RIOS NETO, A. SELECTED PAPERS BIOGRAPHICAL REFERENCES
MARQUES FILHO, E.A., RIOS NETO, A., KUGA, H. K. Low Cost GPS/INS Navigation Systems with Error Compensation by Artificial Neural Networks. Learning and Nonlinear Models (L&NLM)Journal of the Brazilian Computational Intelligence Society. v.10, p.227 – 241, 2012.
TASINAFFO, P. M., RIOS NETO, A. Predictive Control with Mean Derivative Based Neural Euler Integrator Dynamic Model. SBA.Controle e Automação. v.18, p.94 – 105, 2007.
RIOS NETO, A., TASINAFFO, P.M. Feedforward Neural Networks Combined with a Numerical Integrator Structure for Dynamic Systems Modeling. Proceedings of the 17thInternational Congress of Mechanical Engineering-COBEM 2003.
TASINAFFO, P.M.; RIOS NETO, A. Mean Derivatives based on Neural Euler Integrator for Nonlinear Dynamic Systems Modeling. Learning and Nonlinear Models, v. 3, p. 98-109, 2007.
CURVO, M., RIOS NETO, A. Use of Functional Link Network in Aerodynamic Modeling of Aircraft. Proceedings of the 16thInternational Congress of Mechanical Engineering-COBEM 2001, ISBN: 85-85769-06-8.
SILVA, J. A., RIOS NETO, A. Neural Predictive Flight Trajectory Control Based on Kalman Filtering Algorithms. Proceedings of the 16thInternational Congress of Mechanical Engineering-COBEM 2001, ISBN: 85-85769-06-8.
RIOS NETO, A., RIOS NETO, W. An Optimal Linear Estimation Approach to the Parallel Solution of Linear Algebraic Systems of Equations. SBAControle e Automação. v.11, p.61 – 67, 2000.
MADEIRA, F., RIOS NETO, A.Guidance and Control of a Launch Vehicle Using a Stochastic Gradient Projection Method. Automatica. v.36, p.427 – 438, 2000.
RIOS NETO, A.Stochastic Optimal Linear Parameter Estimation and Neural Nets Training in Systems Modelling. J of The Braz Soc Mechanical Sciences. v.19, p.138 – 146, 1997.
CARRARA, V., VAROTTO, S.E.C., RIOS NETO, A.Satellite Attitude Control Using Multilayer Perceptron Neural Networks. Advances in the Astronautical Sciences. v.100, p.565 – 579, 1999.
ROSADO, V. Q. G., RIOS NETO, A.Time-Optimal Geomagnetic Attitude Maneuvers of An Axisymmetric Spinning Satellite. Acta Astronautica. v.26, p.773 – 777, 1992.
PINTO, R. L. U. F., RIOS NETO, A.An Optimal Linear Estimation Approach to Solve Systems of Linear Algebraic Equations. Journal of Computational and Applied Mathematics. v.33, p.261 – 268, 1990.
RAO, K. R., RIOS NETO, A.Effect of Force Model Errors On Short-Term Circular Orbit Estimations. The Journal of Astronautical Sciences. v.40, p.527 – 545, 1992.
RIOS NETO, A., RAO, K. R. A Stochastic Approach to Global Error Estimation in Ode Multistep Numerical Integration. Journal of Computational and Applied Mathematics. v.30, p.257 – 281, 1990.
PRADO, A. F. B. A., RIOS NETO, A.Suboptimal and Hybrid Numerical Solution Schemes for Orbit Transfer Maneuvers In: Mecanique Spatiale/Space Dynamics (Selected Papers from an International Symposium), Cepadues – Editions, 1990, p. 749-760.
RIOS NETO, A., CRUZ, J. J. Design of a Stochastic Linear Discrete Regulator Based on an Optimal State Estimation. SBA: Controle e Automação. v.2, p.151 – 157, 1990.
RIOS NETO, A., TABASSO, L. G., ORLANDO, V. Real Time Smoothing to Improve the Performance of a Strapdown Nongyroscopic Attitude Propagation Inertial Unit. SBA: Controle e Automação. v.I, p.331 – 336, 1987.
RIOS NETO, A.; CRUZ, J.J. A Stochastic Rudder Control Law for Ship Steering; Automática, Vol. 21, No. 4, pp. 371-384, 1985.
RIOS NETO, A., CARDENUTO, N.C. Stochastic Global Error Estimation in the Numerical Solution of Ordinary Differential Equations; In the Motion of Planets and Natural and Artificial Satellites, edited by S. Ferraz-Mello and P.E. Nacozy; Universidade de São Paulo, Instituto Astronômico e Geofísico, 1983.
RIOS NETO, A. KONDAPALLI, R. R. A Study on the Onboard Artificial Satellite Orbit Propagations Using Artificial Neural Networks; Proceedings 20thInternational Symposium on Space Technology and Science/11thInternational Astrodynamics Symposium, ISAS, Japan,1996, pp 192-195.