Advances and Applications for Data-Driven/Model-Free Control
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 870
Special Issue Editors
Interests: Intelligent control; electric drive; servo drive
Interests: industrial process control and applications; complex systems; mobile wheeled robot and motion control; disturbance rejection control; intelligent optimization; advanced control techniques and implementation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Model-based control techniques have been developed in order to cope with the control problems with assumption that the models of the controlled systems are known. However, modelling a system is not easy, and is sometimes impossible. Data-driven control (DDC) or Modelfree control (MFAC) approaches focus on designing controllers merely using the input/output data of the controlled plant. In the past several years, the DDC/MFAC algorithms were widely studied and numerous interesting results have been obtained. However, the existing results related to the DDC/MFAC design focus on the uniformly ultimately boundedness, convergence analysis and high-order estimation. With advances in analysis and synthesis, more efficient algorithms of DDC/MFAC are expected to emerge, requiring the new mathematical tools and advanced control theories.
The purpose of this Special Issue is to advance the controller design and stability analysis of DDC/MFAC and further promote the research activities in analysis and synthesis for discrete-time systems. The Special Issue is targeted at original works to address some emerging issues and challenges from DDC/MFAC and their applications in science, and engineering.
The list of possible topics includes, but is not limited to:
- Equivalent dynamic linearization method
- Improved DDC/MFAC strategy
- DDC/MFAC-based disturbance estimation and rejection
- Robust stability analysis and parameters optimization of DDC/MFAC
- Fractional order DDC/MFAC
- Combination of DDC/MFAC and other advanced control methods
- Applications of DDC/MFAC in unmanned vehicle systems, smart grids, robotics, some other industrial control systems, etc.
Prof. Dr. Yonghong Lan
Dr. Zhuoyun Nie
Guest Editors
Manuscript Submission Information
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Keywords
- data-driven control
- model free adaptive control
- discrete-time systems
- dynamic linearization
- pseudo-partial derivative
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