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Photonics
Special Issues
Lasers and Complex System Dynamics
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Lasers and Complex System Dynamics

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Lasers, Light Sources and Sensors".

Deadline for manuscript submissions: 10 March 2026 | Viewed by 653

Special Issue Editors

Dr. Juan Hugo García-López

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Guest Editor
Dynamical Systems Laboratory, CULagos, Centro Universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Paseos de la Montaña, Lagos de Moreno 47460, Mexico
Interests: photonics; optics and photonics; optoelectronics; fiber optics; photonic; fibers; nonlinear fiber; optics nonlinear
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Rider Jaimes-Reátegui

E-Mail Website
Guest Editor
Optics, Complex Systems, and Innovation Laboratory, Centro Universitario de los Lagos, Universidad de Guadalajara, Enrique Díaz de León 1144, Jalisco, Lagos de Moreno 47463, Mexico
Interests: nonlinear dynamics and complex systems
Prof. Dr. Guillermo Huerta Cuellar

E-Mail Website
Guest Editor
Centro Universitario de Los Lagos (CULAGOS), Universidad de Guadalajara, Guadalajara 44100, Mexico
Interests: nonlinear dynamical systems; numerical modeling; laser dynamics; chaos theory; deterministic Brownian motion; fractional calculus
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of photonics has long regarded lasers as exemplary systems for exploring nonlinear dynamics, instabilities, and coherence phenomena. However, beyond their well-known behaviors, modern laser systems increasingly exhibit features typical of complex systems: multi-scale interactions, self-organization, emergent behaviors, and sensitivity to initial or boundary conditions. These characteristics are especially prominent in high-gain systems, laser networks, coupled resonators, and light–matter interactions in structured environments.

This Special Issue is dedicated to exploring the intersection between laser physics and the science of complex dynamical systems. We welcome contributions that take both theoretical and experimental perspectives, covering topics such as chaos, pattern formation, bifurcation theory, synchronization, cavity solitons, and topological photonics. By framing lasers within the broader landscape of complexity science, this issue aims to foster a multidisciplinary dialogue across nonlinear optics, applied physics, control theory, and systems engineering.

Dr. Juan Hugo García-López
Prof. Dr. Rider Jaimes-Reátegui
Prof. Dr. Guillermo Huerta Cuellar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Photonics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • laser dynamics
  • nonlinear optics
  • complex systems
  • spatio-temporal chaos
  • self-organization
  • synchronization
  • cavity solitons
  • laser networks
  • photonic instabilities
  • emergent behavior

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Published Papers (1 paper)

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Research

16 pages, 25234 KB  
Article
Real-Time Observer and Neuronal Identification of an Erbium-Doped Fiber Laser
by Daniel Alejandro Magallón-García, Didier López-Mancilla, Rider Jaimes-Reátegui, Juan Hugo García-López, Guillermo Huerta-Cuellar and Luis Javier Ontañon-García
Photonics 2025, 12(10), 955; https://doi.org/10.3390/photonics12100955 - 26 Sep 2025
Viewed by 420
Abstract
This paper presents the implementation of a real-time nonlinear state observer applied to an erbium-doped fiber laser system. The observer is designed to estimate population inversion, a state variable that cannot be measured directly due to the physical limitations of measurement devices. Taking [...] Read more.
This paper presents the implementation of a real-time nonlinear state observer applied to an erbium-doped fiber laser system. The observer is designed to estimate population inversion, a state variable that cannot be measured directly due to the physical limitations of measurement devices. Taking advantage of the fact that the laser intensity can be measured in real time, an observer was developed to reconstruct the dynamics of population inversion from this measurable variable. To validate and strengthen the estimate obtained by the observer, a Recurrent Wavelet First-Order Neural Network (RWFONN) was implemented and trained to identify both state variables: the laser intensity and the population inversion. This network efficiently captures the system’s nonlinear dynamic properties and complements the observer’s performance. Two metrics were applied to evaluate the accuracy and reliability of the results: the Euclidean distance and the mean square error (MSE), both of which confirm the consistency between the estimated and expected values. The ultimate goal of this research is to develop a neural control architecture that combines the estimation capabilities of state observers with the generalization and modeling power of artificial neural networks. This hybrid approach opens up the possibility of developing more robust and adaptive control systems for highly dynamic, complex laser systems. Full article
(This article belongs to the Special Issue Lasers and Complex System Dynamics)
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