Robust and Adaptive Control of Fractional-Order Systems
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 16238
Special Issue Editors
2. School of Advanced Manufacturing, Sun Yat-Sen University, Guangzhou 510006, China
Interests: fractional-order system; robust control; neural network
Special Issues, Collections and Topics in MDPI journals
Interests: fractional calculus; nonlinear systems; robotics; fuzzy logics; neural networks; control theory; integral equations
Special Issues, Collections and Topics in MDPI journals
Interests: learning control; adaptive control; robotics; fractional-order system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Many practical dynamic behaviors in the engineering field can be abstracted into fractional-order systems by fractional calculus with the unique properties of heredity and memory, e.g., gyro systems, viscoelastic systems, and many others. As an important concept in control theory, robust control focuses on stabilizing linear and nonlinear systems under modeling errors and external disturbances. Although the robust control of integer-order systems has achieved great success, the unique operational nature of fractional calculus limits the development of robust control theory for fractional-order systems. Meanwhile, adaptive control refers to a control methodology that deals with system uncertainty by adjusting certain online parameter estimates. This is an interesting way of dealing with uncertainty so that the designed controllers usually have strong adaptation. Thus, it is expected that fractional-order systems will yield more robust and adaptive control methods.
This Special Issue pays attention to the modeling, stability analysis, robust control, adaptive control, and application of fractional-order systems. Potential topics for which submissions are encouraged include, but are not limited to, the following:
- Modeling and simulation of fractional order systems;
- Dynamics and stability analysis of fractional order systems;
- Robust control of fractional order systems;
- Adaptive control of fractional order systems;
- Fractional-order neural networks and fuzzy systems;
- Applications fractional-order control methods;
- Fuzzy and neural network control of fractional order systems;
- Composite learning control of fractional order systems;
- Adaptive synchronization of fractional order systems.
Prof. Dr. Heng Liu
Dr. Aldo Jonathan Muñoz–Vázquez
Prof. Dr. Yongping Pan
Guest Editors
Manuscript Submission Information
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Keywords
- fractional-order system
- stability analysis
- adaptive control
- robust control
- fractional calculus
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