Fernando Agustin Pazos

Orcid: 0000-0001-9951-9790

According to our database1, Fernando Agustin Pazos authored at least 15 papers between 2007 and 2020.

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

Timeline

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Bibliography

2020
Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method.
Int. J. Autom. Comput., 2020

2019
Matrix forms of iterative algorithms to solve large-scale discrete ill-posed problems with an application to image restoration.
J. Appl. Math. Comput., June, 2019

2017
Cooperative concurrent asynchronous computation of the solution of symmetric linear systems.
Numer. Algorithms, 2017

2015
Adaptive choice of the Tikhonov regularization parameter to solve ill-posed linear algebraic equations via Liapunov Optimizing Control.
J. Comput. Appl. Math., 2015

2014
A control Liapunov function approach to generalized and regularized descent methods for zero finding.
Int. J. Hybrid Intell. Syst., 2014

2012
Design of second order neural networks as dynamical control systems that aim to minimize nonconvex scalar functions.
Neurocomputing, 2012

A cooperative conjugate gradient method for linear systems permitting multithread implementation of low complexity.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Generalized Levenberg-Marquardt neural nets for minimization of quasiconvex scalar functions.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

2010
The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions.
Proceedings of the International Joint Conference on Neural Networks, 2010

Cooperative parallel asynchronous computation of the solution of symmetric linear systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems.
Neurocomputing, 2009

Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions.
Proceedings of the International Joint Conference on Neural Networks, 2009

Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions.
Proceedings of the Artificial Neural Networks, 2009

Control-theoretic design of iterative methods for symmetric linear systems of equations.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007
Algorithm for variational inequality problems based on a gradient dynamical system designed using a control Liapunov function.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007


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