New Perspectives in Control Theory

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1429

Special Issue Editors


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Guest Editor
Control Engineering Research Group, Electrical Engineering Department, University of La Rioja, 26004 Logroño, Spain
Interests: robust control; process control; unmanned aerial vehicles

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Guest Editor
Area of Engineering and Automatic Control, Department of Informatics, University of Almería, Almería, Spain
Interests: process control; PID; control applications

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Guest Editor
Instituto de Investigaciones en Ingeniería, Facultad de Ingeniería, Universidad de Costa Rica, San Jose 11501-2060, Costa Rica
Interests: process control; PID control; control applications

Special Issue Information

Dear Colleagues,

We are pleased to announce the Special Issue entitled "New Perspectives in Control Theory", dedicated to showcasing cutting-edge research in the field of control theory. This Special Issue aims to bring together scholars, researchers, and practitioners to explore and discuss the latest developments in control theory, foster innovation and provide new insights into the challenges and opportunities in this dynamic field. Control theory is a multidisciplinary field that plays a central role in shaping the behavior of dynamic systems. It involves the design of systems that can regulate and manipulate variables in diverse applications ranging from industrial processes to aerospace systems. This discipline uses mathematical models of physical systems, feedback mechanisms to determine the state of the system and algorithms that determine the control actions to be applied to ensure the desired performance and stability of the system.  We invite contributions that address, but are not limited to, the following topics: advanced control algorithms, process control, adaptive and learning control, robust control methodologies, PID control, nonlinear control systems, intelligent control systems, model predictive control, cyber–physical systems and emerging technologies in control engineering. Thank you for your interest and participation. Kind regards, 

Dr. Javier Rico-Azagra
Dr. Ángeles Hoyo
Prof. Dr. Orlando Arrieta
Guest Editors

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Keywords

  • advanced control algorithms
  • process control
  • adaptive and learning control
  • robust control methodologies
  • PID control
  • nonlinear control systems
  • intelligent control systems
  • model predictive control
  • cyber–physical systems
  • engineering technologies in control engineering

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Published Papers (1 paper)

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Research

13 pages, 4219 KiB  
Article
Dynamic Sliding Mode Control of Spherical Bubble for Cavitation Suppression
by Ali Karami-Mollaee and Oscar Barambones
Axioms 2024, 13(10), 706; https://doi.org/10.3390/axioms13100706 - 13 Oct 2024
Cited by 1 | Viewed by 944
Abstract
Cavitation is a disadvantageous phenomenon that occurs when fluid pressure drops below its vapor pressure. Under these conditions, bubbles form in the fluid. When these bubbles flow into a high-pressure area or tube, they erupt, causing harm to mechanical parts such as centrifugal [...] Read more.
Cavitation is a disadvantageous phenomenon that occurs when fluid pressure drops below its vapor pressure. Under these conditions, bubbles form in the fluid. When these bubbles flow into a high-pressure area or tube, they erupt, causing harm to mechanical parts such as centrifugal pumps. The difference in pressure in a fluid is the result of varying temperatures. One way to eliminate cavitation is to reduce the radius of the bubbles to zero before they reach high-pressure areas, using a robust approach. In this paper, sliding mode control is used for this purpose due to its invariance property. To force the radius of the bubbles toward zero and prevent chattering, a new dynamic sliding mode control approach is used. In dynamic sliding mode control, chattering is removed by passing the input control through a low-pass filter, such as an integrator. A general model of the spherical bubble is used, transferred to the state space, and then a state proportional-integral feedback is applied to obtain a linear system with a new input control signal. A comparison is also made with traditional sliding mode control using state feedback, providing a trusted comparison. Full article
(This article belongs to the Special Issue New Perspectives in Control Theory)
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