Roberto Kawakami Harrop Galvão

According to our database1, Roberto Kawakami Harrop Galvão authored at least 48 papers between 1998 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Comments on 'Less conservative conditions for robust LQR-state-derivative controller design: an LMI approach' and new sufficient LMI conditions for invertibility of a convex combination of matrices.
Int. J. Syst. Sci., 2022

A two-dimensional RC network topology for fault-tolerant design of analog circuits.
Int. J. Circuit Theory Appl., 2022

Robust region elimination for piecewise affine control laws.
Autom., 2019

Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft.
IEEE Trans Autom. Sci. Eng., 2018

Direct discrete time design of robust state derivative feedback control laws.
Int. J. Control, 2018

Conversion of descriptor representations to state-space form: an extension of the shuffle algorithm.
Int. J. Control, 2018

Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm.
Appl. Soft Comput., 2018

Determination of Periodic Trajectories of Dynamic Systems Subject to Switching Input Constraints.
J. Optim. Theory Appl., 2017

Sense Avoidance Constraints for Conflict Resolution between Autonomous Vehicles.
IEEE Intell. Transp. Syst. Mag., 2017

Optimization of wavelet filters for parity relation-based fault detection.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A New Degradation Indicator Based on a Statistical Anomaly Approach.
IEEE Trans. Reliab., 2016

Identification of Fractional-Order Transfer Functions Using a Step Excitation.
IEEE Trans. Circuits Syst. II Express Briefs, 2015

Use of PHM Information and System Architecture for Optimized Aircraft Maintenance Planning.
IEEE Syst. J., 2015

A state-space description for perfect-reconstruction wavelet FIR filter banks with special orthonormal basis functions.
J. Comput. Appl. Math., 2015

Identification of Multiscale State-Space Models from input-output Data.
Control. Intell. Syst., 2015

Robust Model predictive Control using Constraint Relaxation for Fault Tolerance.
Control. Intell. Syst., 2015

Improving fault tolerance in model predictive control through enlargement of the recursively feasible set.
Proceedings of the 14th European Control Conference, 2015

Comments on "Enhancements on the Hyperplanes Arrangements in Mixed-Integer Programming Techniques" - Association Method for Unallocated Tuples to Allow for a Single Additional Constraint.
J. Optim. Theory Appl., 2014

Actuator fault diagnosis and control of a quadrotor.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

Fractional Order Modeling of Large Three-Dimensional RC Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2013

Time delay estimation in discrete-time state-space models.
Signal Process., 2013

Combining PHM information and system architecture to support aircraft maintenance planning.
Proceedings of the IEEE International Systems Conference, 2013

Waypoint trajectory planning in the presence of obstacles with a tunnel-MILP approach.
Proceedings of the 12th European Control Conference, 2013

Optimized orthonormal wavelet filters with improved frequency separation.
Digit. Signal Process., 2012

Model Predictive Control of Linear Systems subject to actuator degradation.
Control. Intell. Syst., 2012

Input delay estimation using quadratic programming.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

On the Choice of Filter Bank Parameters for Wavelet-Packet Identification of Dynamic Systems.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

On the Space of Orthonormal Wavelets: Additional Constraints to Ensure Two Vanishing Moments.
IEEE Signal Process. Lett., 2009

A Wavelet Band-Limiting Filter Approach for Fault Detection in Dynamic Systems.
IEEE Trans. Syst. Man Cybern. Part A, 2008

Wavelet-Packet Identification of Dynamic Systems with Coloured Measurement Noise.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

Wiener-System Subspace Identification for Mobile Wireless mm-Wave Networks.
IEEE Trans. Veh. Technol., 2007

MIMO Wiener Model Identification for Large Scale Fading of Wireless Mobile Communications Links.
IEEE Commun. Lett., 2007

IEEE Softw., 2006

Wavelet-packet identification of dynamic systems in frequency subbands.
Signal Process., 2006

Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms.
Pattern Recognit. Lett., 2006

Neural and Wavelet Network Models for Financial Distress Classification.
Data Min. Knowl. Discov., 2005

A competitive wavelet network for signal clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Simulation of dynamic systems with output saturation.
IEEE Trans. Educ., 2004

Ratio Selection for Classification Models.
Data Min. Knowl. Discov., 2004

A simple technique for identifying a linearized model for a didactic magnetic levitation system.
IEEE Trans. Educ., 2003

A Multiscale Wavelet Data Treatment for Reliable Localization of Inflection Points for Analytical Purposes.
J. Chem. Inf. Comput. Sci., 2003

A Linear Semi-infinite Programming Strategy for Constructing Optimal Wavelet Transforms in Multivariate Calibration Problems.
J. Chem. Inf. Comput. Sci., 2003

Adaptive control for mobile robot using wavelet networks.
IEEE Trans. Syst. Man Cybern. Part B, 2002

Variable selection for financial distress classification using a genetic algorithm.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Extracting fuzzy control rules from experimental human operator data.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Improving the Discriminatory Capabilities of a Neural Classifier by Using a Biased-Wavelet Layer.
Int. J. Neural Syst., 1999

Signal Representation by Adaptive Biased Wavelet Expansions.
Digit. Signal Process., 1999

A Neural Classifier Employing Biased Wavelets.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998