social sciences law
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
91192 GIF SUR YVETTE
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.