Advances in Nonlinear and Adaptive Control of High-Precision Intelligent Machines
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 553
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the fields of precision machining, robotics, and industrial automation, achieving high-precision position tracking presents significant challenges, particularly in the presence of control saturation, parameter perturbations, and external disturbances. The integration of advancements in intelligent controller design for high-precision dynamical control systems within the framework of advanced adaptive control represents a significant leap in control engineering. Combining these techniques under the umbrella of intelligent control enhances system robustness, accuracy, and reliability, which are especially critical in applications requiring high levels of precision and safety, such as aerospace, automotive, and manufacturing processes.
This holistic strategy not only addresses the limitations of traditional control methods, such as sliding mode control, by reducing chattering and improving convergence speed, but also paves the way for developing more sophisticated, autonomous systems capable of self-improvement and real-time adaptation to unforeseen events. This approach meets the growing demands for advanced automation and intelligent system design in an increasingly complex and dynamic control landscape.
However, traditional sliding mode control methods suffer from several limitations, including performance constraints that depend on initial errors, the inability to flexibly specify error convergence time, and issues with controller singularity. This Special Issue focuses on hybrid adaptive control strategies for high-precision intelligent machines, aiming to address complex operating conditions such as unknown initial states, parameter perturbations, and external disturbances. Core topics include the design of intelligent hybrid controllers for environments with unknown initial states, parameter perturbations, and external disturbances.
We welcome papers related to intelligent electrical machines and their control in this field. Topics of interest for publication include, but are not limited to, the following:
- Adaptive control;
- Intelligent machines;
- Nonlinear control;
- Hybrid adaptive control;
- Artificial intelligence;
- Intelligent control;
- Cyber–physical systems;
- High-precision servo systems;
- Precision engineering.
Dr. Saleem Riaz
Guest Editor
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. Machines 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
- adaptive control
- intelligent machines
- nonlinear control
- hybrid adaptive control
- artificial intelligence
- intelligent control
- cyber–physical systems
- high-precision servo systems
- precision engineering
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