R. Araújo

发表

Real-Time Tracking of Multiple Moving Objects Using Particle Filters and Probabilistic Data Association

A. Almeida, J. Almeida, R. Araújo, 2005 .

Prune-Able Fuzzy ART Neural Architecture for Robot Map Learning and Navigation in Dynamic Environments

Rui Araújo, R. Araújo, 2006, IEEE Transactions on Neural Networks.

Learning Multiresolution Maps in Dynamic Worlds

A. T. Almeida, R. Araújo, D. lourenco, 2022 .

Applications of information theory, genetic algorithms, and neural models to predict oil flow

Herman Augusto Lepikson, Leizer Schnitman, Urbano Nunes, 2009 .

VARIABLE SELECTION BASED ONMUTUAL INFORMATION FOR SOFT SENSORS APPLICATIONS

R. Araújo, F. Souza, S. Soares, 2010 .

Semantic Place Labeling Using a Probabilistic Decision List of AdaBoost Classifiers

R. Araújo, S. Soares, 2014 .

Pic Trigger Pic Motor Pic Encoder Pic Joystick Embedded PC

Ana C. Lopes, R. Araújo, U. Nunes, 2022 .

Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm

Rui Araújo, Jérôme Mendes, Tiago Matias, 2014, Eng. Appl. Artif. Intell..

Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models

Rui Araújo, Ricardo Silva The Pontes, Francisco Souza, 2015, Int. J. Comput. Intell. Appl..

A New Robust Control Scheme For LTV Systems Using Output Integral Discrete Synergetic Control Theory

R. Araújo, Saeid Rastegar, Alireza Emami, 2022 .

FUZZY CONTROL ARCHITECTURE FOR INDUSTRIAL SYSTEMS

R. Araújo, Jérôme Mendes, P. Sousa, 2022 .

A robust algorithm for a class of optimal control problems subject to regional stability constraints and disturbances

R. Araújo, Saeid Rastegar, 2013 .

Towards intelligent machines: theories, technologies and experiments

Lino Marques, Urbano Nunes, Rui Araújo, 2000 .

On-line sequential extreme learning machine based on recursive partial least squares

Rui Araújo, Tiago Matias, Joao P. Barreto, 2015, Journal of Process Control.

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine

Carlos Henggeler Antunes, Rui Araújo, Tiago Matias, 2014, Neurocomputing.

A multilayer-perceptron based method for variable selection in soft sensor design

Rui Araújo, Tiago Matias, Francisco Souza, 2013 .

Genetically optimized extreme learning machine

Carlos Henggeler Antunes, Rui Araújo, Tiago Matias, 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

Learning sensor-based navigation of a real mobile robot in unknown worlds

Anibal T. de Almeida, Rui Araújo, A. T. Almeida, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Learning both a World Model and Navigation Paths in an Unknown Environment

Anibal T. de Almeida, Rui Araújo, A. T. Almeida, 2000, Intell. Autom. Soft Comput..

Exploration of an unknown environment by a mobile robot

A. T. de Almeida, Rui Araújo, A. T. Almeida, 1997 .

Tracking multiple moving objects in a dynamic environment for autonomous navigation

J. Almeida, R. Araujo, J. Almeida, 2008, 2008 10th IEEE International Workshop on Advanced Motion Control.

Simultaneous Localization and Map Building by Integrating a Cache of Features

Rui Araújo, Jorge Costa, Filipe Dias, 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

Tracking multiple moving objects for mobile robotics navigation

Anibal T. de Almeida, Rui Araújo, A. T. Almeida, 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.

Real-Time Tracking of Moving Objects Using Particle Filters

Rui Araujo, A. Almeida, J. Almeida, 2005, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

Mobile robot localization using a fuzzy ART world model

N. Santos, R. Araujo, G. Gouveia, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Adaptive fuzzy identification and predictive control for industrial processes

Rui Araújo, Jérôme Mendes, Francisco Souza, 2013, Expert Syst. Appl..

