𝑺𝑷𝑬𝑪𝑰𝑨𝑳 𝑰𝑺𝑺𝑼𝑬 𝒐𝒏
𝑫𝒚𝒏𝒂𝒎𝒊𝒄 𝑴𝒐𝒅𝒆𝒍𝒊𝒏𝒈 𝒂𝒏𝒅 𝑪𝒐𝒏𝒕𝒓𝒐𝒍 𝒎𝒆𝒕𝒉𝒐𝒅𝒔 𝒇𝒐𝒓 𝒕𝒉𝒆 𝑵𝒐𝒏𝒍𝒊𝒏𝒆𝒂𝒓 𝒔𝒚𝒔𝒕𝒆𝒎 𝒖𝒔𝒊𝒏𝒈 𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑴𝒂𝒕𝒉𝒆𝒎𝒂𝒕𝒊𝒄𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆

This special issue in 𝑫𝑬𝑴𝑶𝑵𝑺𝑻𝑹𝑨𝑻𝑰𝑶 𝑴𝑨𝑻𝑯𝑬𝑴𝑨𝑻𝑰𝑪𝑨 (𝑰𝑭:2.093) focuses on Dynamic Modeling and Control methods for the Nonlinear system using Artificial Mathematical Intelligence.
In the new era of technologies, the needs for efficient Control Systems are much needed, and it is considered as prime importance to industrial development. A fully automated system, which would help in accurate identification of abnormalities and providing good management among the network of operations. The requirement for machine learning and optimization has become more and more vital to modern systems. Different areas of mathematics were significantly impacted by the development of artificial intelligence. The field of inverse problems, namely imaging science, may have been the first to adopt these cutting-edge techniques. Using these methods, challenging issues like denoising, in painting, super resolution, or (limited-angle) computed tomography have been solved. Thus, a paradigm shift might be seen within a few years, and innovative solutions are often at least partially based on artificial intelligence techniques. It was not immediately clear how artificial intelligence approaches would benefit this field, the field of partial differential equations was significantly slower to adopt these new techniques. In fact, it appears unnecessary to use learning-type techniques because a partial differential equation is a sound mathematical model. However, there has recently been a paradigm shift in this field as well as a result of the discovery that deep neural networks may overcome the dimensionality paradox in high dimensional environments.

During the previous decade, soft computing has emerged as potential candidates for solving complex and intricate global optimization problems, which are otherwise difficult to explain by traditional methods. In present scenario Industrial optimization, Control system applications, and power system application fields have challenging deeds, which are to be unraveled by the researchers. Some Artificial Mathematical Mechanics for Machine Learning and Global Optimization include Artificial Neural Networks, Fuzzy logic, Genetic Algorithms (GA), Differential Evolution (DE), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Firefly Algorithm (FFA) algorithm, etc., are the methods have been successfully applied to a wide range of benchmark and real-world application problems.

This special issue is an ideal platform for the researchers to come out with innovative ideas and approaches in the area of Nonlinear Control Methods for emerging Artificial Mathematical techniques. This issue gains much importance since it directly affects many fields of society. Our issue seeks to bring forward and highlight the challenges in AI based mathematical Computing and Analytics on a control system, which would help for the smart enhancement in many applications used for human welfare.


SCOPE OF THE SPECIAL ISSUE

1. Nonlinear computing based AMI system.
2. Artificial Intelligence based system modeling.
3. Mathematical Modeling of the Nonlinear system.
4. Mathematical Foundations for Artificial Intelligence
5. Fundamental solution for control system modeling.
6. Control Theory and the applications of optimization.
7. Optimization in Stochastic Systems (Continuous or Discrete times).
8. Optimization for the data analytics.
9. Advanced Closed-loop System with intelligent decision methodology.
10. Optimized Scheduling and Nonlinear Methods.
11. Optimization for the system modeling.
12. Optimized Technique for Control System.
13. Machine learning based PID Controller.
14. Non-Linear Processing.
15. Process Optimization.
16. Optimized Industrial Control.
17. Supervised and unsupervised controlling.
18. Effective process control by non-linear processing Mechanics.

The topics mentioned above should be enhanced with any Artificial Intelligence methodologies, should be full mathematical oriented.
Authors are requested to submit their full revised papers complying the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process.

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𝙂𝙐𝙀𝙎𝙏 𝙀𝘿𝙄𝙏𝙊𝙍𝙎

B. Nagaraj, Rathinam Group of Institutions, Coimbatore, India
Danilo Pelusi, Communication Engineering, University of Teramo, Italy
Raffaele Mascella, Communication Engineering University of Teramo, Italy

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𝘿𝙀𝘼𝘿𝙇𝙄𝙉𝙀

The deadline for submissions is 𝐉𝐔𝐋𝐘 𝟏𝟓, 𝟮𝟬𝟮𝟯, but individual papers will be reviewed and published online on an ongoing basis.

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𝙃𝙊𝙒 𝙏𝙊 𝙎𝙐𝘽𝙈𝙄𝙏

All submissions to the Special Issue must be made electronically via the online submission system Editorial Manager

𝐡𝐭𝐭𝐩://𝐰𝐰𝐰.𝐞𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥𝐦𝐚𝐧𝐚𝐠𝐞𝐫.𝐜𝐨𝐦/𝐝𝐞𝐦𝐚

Please, choose the category “𝑺𝒑𝒆𝒄𝒊𝒂𝒍 𝑰𝒔𝒔𝒖𝒆 𝒐𝒏 𝑫𝒚𝒏𝒂𝒎𝒊𝒄 𝑴𝒐𝒅𝒆𝒍𝒊𝒏𝒈 𝒂𝒏𝒅 𝑪𝒐𝒏𝒕𝒓𝒐𝒍 𝒎𝒆𝒕𝒉𝒐𝒅𝒔 𝒇𝒐𝒓 𝒕𝒉𝒆 𝑵𝒐𝒏𝒍𝒊𝒏𝒆𝒂𝒓 𝒔𝒚𝒔𝒕𝒆𝒎 𝒖𝒔𝒊𝒏𝒈 𝑨𝑴𝑰”

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𝘾𝙊𝙉𝙏𝘼𝘾𝙏

𝐝𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐢𝐨.𝐞𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥@𝐝𝐞𝐠𝐫𝐮𝐲𝐭𝐞𝐫.𝐜𝐨𝐦

𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠𝐄𝐝𝐢𝐭𝐨𝐫@𝐝𝐞𝐠𝐫𝐮𝐲𝐭𝐞𝐫.𝐜𝐨𝐦

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𝙁𝙤𝙧 𝙢𝙤𝙧𝙚 𝙞𝙣𝙛𝙤𝙧𝙢𝙖𝙩𝙞𝙤𝙣, 𝙥𝙡𝙚𝙖𝙨𝙚 𝙫𝙞𝙨𝙞𝙩 𝙤𝙪𝙧 𝙬𝙚𝙗𝙨𝙞𝙩𝙚.

𝐡𝐭𝐭𝐩𝐬://𝐰𝐰𝐰.𝐝𝐞𝐠𝐫𝐮𝐲𝐭𝐞𝐫.𝐜𝐨𝐦/𝐣𝐨𝐮𝐫𝐧𝐚𝐥/𝐤𝐞𝐲/𝐝𝐞𝐦𝐚/