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Ara es mostren els items 9970-9989 de 245820
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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 ... -
Adaptive optics multiphoton microscopy to study ex vivo ocular tissues
(2010)
Article
Accés restringit per política de l'editorialWe develop an adaptive optics (AO) multiphoton microscope by incorporating a deformable mirror and a Hartmann-Shack wavefront sensor. The AO module operating in closed-loop is used to correct for the aberrations of the ... -
Adaptive optics without wave-front sensor using the APHEFIS (Adaptive Optics by Phase Estimation from Focal Intensity Speckles) algorithm
(Universitat Politècnica de Catalunya, 2012-07-19)
Projecte/Treball Final de Carrera
Accés obert[ANGLÈS] Compensation of the distorsions introduced to the optical wavefronts by the atmosphere using the algorithm APHEFIS, developed by Dr. Dirk Giggenbach. -
Adaptive packet scheduling for the support of QoS over DVB-S2 satellite systems
(Springer Verlag, 2011)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper presents an adaptive algorithm for managing the weights of a weighted round robin (WRR) scheduler. The weights calculation depends on the capacity variations present in a Digital Video Broadcasting-Second ... -
Adaptive parameter estimation-based observer design for nonlinear systems
(2020)
Text en actes de congrés
Accés obertIn this paper, alternative adaptive observers are developed for nonlinear systems to achieve state observation and parameter estimation of nonlinear systems simultaneously. The proposed observers are derived from the ... -
Adaptive parameter-free learning from evolving data streams
(2009-03)
Report de recerca
Accés obertWe propose and illustrate a method for developing algorithms that can adaptively learn from data streams that change over time. As an example, we take Hoeffding Tree, an incremental decision tree inducer for data streams, ... -
Adaptive phase-field modeling of fracture in orthotropic composites
(2023-11-15)
Article
Accés restringit per política de l'editorialAn adaptive phase-field method is developed and applied to model fracture propagation in orthotropic composites. The proposed approach extends the work of Muixí et al. (2020) to orthotropic composites through following ... -
Adaptive phase-field modeling of heterogeneous materials
(Universitat Politècnica de Catalunya, 2023-06)
Treball Final de Grau
Accés obertComprendre el comportament de les fractures és crucial per optimitzar el disseny d'estructures i components d'enginyeria, des de les infraestructures civils fins als components d'aeronaus. El model "phase-field" s'ha tornat ...