A robust controller for insulin pumps based on H-infinity theory. - Karl Heinz Kienitz; Takashi Yoneyama (IEEE Trans. Biomed. Eng., 1993)

A two-stage dual suboptimal controller for stochastic systems using approximate moments. - André Laurindo Maitelli; Takashi Yoneyama (Autom., 1994)

Suboptimal dual adaptive control for blood pressure management. - André Laurindo Maitelli; Takashi Yoneyama (IEEE Trans. Biomed. Eng., 1997)

A Neural Classifier Employing Biased Wavelets. - Roberto Kawakami Harrop Galvão; Takashi Yoneyama (SBRN, 1998)

Signal Representation by Adaptive Biased Wavelet Expansions. - Roberto Kawakami Harrop Galvão; Takashi Yoneyama; Tânia Nunes Rabello (Digit. Signal Process., 1999)

Improving the Discriminatory Capabilities of a Neural Classifier by Using a Biased-Wavelet Layer. - Roberto Kawakami Harrop Galvão; Takashi Yoneyama (Int. J. Neural Syst., 1999)

A multistage suboptimal dual controller using optimal predictors. - André Laurindo Maitelli; Takashi Yoneyama (IEEE Trans. Autom. Control., 1999)

Extracting fuzzy control rules from experimental human operator data. - Gabriel Omar Alvarez Zapata; Roberto Kawakami Harrop Galvão; Takashi Yoneyama (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Optimal control theory applied to the anti-viral treatment of AIDS. - Jose A. M. Felippe de Souza; Marco Antonio Leonel Caetano; Takashi Yoneyama (CDC, 2000)

A Clustering Method for Improving the Global Search Capability of Genetic Algorithms. - Leizer Schnitman; Takashi Yoneyama (SBRN, 2000)

An Efficient Implementation of a Learning Method for Mamdani Fuzzy Models. - Leizer Schnitman; Takashi Yoneyama (SBRN, 2000)

A control theoretic approach to the treatment of AIDS. - Jose A. M. Felippe de Souza; Marco Antonio Leonel Caetano; Takashi Yoneyama (ECC, 2001)

Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons. - Laurisete dos Santos Camargo; Takashi Yoneyama (Neural Comput., 2001)

A neural network with asymmetric basis functions for feature extraction of ECG P waves. - Eduardo de Azevedo Botter; Cairo L. Nascimento Jr.; Takashi Yoneyama (IEEE Trans. Neural Networks, 2001)

Analysis of a sub-optimal scheme of drug dosage in the aids treatment. - Jose A. M. Felippe de Souza; Marco A. L. Caetano; Takashi Yoneyama (ACC, 2003)

A simple technique for identifying a linearized model for a didactic magnetic levitation system. - Roberto Kawakami Harrop Galvão; Takashi Yoneyama; Fábio Meneghetti Ugulino de Araújo; Rodolfo Galati Machado (IEEE Trans. Educ., 2003)

A competitive wavelet network for signal clustering. - Roberto Kawakami Harrop Galvão; Takashi Yoneyama (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Optimal medication in HIV seropositive patient treatment using fuzzy cost function. - Marco A. L. Caetano; Jose A. M. Felippe de Souza; Takashi Yoneyama (ACC, 2008)

A Wavelet Band-Limiting Filter Approach for Fault Detection in Dynamic Systems. - Henrique Mohallem Paiva; Roberto Kawakami Harrop Galvão; Takashi Yoneyama (IEEE Trans. Syst. Man Cybern. Part A, 2008)

Painterly renderings using a synthesis of styles based on visual perception. - Takashi Yoneyama; Etsuo Genda; Kunio Kondo (VRCAI, 2009)

A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems. - Davi Antônio dos Santos; Takashi Yoneyama (Autom., 2011)

Model Predictive Control of Linear Systems subject to actuator degradation. - Helder S. Barbosa; Roberto Kawakami Harrop Galvão; Takashi Yoneyama (Control. Intell. Syst., 2012)

Quasi-LPV gain-scheduling control of a nonlinear aircraft pneumatic System. - Wallace Turcio; Takashi Yoneyama; Fernando Moreira (MED, 2013)

Actuator fault diagnosis and control of a quadrotor. - Adilson Souza Candido; Roberto Kawakami Harrop Galvão; Takashi Yoneyama (INDIN, 2014)

Control of an aeronautical pneumatic system using feedback linearization. - Wallace Turcio; Takashi Yoneyama; Dayvis Dias da Silva (MED, 2014)

