Vulnérabilité sismique à grande échelle de la ville de Lausanne
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The desire to operate chemical processes in a safe and economically optimal way has motivated the development of so-called real-time optimization (RTO) methods [1]. For continuous processes, these methods aim to compute safe and optimal steady-state set ...
An optimization based algorithm is proposed for solving elliptic problems with highly oscillatory coecients that do not exhibit scale separation in a subregion of the physical domain. The given method, written as a constrained minimization problem couples ...
The recent re-assessment of the seismic hazard in Europe led for many regions of low to moderate seismicity to an increase in the seismic demand. As a consequence, several modern unreinforced masonry (URM) buildings, constructed with reinforced concrete (R ...
Learning motion control as a unified process of designing the reference trajectory and the controller is one of the most challenging problems in robotics. The complexity of the problem prevents most of the existing optimization algorithms from giving satis ...
The project consisted of two goals: to design and fabricate SAW sensors on lithium niobate chips with the best resolution photolithography in CMi and to study as many different devices as possible during the first fabrication runs to find the best layouts ...
While rule based control (RBC) is current practice in most building automation systems that issue discrete control signals, recent simulation studies suggest that advanced, optimization based control methods such as hybrid model predictive control (HMPC) c ...
Subsequently to the verification of certain limits in the general practice of temporary structures for events, the research project "On STAGE" (sustainable temporary arenas for gigs and events) entails developing an integrated alternative regarding improve ...
Seismic verification of existing buildings in Switzerland is currently assessed by the pre-standard 2018. In the seismic evaluation of existing buildings in that document, a minimal acceptable seismic safety must be verified, as well as proportional level ...
Many state-of-the-art approaches for Multi Kernel Learning (MKL) struggle at finding a compromise between performance, sparsity of the solution and speed of the optimization process. In this paper we look at the MKL problem at the same time from a learning ...
Many state-of-the-art approaches for Multi Kernel Learning (MKL) struggle at finding a compromise between performance, sparsity of the solution and speed of the optimization process. In this paper we look at the MKL problem at the same time from a learning ...
