Sonia G. Anguiano Rostro

ORCID: 0000-0002-1092-427X
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About
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Research Areas
  • Immune cells in cancer
  • Phagocytosis and Immune Regulation
  • Probabilistic and Robust Engineering Design
  • Gene Regulatory Network Analysis
  • Advanced Control Systems Optimization
  • Stochastic processes and financial applications
  • Reproductive System and Pregnancy
  • Risk and Portfolio Optimization
  • Immune Response and Inflammation
  • stochastic dynamics and bifurcation
  • Stability and Control of Uncertain Systems
  • Immune Cell Function and Interaction
  • Target Tracking and Data Fusion in Sensor Networks
  • Fault Detection and Control Systems

Universidad Autónoma de Nuevo León
2009-2020

In this work, the risk-sensitive optimal control equations for polynomial stochastic systems of third degree with exponential criterion to be minimized and parameter diffusion into state has been applied Fitz Hugh-Nagumo (Bon Hoeffervan der Pol) model. This model represents an excitable system driven noise, which could associated diverse processes, from kinetic one chemical reactions physics solid up biological. some applications model, supervenience depends maintaining certain noise...

10.1109/mmar.2014.6957470 article EN 2014-09-01

Monocytes (M) and macrophages (Mφ) cells are mononuclear essential components of the innate immune system response. phagocytes that have crucial distinct roles in tissue homeostasis immunity. key players during inflammation pathogen challenge also precursor (Mφ), whereas resident important functions development, resolution inflammation. They comprise what was just recently recognized as a heterogeneous family professional phagocytic responsible for recognition clearance pathogens dead cells....

10.1109/icmeae.2015.19 article EN 2015-11-01

The risk-sensitive filtering design problem with respect to the exponential mean-square cost criterion is con-sidered for stochastic Gaussian systems polynomial of second and third degree drift terms intensity parameters multiplying diffusion in state observations equations. closed-form optimal fil-tering equations are obtained using quadratic value functions as solutions corresponding Focker- Plank-Kolmogorov equation. performance verified a numerical example against po-lynomial (and...

10.4236/ica.2011.21006 article EN cc-by Intelligent Control and Automation 2011-01-01

This paper presents the optimal risk-sensitive controller problem for first degree polynomial stochastic systems with a scaling intensity parameter, multiplying diffusion term in state and observations equations exponential-quadratic cost function to be minimized. The are obtained based on filtering control separation principle. In example, compared conventional linear-quadratic systems. simulation results reveal significant advantages criterion values favor of designed controller,...

10.1109/iceee.2009.5393376 article EN 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) 2009-11-01

Monocytes M and macrophages Mϕ cells are mononuclear essential components of the innate immune system response. phagocytes that have crucial roles in tissue homeostasis immunity. Are key players during inflammation pathogen challenge also precursor Mϕ, whereas resident has important functions development, resolution inflammation. In previous work, linear optimal control equations with tracking x2(t) (this is Mϕ) only x1(t), M) were applied obtaining good results. this Linear Optimal Control...

10.22496/jbs.v1i1.98 article EN 2017-07-07

This paper presents the novelty RS (Risk-Sensitive) H2 optimal control problem with criterion J2, showing energy of spent into process, H∞ approach level attenuation λ1 is obtained, cost J∞. Robustness added when hybridized H2∕H∞ sub-optimal solved, as optimization approach, taking J2 function criterion, inequality constraint. The solution obtained imposing that constraint holds equality sign. Values versus exponential quadratic J, (RS traditional criterion), illustrate advantages J for...

10.1016/j.jprocont.2020.11.010 article EN cc-by-nc-nd Journal of Process Control 2020-12-04
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