Learning self-organizing maps for navigation in dynamic worlds

Rui Araújo, Gonçalo Gouveia, Nuno Santos, 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

Learning variable-resolution maps for navigation in dynamic worlds

R. Araujo, A.T. de Almeida, G. Gouveia, 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

Self Teaching and Exploratory Task-Learning Methods in Unknown Environments and Applications in Robotic Skills

Anibal T. de Almeida, Urbano Nunes, Rui Araújo, 2002 .

Integrating laser and infrared sensors for learning dynamic self-organizing world maps

R. Araujo, D. Lourenco, G. Ferreira, 2001, Conference Documentation International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI 2001 (Cat. No.01TH8590).

Building geometric certainty maps and application to the navigation of a mobile robot

R. Araujo, A.T. De Almeida, R. Araújo, 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

Fuzzy ART based approach for real-time map building

R. Araujo, A.T. de Almeida, R. Araújo, 1998, AMC'98 - Coimbra. 1998 5th International Workshop on Advanced Motion Control. Proceedings (Cat. No.98TH8354).

Map building using fuzzy ART, and learning to navigate a mobile robot on an unknown world

Anibal T. de Almeida, Rui Araújo, A. T. Almeida, 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

An adaptive ensemble of on-line Extreme Learning Machines with variable forgetting factor for dynamic system prediction

Rui Araújo, Symone G. Soares, R. Araújo, 2016, Neurocomputing.

A dynamic and on-line ensemble regression for changing environments

Rui Araújo, Symone G. Soares, R. Araújo, 2015, Expert Syst. Appl..

An on-line weighted ensemble of regressor models to handle concept drifts

Rui Araújo, Symone G. Soares, R. Araújo, 2015, Eng. Appl. Artif. Intell..

Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development

Carlos Henggeler Antunes, Rui Araújo, Symone G. Soares, 2013, Neurocomputing.

A genetic algorithm for designing neural network ensembles

Carlos Henggeler Antunes, Rui Araújo, Symone G. Soares, 2012, GECCO '12.

Review of soft sensor methods for regression applications

Rui Araújo, Francisco Souza, Jerome Mendes, 2016 .

A novel robust control scheme for LTV systems using output integral discrete-time synergetic control theory

Saeid Rastegar, Rui Araújo, Jérôme Mendes, 2017, Eur. J. Control.

A new approach for online T-S fuzzy identification and model predictive control of nonlinear systems

Saeid Rastegar, Rui Araújo, Jerome Mendes, 2016 .

Adaptive identification and predictive control using an improved on-line sequential extreme learning machine

Saeid Rastegar, Rui Araújo, Jérôme Mendes, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model

Rui Araújo, Jérôme Mendes, Francisco Souza, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

ADAPTIVE FUZZY MODEL-BASED PREDICTIVE CONTROL : A LYAPUNOV APPROACH

Rui Araújo, Jérôme Mendes, R. Araújo, 2022 .

Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules

Rui Araújo, Jérôme Mendes, Ricardo Maia, 2020, Applied Sciences.

Dynamic Model and Inverse Kinematic Identification of a 3-DOF Manipulator Using RLSPSO

Laurinda L. N. dos Reis, Josias G. Batista, Darielson A. Souza, 2020, Sensors.

Electrical vehicle modeling: A fuzzy logic model for regenerative braking

Urbano Nunes, Rui Araújo, Ricardo Maia, 2015, Expert Syst. Appl..

Robust synergetic control design under inputs and states constraints

Saeid Rastegar, Rui Araújo, Jalil Sadati, 2018, Int. J. Control.

Fuzzy model predictive control for nonlinear processes

Rui Araújo, Jerome Menees, R. Araújo, 2012, Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012).

Adaptive predictive control with recurrent fuzzy neural network for industrial processes

Nuno Sousa, Rui Araújo, Jérôme Mendes, 2011, ETFA2011.

