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The problem of swinging up an inverted pendulum on a cart and controlling it around the upright position has traditionally been treated as two separate problems. This paper proposes a control strategy that is globally asymptotically stable under actuator s ...
This article describes a bounding approximation scheme for convex multistage stochastic programs (MSP) that constrain the conditional expectation of some decision-dependent random variables. Expected value constraints of this type are useful for modelling ...
The multiscale finite-volume (MSFV) method has been derived to efficiently solve large problems with spatially varying coefficients. The fine-scale problem is subdivided into local problems that can be solved separately and are coupled by a global problem. ...
Ionic liquids pose challenges and provide solutions for electrospray ionisation mass spectrometry (ESI-MS). Being inherently charged, they are themselves easy to characterise in both positive- and negative-ion mode by ESI-MS, but the challenge arises when ...
American Chemical Soc, Distribution Office, Dept 225, 1155 16Th St Nw, Washington, Dc 20036 Usa2009
The integration of steam cycles in the power plant industry aims at optimizing the conversion of the available heat into mechanical power. The proposed method uses process integration techniques and a multi-objective optimisation procedure to generate opti ...
Aidic Servizi Srl, Via Giuseppe Colombo 81/A, Milano, Mi 20133, Italy2009
In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework that allows the consideration of operational constraints within a Column Gen ...
The articulation of practice and theory is a central problematic in a dual apprenticeship system that combines working in a company and attending courses at school. Design problems are proposed by teachers as a way to address theoretical concepts in a prac ...
Constraint satisfaction has been a very successful paradigm for solving problems such as resource allocation and planning. Many of these problems pose themselves in a context involving multiple agents, and protecting privacy of information among them is of ...
We present a multilevel extension of the popular "thresholded Landweber" algorithm for wavelet-regularized image restoration that yields an order of magnitude speed improvement over the standard fixed-scale implementation. The method is generic and targete ...
Derivative-free optimization involves the methods used to minimize an expensive objective functionwhen its derivatives are not available. We present here a trust-region algorithmbased on Radial Basis Functions (RBFs). The main originality of our approach i ...