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Adaptive methods for the simulation of multiscale fluid dynamic phenomena using vortex particle methods with applications to civil structures
(CIMNE, 2015)
Text en actes de congrés
Accés obertWind effects on long-span bridges and slender buildings constitute a major criterion during the design phase. These effects are very important in certain cases, be- cause they can lead to strong dynamic excitations of the ... -
Adaptive modality selection algorithm in robot-assisted cognitive training
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés obertInteraction of socially assistive robots with users is based on social cues coming from different interaction modalities, such as speech or gestures. However, using all modalities at all times may be inefficient as it can ... -
Adaptive modeling and numerical approximation for a simple example of multiscale hyperbolic relaxation system
(CIMNE, 2015)
Text en actes de congrés
Accés obertThe present work considers the mathematical and numerical analysis of a new adaptive goal-oriented strategy based on local hpm discontinuous Galerkin (DG) method (h for grid, p for accuracy of shape function and m ... -
Adaptive monitoring for autonomous vehicles using the HAFLoop architecture
(2021)
Article
Accés obertCurrent Self-Adaptive Systems (SASs) such as Autonomous Vehicles (AVs) are systems able to deal with highly complex contexts. However, due to the use of static feedback loops they are not able to respond to unanticipated ... -
Adaptive monitoring: A systematic mapping
(Elsevier, 2019-01)
Article
Accés obertContext: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems’ customization to re-composition, in different ... -
Adaptive motion planning for a mobile robot
(Universitat Politècnica de Catalunya / University of Oulu, 2012)
Projecte/Treball Final de Carrera
Accés obertHistorically, trapezoidal velocity profiles have been widely used to control engines. Nevertheless, the evolution of robots and their uses has led to the need of using smoother profiles, due to the demand of high precision ... -
Adaptive multi agent system for guiding groups of people in urban areas
(Springer, 2011)
Text en actes de congrés
Accés obertThis article presents a new approach for guiding a group of people using an adaptive multi agent system. For the simulations of the group of people we use social forces, with theses forces human motion is controlled ... -
Adaptive multilevel neuro-fuzzy model predictive control for drinking water networks
(2012)
Text en actes de congrés
Accés restringit per acord de confidencialitatThis paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for drinking ... -
Adaptive Multistage Vector Quantization
(1989)
Text en actes de congrés
Accés obertThe authors present a novel multiple-stage vector-quantization method that allows the adaptation of the quantizer to the signal to be coded. This adaptation is computationally very simple and is made with no increase in ... -
Adaptive neural network state predictor and tracking control for nonlinear time-delay systems
(2010-02)
Article
Accés restringit per política de l'editorialA new adaptive nonlinear state predictor (ANSP) is presented for a class of unknown nonlinear systems with input time-delay. A dynamical identification with neu- ral network (NN) is constructed to obtain NN weights and ... -
Adaptive nonlinear guidance law using neural networks applied to a quadrotor
(2019)
Text en actes de congrés
Accés obertThe NonLinear Guidance Law (NLGL) is a geometric algorithm commonly employed to solve the path following problem on different unmanned vehicles. NLGL is simple (does no depend on the model of the vehicle), effective and ... -
Adaptive nonlinear parameter estimation for a proton exchange membrane fuel cell
(Institute of Electrical and Electronics Engineers (IEEE), 2022-08)
Article
Accés obertParameter estimation is vital for modeling and control of fuel cell systems. However, the nonlinear parameterization is an intrinsic characteristic in the fuel cell models such that classical parameter estimation schemes ... -
Adaptive observer for switching linear parameter-varying (LPV) systems
(2014)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper, the problem of joint state and parameter estimation in switching Linear Parameter-Varying (LPV) systems is considered. The proposed solution relies on an adaptive observer, which is designed finding a solution ... -
Adaptive on-line software aging prediction based on machine learning
(IEEE Computer Society Publications, 2010)
Text en actes de congrés
Accés obertThe growing complexity of software systems is resulting in an increasing number of software faults. According to the literature, software faults are becoming one of the main sources of unplanned system outages, and have ... -
Adaptive on-the-fly molecular ribbons generation
(European Association for Computer Graphics (Eurographics), 2015)
Comunicació de congrés
Accés obertMolecular dynamics simulations are of key importance in the drug design field. One common used representation to visualize these simulations is the Ribbons representation, which gives to the expert a good overview of the ... -
Adaptive online parameter estimation algorithm of PEM fuel cells
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés obertSince most of fuel cell models are generally nonlinearly parameterized functions, existing modeling techniques rely on the optimization approaches and impose heavy computational costs. In this paper, an adaptive online ... -
Adaptive optical head for industrial vibrometry applications
(International Society for Photo-Optical Instrumentation Engineers (SPIE), 2011)
Text en actes de congrés
Accés restringit per política de l'editorialA self-mixing laser interferometer has been combined with a compact and robust optical system including an adaptive optical element in the form of a voltage controllable liquid lens. The use of the liquid lens enables the ... -
Adaptive optics control with multi-agent model-free reinforcement learning
(2022-01-14)
Article
Accés obertWe present a novel formulation of closed-loop adaptive optics (AO) control as a multi-agent reinforcement learning (MARL) problem in which the controller is able to learn a non-linear policy and does not need a priori ... -
Adaptive optics control with reinforcement learning: first steps
(Barcelona Supercomputing Center, 2021-05)
Text en actes de congrés
Accés obertWhen planar wavefronts from distant stars traverse the atmosphere, they become distorted due to the atmosphere’s inhomogeneous temperature distribution. Adaptive Optics (AO) is the field in charge of correcting those ... -
Adaptive optics multiphoton microscopy
(2010)
Text en actes de congrés
Accés obertWe have developed an adaptive optics multiphoton microscope. The multiphoton imaging system combines an ultrafast high-power laser, a scanning unit, a motorized Z-scan device and a photon-counting detector. The adaptive ...