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A model predictive control scheme to solve path-following problems for nonlinear systems subject to input and state constraints is proposed. Sufficient conditions which guarantee the stability of the proposed scheme are derived. Furthermore, it is discusse ...
An experimental study of the stability of the Rayleigh-Bénard-Poiseuille flow was performed in a large transverse aspect ratio channel. The onset for the transverse thermo-convective rolls was determined as a function of the Reynolds number for two differe ...
The consistency of certain identification methods for Linear Parameter Varying systems is considered. More precisely, methods for the identification of SISO input-output models are analysed. In order to perform a consistency analysis the application of erg ...
State estimation is a necessary component of advanced monitoring and control techniques, since these techniques often require information that is too expensive or impossible to obtain from direct measurements. The objective of estimation is the reconstruct ...
In this work we derive a theory of polariton condensation based on the theory of interacting Bose particles. In particular, we describe self-consistently the linear exciton-photon coupling and the exciton-nonlinearities, by generalizing the Hartree-Fock-Po ...
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The piezoelectric properties of 31-mode resonators of lead zirconate titanate ceramics under hydrostatic pressure from 0.1 to 325MPa were evaluated by a fitting method, in which mechanical loss was taken into account. Our results based on the fitting metho ...
Cortical neurons are often classified by current-frequency relationship. Such a static description is inadequate to interpret neuronal responses to time-varying stimuli. Theoretical studies suggested that single-cell dynamical response properties are neces ...
In the context of OD matrix estimation from traffic counts, we propose a new linearization of the network loading map that is superior to the usual proportional assignment in congested conditions. ...
The switching linear dynamical system (SLDS) is a popular model in time-series analysis. However, the complexity of inferring the state of the latent variables scales exponentially with the length of the time-series, resulting in many approximation strateg ...
Composability and deadlock-freedom are important properties that are stated for transactional memory (TM). Commonly, the Semantics of TM requires linearization of transactions. It turns out that linearization of transactions that have cyclic communication ...
