Advances in Differential Equations and Control Processes

Description

The Advances in Differential Equations and Control Processes is an esteemed international journal indexed in the Emerging Sources Citation Index (ESCI). It publishes original research articles related to recent developments in both theory and applications of ordinary and partial differential equations, integral equations, and control theory.

The journal particularly encourages submissions related to process/system research in fields such as chemistry, biology, materials science, energy, environmental science, food science, pharmaceuticals, manufacturing, automation control, catalysis, separation processes, particle engineering, and related engineering disciplines. Emphasis is placed on articles that have the potential to introduce new techniques supported by practical applications. Additionally, the journal welcomes survey articles that explore future research directions.

From December 1, 2024, Academic Publishing will acquire Advances in Differential Equations and Control Processes from Pushpa Publishing House, and will publish this journal from Vol. 32 (2025) onwards. Moreover, from 14 November 2024, new submissions should be made to the new Open Journal Systems.

Latest Articles

Open Access

Articles

Article ID: 2343

Using learning and cognitive models for assessing quality of content hosted into websites
by Sastry Kodanda Rama Jammalamadaka, Shahida Tasneem Shaik, Hima Bindu Duddempudi, Kunal Sana, Sasi Bhanu Jammalamadaka, Balakrishna Kamesh Duvvuri

Advances in Differential Equations and Control Processes, Vol.32, No.2, 2025;

DOI: https://doi.org/10.59400/adecp2343

The quality of a WEB site is based on 42 different factors. Out of those factors, the quality of content is the key factor. Different types of content are hosted on websites, including text, data, text data, images, videos, graphics, and animations. There are also interrelations among the content sources. The element-level connectivity and hierarchical element connectivity of content sources dictate the quality of content hosted on the website. The number of content elements, connectivity among the elements and the number of hierarchies existing on a website are many and, therefore, require a framework using which the quality of content is computed. This paper presents a framework based on an expert and ANN model. Using the framework, the quality of content hosted on a website is computed considering all sub-factors determining the quality of the factor “Content”. Using the framework proposed in this paper, the quality of the content was estimated accurately to 91.80.

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Open Access

Articles

Article ID: 2712

Stabilizing Schrödinger—ODE systems with boundary delay for industrial process optimization
by Ya-Ru Xie, Yu-Wen Chen, Li Zhang, Cong-Yue Tian, Rui-Qing Gao

Advances in Differential Equations and Control Processes, Vol.32, No.2, 2025;

DOI: https://doi.org/10.59400/adecp2712

In this paper, we focus on the stabilization of a Schrödinger-ODE cascaded system with boundary delayed control. The system is stabilized through the utilization of integral-type feedback control, in which the integral kernel functions serve as parameters. The objective is to identify an appropriate set of kernel functions that ensure exponential stability characteristics of the closed-loop system. The initial step is to select a target system that must be exponentially stable. We propose an auxiliary system for the task at hand. Initially, we need to establish the equivalence between the auxiliary system and the original controlled time-delay system. This stage is primarily concerned with the elimination of the influence of input memory. The second system is leveraged to ascertain the equivalence between stable target system and the auxiliary system. This paper presents a method to choose parameter functions to create an exponentially stable feedback controller.

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Announcements

Warmest Congratulations to the Editorial Board of ADECP on being selected for the 2024 Elsevier "Highly Cited Chinese Researchers"

2025-03-26

We are pleased to announce that our editorial board members, Prof. Jihuan He(Editor-in-Chief) and Prof. Changjin Xu, have been honored by being included in the 2024 Elsevier "Highly Cited Chinese Researchers" list. This prestigious recognition acknowledges their outstanding contributions to the fields of mathematics and engineering.

Appointment of New Editor-in-Chief of ADECP:

2025-01-02

We are thrilled to announce that Prof. Dr. Ji-Huan He will assume the role of Editor-in-Chief of Advances in Differential Equations and Control Processes starting January 2025. We would also like to extend our heartfelt gratitude to the former Editor-in-Chief, Prof. K. K. Azad, for his invaluable contributions to the journal.

Prof. Dr. Ji-Huan He, a distinguished professor at Soochow University and a Fellow of the Pakistan Academy of Sciences, has been intensively engaged in applying mathematical concepts across a wide range of disciplines. His remarkable contributions are exemplified by the development of innovative methodologies, namely the semi-inverse method for variational principles, the homotopy perturbation method, the variational iteration method, and two-scale fractal geometry. To date, Prof. He has published over 300 papers and holds an H-index of 98. He has also been repeatedly recognized as a "Highly Cited Researcher" by Clarivate Analytics.

We eagerly anticipate collaborating with Prof. Dr. Ji-Huan He and are excited to welcome him to the journal!