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A predictive optimal control system for micro-cogeneration in domestic applications has been developed. This system aims at integrating stochastic inhabitant behavior and meteorological conditions as well as modelling imprecisions, while defining operation ...
In this work, we propose the use of optical pulse coding techniques for simultaneous strain and temperature sensing based on spontaneous Brillouin scattering. Optical pulse coding provides a significant receiver signal-to-noise ratio enhancement, allowing ...
A predictive optimal control system for micro-cogeneration in domestic applications has been developed. This system aims at integrating stochastic inhabitant behavior and meteorological conditions as well as modeling imprecisions, while defining operation s ...
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This presentation show the successful usage of LabVIEW on the Mac with a specific focus on control solutions. First, 15 years of control solutions with LabVIEW on the Mac are reviewed. Then it presents current DAQmx base solutions, using as an example a Sp ...
In this paper we present methodologies for improving the demand-responsiveness of air transportation systems. The main ingredients are the flexibility in transportation capacity provided by an innovative aircraft and an integrated model where supply-demand ...
We consider the class of piecewise affine optimal state feedback control laws applied to discrete-time piecewise affine systems, motivated by recent work on the computation of closed-form MPC controllers. The storage demand and complexity of these optimal ...
This paper studies the problem of demand driven employee scheduling for direct-sales retail outlets. The demand for sales personnel during each half hour is predicted a week in advance based on previous recorded data and the problem of computing an optimal ...
This paper is concerned with input adaptation in dynamic processes in order to guarantee feasible and optimal operation despite the presence of uncertainty. For optimal control problems having terminal constraints, two sets of directions can be distinguish ...
This paper addresses a multiprocessor generalization of the preemptive open-shop scheduling problem. The set of processors is partitioned into two groups and the operations of the jobs may require either single processors in either group or simultaneously ...
This paper presents a method to learn arbitrary discrete motions from a set of demonstrations. We model a motion as a nonlinear autonomous (i.e. time-invariant) dynamical system, and define the sufficient conditions to make such a system globally asymptoti ...
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