Stable indirect adaptive predictive fuzzy control for industrial processes

Rui Araújo, Jérôme Mendes, R. Araújo, 2011, ETFA2011.

Self-tuning PID controllers in pursuit of plug and play capacity

Rui Araújo, Jerome Mendes, Luis Osorio, 2017 .

Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control

Rui Araújo, Carlos Alberto Belchior, Jorge Afonso Cardoso Landeck, 2012, Comput. Chem. Eng..

Top Altmetric Scores in the Parkinson’s Disease Literature

Aaron A. Sorensen, B. Bloem, R. Araújo, 2017, Journal of Parkinson's disease.

Electric vehicle simulator for energy consumption studies in electric mobility systems

Ricardo Maia, Rui Araujo, Marco Silva, 2011, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems.

An architecture for adaptive fuzzy control in industrial environments

Rui Araújo, Jérôme Mendes, Luís Alves, 2011, Comput. Ind..

Eigenvalue decay: A new method for neural network regularization

Urbano Nunes, Rui Araújo, Oswaldo Ludwig, 2014, Neurocomputing.

Regenerative braking system modeling by fuzzy Q-Learning

Urbano Nunes, Rui Araújo, Jérôme Mendes, 2020, Eng. Appl. Artif. Intell..

Path planning-by-learning with a Nomad 200 mobile robot

R. Araujo, A.T. de Almeida, R. Araújo, 1997, ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics.

Mobile Robot Path Learning on an Unknown Environment

A. T. de Almeida, Rui Araújo, A. T. Almeida, 1997 .

COMPARISON STUDY OF REDUNDANT SENSOR FUSION IN AUTONOMOUS VEHICLE NAVIGATION

Urbano Nunes, Rui Araújo, Oswaldo Ludwig Junior, 2008 .

Mixture of partial least squares experts and application in prediction settings with multiple operating modes

Rui Araújo, Francisco Souza, R. Araújo, 2014 .

3D Surface-Tracking with a robot manipulator

Anibal T. de Almeida, Urbano Nunes, Rui Araújo, 1996, J. Intell. Robotic Syst..

Using distributed systems in real-time control of autonomous vehicles

José Alberto Fonseca, Urbano Nunes, Luís Almeida, 2003, Robotica.

Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration

Rui Araújo, Francisco Alexandre A. Souza, Carlos Alberto Belchior, 2018, Neural Computing and Applications.

Co-evolutionary genetic Multilayer Perceptron for feature selection and model design

Rui Araújo, Tiago Matias, Francisco Souza, 2011, ETFA2011.

A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes

Rui Araújo, Francisco Souza, Jerome Mendes, 2021, Applied Sciences.

Fault detection and replacement of a temperature sensor in a cement rotary kiln

Rui Araújo, Tiago Matias, Francisco Souza, 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

Variable and time-lag selection using empirical data

Rui Araújo, Francisco Souza, R. Araújo, 2011, ETFA2011.

Variable and delay selection using neural networks and mutual information for data-driven soft sensors

Pedro Santos, Rui Araújo, Francisco Souza, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Design and application of Soft Sensor using Ensemble Methods

Rui Araújo, Francisco Souza, Pedro Angelo Morais de Sousa, 2011, ETFA2011.

Adaptive identification and predictive control using an improved on-line sequential extreme learning machine

R. Araújo, F. Souza, Jérôme Mendes, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors

Rui Araújo, Francisco Souza, R. Araújo, 2014, IEEE Transactions on Industrial Informatics.

Online identification of Takagi–Sugeno fuzzy models based on self-adaptive hierarchical particle swarm optimization algorithm

Saeid Rastegar, Rui Araújo, Jerome Mendes, 2017 .

Support Vector Machines and Features for Environment Perception in Mobile Robotics

Paulo Peixoto, Luciano Oliveira, Urbano Nunes, 2008, Computational Intelligence Paradigms.