Electro hydraulic servovalve health monitoring using fading extended Kalman filter. - Wlamir Olivares Loesch Vianna; Luiz Gonzaga de Souza Ribeiro; Takashi Yoneyama (ICPHM, 2015)

Data-driven aircraft estimated time of arrival prediction. - Christian Strottmann Kern; Ivo Paixao de Medeiros; Takashi Yoneyama (SysCon, 2015)

Robust Model predictive Control using Constraint Relaxation for Fault Tolerance. - Mariana Santos Matos Cavalca; Roberto Kawakami Harrop Galvão; Takashi Yoneyama (Control. Intell. Syst., 2015)

A nonlinear system identification approach based on Fuzzy Wavelet Neural Network. - Leandro L. S. Linhares; José M. Araújo Jr.; Fábio M. U. Araújo; Takashi Yoneyama (J. Intell. Fuzzy Syst., 2015)

Troubleshooting optimization using multi-start simulated annealing. - Wlamir Olivares Loesch Vianna; Leonardo Ramos Rodrigues; Takashi Yoneyama; David Issa Mattos (SysCon, 2016)

A New Degradation Indicator Based on a Statistical Anomaly Approach. - João Paulo Pordeus Gomes; Roberto Kawakami Harrop Galvão; Takashi Yoneyama; Bruno P. Leao (IEEE Trans. Reliab., 2016)

Asymmetric Unscented Transform for Failure Prognosis. - Bruno P. Leao; Takashi Yoneyama; João Paulo Pordeus Gomes (IEEE Trans. Reliab., 2016)

Unsupervised k-Mean Classification of Atrial Electrograms From Human Persistent Atrial Fibrillation. - Tiago Paggi de Almeida; Diogo C. Soriano; Xin Li 052; Gavin S. Chu; João Loures Salinet Jr.; Fernando S. Schlindwein; Peter J. Stafford; G. André Ng; Takashi Yoneyama (CinC, 2018)

Predictive Maintenance Optimization for Aircraft Redundant Systems Subjected to Multiple Wear Profiles. - Wlamir Olivares Loesch Vianna; Takashi Yoneyama (IEEE Syst. J., 2018)

Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft. - João Paulo Pordeus Gomes; Leonardo Ramos Rodrigues; Bruno P. Leao; Roberto Kawakami Harrop Galvão; Takashi Yoneyama (IEEE Trans Autom. Sci. Eng., 2018)

Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup. - Tiago P. Almeida; Laura A. Unger; Diogo C. Soriano; Xin Li 052; Olaf Dössel; Takashi Yoneyama; Axel Loewe (EMBC, 2019)

Model Predictive Control for Omnidirectional Small Size Robot with Motor and Non-Slipping Constraints. - Felipe Celso Reis Pinheiro; Marcos Ricardo Omena de Albuquerque Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2019)

A Class of Mappings for Assessment of Aircraft Pneumatic Actuator Degradation Parameters. - Julio Cesar Graves; Wallace Hessler Leal Turcio; Takashi Yoneyama (IEEE Trans. Reliab., 2019)

Phase Singularities in a Cardiac Patch Model With a Non-conductive Fibrotic Area During Atrial Fibrillation. - Tiago P. Almeida; Mark Nothstein; Xin Li 052; Michela Masè; Flavia Ravelli; Diogo C. Soriano; Arthur S. Bezerra; Fernando S. Schlindwein; Takashi Yoneyama; Olaf Dössel; G. André Ng; Axel Loewe (CinC, 2020)

Optimizing Atrial Electrogram Classification Based on Local Ablation Outcome in Human Atrial Fibrillation. - Arthur S. Bezerra; Takashi Yoneyama; Diogo C. Soriano; Giorgio Luongo; Xin Li 052; Flavia Ravelli; Michela Masè; Gavin S. Chu; Peter J. Stafford; Fernando S. Schlindwein; G. André Ng; Tiago P. Almeida (CinC, 2020)

Deep Reinforcement Learning Applied to IEEE Very Small Size Soccer Strategy**This work was supported by ITAndroids' sponsors: Altium Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios and Vir-tual. PYXIS. Also, Thiago Filipe de Medeiros would like to thank Capes for the master's scholarship grant 88882.446989/2019-01 and Takashi Yoneyama would like to thank CNPq - National Research Council of Brazil for the grant 304134/2018-0. - Thiago Filipe de Medeiros; Marcos R. O. de A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2020)

Deep Reinforcement Learning for Humanoid Robot Dribbling**Alexandre Muzio acknowledges CAPES for his scholarship (number 88882.161989/2017-01). Takashi Yoneyama would like to thank CNPq - National Research Council of Brasil for the grant 304134/2-18-0. The authors thank ITAndroids' sponsors: Altium, Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios, and Virtual.PYXIS. - Alexandre F. V. Muzio; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2020)

