Topic: Robust and Adaptive Control for Mechanical Systems
A Special Issue of Complex Engineering Systems
ISSN 2770-6249 (Online)
Submission deadline: 31 May 2025
Guest Editor(s)
Prof. Ye-Hwa Chen
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Special Issue Introduction
Mechanical systems, such as those in automotive, aerospace engineering, robotics, and manufacturing, frequently encounter dynamic uncertainties, external disturbances, and nonlinear behaviors that can affect their performance and reliability. To address these challenges, it is essential to develop and implement robust and adaptive control strategies.
Robust control focuses on maintaining system performance despite uncertainties and parameter variations by designing controllers capable of handling worst-case scenarios, ensuring stability and performance under various operating conditions. Conversely, adaptive control dynamically adjusts controller parameters in real-time to account for changes and unknown characteristics of the system. By using online parameter estimation and adjustment, adaptive control tailors strategies to evolving system dynamics, making it suitable for applications with time-varying properties or high environmental demands.
These mechanical systems play a crucial role in cutting-edge technology. In the automotive industry, they enable the development of advanced driver-assistance systems (ADAS) and autonomous vehicles. Aerospace engineering relies on these systems for precise control of aircraft and spacecraft, ensuring safety and efficiency. In robotics, they are essential for developing intelligent machines that can adapt to complex environments. Manufacturing benefits from these systems by improving the precision and reliability of automated processes, leading to higher-quality products and increased productivity. Thus, the integration of robust and adaptive control strategies in mechanical systems is fundamental to driving innovation and progress in cutting-edge technological applications.
This Special Issue aims to delve into innovative theories, methodologies, and applications of robust and adaptive control in mechanical systems. Topics of interest include, but are not limited to, the following:
● Dynamic modeling;
● System analysis;
● Robust control;
● Adaptive control;
● Nonlinear control;
● Real-time control;
● Disturbance rejection;
● System identification;
● Hybrid control approaches combining robust and adaptive techniques;
● Controller implementation and validation.
Robust control focuses on maintaining system performance despite uncertainties and parameter variations by designing controllers capable of handling worst-case scenarios, ensuring stability and performance under various operating conditions. Conversely, adaptive control dynamically adjusts controller parameters in real-time to account for changes and unknown characteristics of the system. By using online parameter estimation and adjustment, adaptive control tailors strategies to evolving system dynamics, making it suitable for applications with time-varying properties or high environmental demands.
These mechanical systems play a crucial role in cutting-edge technology. In the automotive industry, they enable the development of advanced driver-assistance systems (ADAS) and autonomous vehicles. Aerospace engineering relies on these systems for precise control of aircraft and spacecraft, ensuring safety and efficiency. In robotics, they are essential for developing intelligent machines that can adapt to complex environments. Manufacturing benefits from these systems by improving the precision and reliability of automated processes, leading to higher-quality products and increased productivity. Thus, the integration of robust and adaptive control strategies in mechanical systems is fundamental to driving innovation and progress in cutting-edge technological applications.
This Special Issue aims to delve into innovative theories, methodologies, and applications of robust and adaptive control in mechanical systems. Topics of interest include, but are not limited to, the following:
● Dynamic modeling;
● System analysis;
● Robust control;
● Adaptive control;
● Nonlinear control;
● Real-time control;
● Disturbance rejection;
● System identification;
● Hybrid control approaches combining robust and adaptive techniques;
● Controller implementation and validation.
Submission Deadline
31 May 2025
Submission Information
For Author Instructions, please refer to https://www.oaepublish.com/comengsys/author_instructions
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Submission Deadline: 31 May 2025
Contacts: Jane Meng, Assistant Editor, article@comengsys.com
