Paulo Gil
Assistant Professor at FCT/UNL
psg@fct.unl.pt
(email)
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G
Gomes, J., Alberto Cardoso, and P. Gil.
"
Risk Management Integrated Systems; a methodological approach concerning the Tua river railway (NE Portugal)
."
VI Colóquio de Geografia de Coimbra â??Sociedade da Informação Geográficaâ?
. n/a 2008.
Abstract
n/a
Gomes, J., Alberto Cardoso, and P. Gil.
"
Slope instability and landslides in Tua river basin and its relations with recent train disasters
."
Geomorphology 2009 - 7th International Conference on Geomorphology (ANZIAG)
. n/a 2009.
Abstract
n/a
Gil, P., Alberto Cardoso, J. Nascimento, A. Medina, L. Palma, and P. Furtado.
"
Internet-Based Real-Time Control Laboratory
."
8th Portuguese Conference on Automatic Control
. n/a 2008.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, A. Emmen, and H. Duarte-Ramos.
"
Application of a recurrent neural network in on-line modelling of real.time system.
"
ESIT'99 3-4 June Crete
. n/a 1999.
Abstract
n/a
Gil, P., G. N. N. V. Nunes, L. Palma, A. Santos, and Alberto Cardoso.
"
Adaptive Model Based Predictive Networked Control over WSAN with Tolerance to Transmission Faults on the Forward Channel
."
5th International Conference on Sensing Technology (ICST 2011)
. n/a 2011.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, and H. Duarte-Ramos.
"
Extended Neural Model Predictive Control of Non-linear Systems
."
IASTED - ASC'2000
. n/a 2000.
Abstract
n/a
Gil, P., António Dourado, J. Henriques, and P. Carvalho.
"
Constrained Adaptive Nonlinear Neural Model Based Predictive Control of a Distributed Solar Collector Field
."
Proceedings of the Second IHP Workshop of PSA Users
. n/a 2002.
Abstract
n/a
Gil, P., J. Henriques, and António Dourado.
"
Unscented Kalman Filter in Adaptive Neural Model-Based Predictive Control
."
10th Mediterranean Conference on Control and Automation
. n/a 2002.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, and H. Duarte-Ramos.
"
Stability Analysis for a Class of Affine State-Space Neural Networks
."
12th Mediterranean Conference on Control and Automation
. n/a 2004.
Abstract
n/a
Gil, Paulo, Fábio Santos, Alberto Cardoso, and Luís Palma.
"
Parametric Fault Detection in Nonlinear Systems-A Recursive Subspace-based Approach.
"
10th International Conference on Informatics in Control, Automation and Robotics
. 2013.
Abstract
n/a
Gil, P., Alberto Cardoso, António Dourado, and J. Henriques.
"
Experiments with an Adaptive Model-Based Predictive Controller Applied to a Distributed Solar Collector Field: Performance and Fault Tolerance Assessment
."
n/a
. n/a: n/a, 2002. n/a.
Abstract
n/a
Gil, P., Alberto Cardoso, and L. Palma.
"
Estimating the Number of Hidden Neurons in Recurrent Neural Networks for Nonlinear System Identification
."
IEEE-ISIE 2009 - IEEE International Symposium on Industrial Electronics
. n/a 2009.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, and H. Duarte-Ramos.
"
Constrained Neural Model Predictive Control with Guaranteed Free Offset
."
IEEE - IECON'2000
. n/a 2000.
Abstract
n/a
Gil, P., António Dourado, and J. Henriques.
"
State Space Neural Networks and the Unscented Kalman Filter in Online Nonlinear System Identification
."
IASTED, International Conference on Intelligent Systems and Control
. n/a 2001.
Abstract
n/a
Gil, P., António Dourado, J. Henriques, and Alberto Cardoso.
"
Neural Networks in Scheduling Linear Controllers with Application to a Solar Power Plant
."
IASTED Control and Applications
. n/a 2002.
Abstract
n/a
Gil, P., J. Henriques, P. Carvalho, António Dourado, and H. Duarte-Ramos.
"
Adaptive Model-Based Predictive Control With Steady State Offset Compensation for a Distributed Solar Collector Field.
"
IEEE-ICNNSP 2003
. n/a 2003.
Abstract
n/a
Gil, Paulo, F Santos, Alberto Cardoso, and Lu Palma Lu.
"
Subspace Propagator-based Approach for Online State-space System Identification
."
2nd IEEE Conference on Control, Systems & Industrial Informatics
. 2013.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, and H. Duarte-Ramos.
"
On State-Space Neural Networks for Systems Identification: Stability and Complexity
."
IEEE CIS-RAM
. n/a 2006.
Abstract
n/a
Gil, Paulo, Jorge Henriques, Alberto Cardoso, and António Dourado.
"
On affine state-space neural networks for system identification: Global stability conditions and complexity management
."
Control Engineering Practice
. 21 (2013): 518-529.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, and H. Duarte-Ramos.
"
Non-linear predictive control based on a recurrent neural network
."
ESIT\'99
. n/a 1999.
Abstract
n/a
Gil, P., A. Paulo, L. Palma, A. Santos, and Alberto Cardoso.
"
Model Based Predictive Control over Wireless Sensor and Actuator Networks
."
The 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011)
. n/a 2011.
Abstract
n/a
Gil, P., António Dourado, and J. Henriques.
"
Recurrent Neural Networks and Feedback Linearization for a Solar Power Plant Control
."
EUNIT01, European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems
. n/a 2001.
Abstract
n/a
Gil, P., António Dourado, J. Henriques, and P. Carvalho.
"
Adaptive Neural Model Based Predictive Control Of A Solar Power Plant
."
IJCNN, International Join Conference on Neural Networks
. n/a 2002.
Abstract
n/a
Gil, P., Alberto Cardoso, António Dourado, J. Henriques, and H. Duarte-Ramos.
"
Experiments with an Adaptive Model-Based Predictive Controller Applied to a Distributed Solar Collector Field: Performance and Fault Tolerance Assessment
."
n/a
. n/a 2003.
Abstract
n/a
Gil, P., J. Henriques, António Dourado, and H. Duarte-Ramos.
"
Order Estimation in Affine State-Space Neural Networks
."
2005 IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications
. n/a 2005.
Abstract
n/a
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Recent Publications
Hybrid Approach for Control Loop Performance Assessment
Interactive Demonstration of a Java-Based Simulator of Dynamical Systems
Java-Based Simulator of Dynamical Systems and PID Control
Outliers Accommodation in Fuzzy Control Systems over WSAN
Subspace Propagator-based Approach for Online State-space System Identification
Parametric Fault Detection in Nonlinear Systems-A Recursive Subspace-based Approach.
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