Comparison of Sampling-based Path Planners for Robocup Small Size League. - Felipe C. R. Pinheiro; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2020)

A spare parts inventory control model based on Prognostics and Health monitoring data under a fill rate constraint. - Leonardo Ramos Rodrigues; Takashi Yoneyama (Comput. Ind. Eng., 2020)

Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. - Joao P. A. Dantas; Andre N. Costa; Diego Geraldo; Marcos Ricardo Omena Albuquerque Máximo; Takashi Yoneyama (BRACIS (2), 2021)

Dominant Frequency and Organization Index for Substrate Identification of Persistent Atrial Fibrillation. - Tiago P. Almeida; Xin Li 052; Bharat Sidhu; Arthur S. Bezerra; Mahmoud Ehnesh; Ibrahim Anton; Ibrahim A. Nasser; Gavin S. Chu; Peter J. Stafford; Takashi Yoneyama; G. André Ng; Fernando S. Schlindwein (CinC, 2021)

Optimizing Univector Field Navigation Parameters Using CMA-ES. - Thayna Pires Baldão; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2021)

Engagement Decision Support for Beyond Visual Range Air Combat. - Joao P. A. Dantas; Andre N. Costa; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2021)

Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation. - Tiago P. Almeida; Diogo C. Soriano; Michela Masè; Flavia Ravelli; Arthur S. Bezerra; Xin Li 052; Gavin S. Chu; João Salinet; Peter J. Stafford; G. André Ng; Fernando S. Schlindwein; Takashi Yoneyama (IEEE Trans. Biomed. Eng., 2021)

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. - Joao P. A. Dantas; Andre N. Costa; Felipe L. L. Medeiros; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (WSC, 2022)

Maximum Visibility: A Novel Approach for Time Series Forecasting Based on Complex Network Theory. - Filipe Rodrigues De Souza Moreira; Filipe Alves Neto Verri; Takashi Yoneyama (IEEE Access, 2022)

Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. - Joao P. A. Dantas; Andre N. Costa; Marcos R. O. A. Máximo; Takashi Yoneyama (CoRR, 2022)

A two-dimensional RC network topology for fault-tolerant design of analog circuits. - Henrique Mohallem Paiva; Roberto Kawakami Harrop Galvão; Sillas Hadjiloucas; Takashi Yoneyama; Matheus Henrique Marcolino (Int. J. Circuit Theory Appl., 2022)

Deep Reinforcement Learning for Humanoid Robot Behaviors. - Alexandre F. V. Muzio; Marcos Ricardo Omena de Albuquerque Máximo; Takashi Yoneyama (J. Intell. Robotic Syst., 2022)

Deep Reinforcement Learning Applied to IEEE's Very Small Size Soccer in Cooperative Attack Strategy. - Thiago Filipe de Medeiros; Takashi Yoneyama; Marcos Ricardo Omena de Albuquerque Máximo (LARS/SBR/WRE, 2023)

Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2023)

Calibration of Inverse Perspective Mapping for a Humanoid Robot. - Francisco Bruno Dias Ribeiro da Silva; Marcos Ricardo Omena de Albuquerque Máximo; Takashi Yoneyama; Davi Herculano Vasconcelos Barroso; Rodrigo Tanaka Aki (RoboCup, 2023)

ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force. - Joao P. A. Dantas; Diego Geraldo; Andre N. Costa; Marcos Ricardo Omena Albuquerque Máximo; Takashi Yoneyama (CoRR, 2023)

Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning. - Joao P. A. Dantas; Diego Geraldo; Felipe L. L. Medeiros; Marcos R. O. A. Máximo; Takashi Yoneyama (CoRR, 2023)

Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2024)

AsaPy: A Python Library for Aerospace Simulation Analysis. - Joao P. A. Dantas; Samara R. Silva; Vitor Conrado Faria Gomes; Andre N. Costa; Adrisson R. Samersla; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2024)

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations. - Jay Patrikar; Joao P. A. Dantas; Brady G. Moon; Milad Moghassem Hamidi; Sourish Ghosh; Nikhil Varma Keetha; Ian Higgins; Atharva Chandak; Takashi Yoneyama; Sebastian A. Scherer (CoRR, 2024)

Colour reproduction evaluation of whole-slide imaging scanners for digital pathology. - Akihiro Kubota; Motohiro Shibata; Susumu Kikuchi; Takashi Yoneyama (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (IEEE Access, 2025)