Fractional-Order Model Predictive Control: Development and Application
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Numerical and Computational Methods".
Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 4280
Special Issue Editor
Interests: control theory; predictive and robust control; fractional-order systems; hybrid and switched systems; mechatronics and embedded systems; fault-tolerant control systems
Special Issue Information
Dear Colleagues,
Biological, sociocognitive, and economic phenomena, as well as transport, information, and technological systems often require the description by means of linear or nonlinear, non-integer order differential equations. As a consequence, control systems should often also realize fractional-order control algorithms.
The aim of this Special Issue is to gather a collection of papers reflecting the possibility of employing the more and more popular theory of fractional-order differential (finite difference) calculus for modern predictive control, the practical effectiveness of which has been borne out by numerous industrial applications.
The idea of predictive control, which was put forward several dozen years ago and has been intensely developed since then, is considered to be, after many years of operating experience in industry, one of the most universal and effective control methods. Predictive control enables various signal constraints and various kinds of disturbances to be taken into account and may be employed to control processes with practically any number of inputs and outputs. However, in the case of processes with particularly complex properties, its effectiveness depends on the quality of the process model. Additionally, in the case of nonlinear processes, direct nonlinear control algorithms are often too complex in order for computations to be performed online. Therefore, there is a need to develop new predictive control algorithms to cope effectively with the abovementioned difficult cases and to provide new opportunities for control performance and robustness. The introduction of fractional-order differential calculus at the stage of synthesizing the control algorithm offers an additional degree of freedom in tuning a control loop; on the other hand, it enables the specific properties of the controlled process to be better taken into account.
Articles submitted to this Special Issue may focus on research relating to fractional-order model predictive control and its applications to real dynamic systems modeled using integer- and/or fractional-order differential equations. Other important subjects, such as example numerical and computational aspects of proposed control algorithms, may also be explored.
Prof. Dr. Stefan Domek
Guest Editor
Manuscript Submission Information
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Keywords
- model predictive control
- fractional-order control theory
- fractional-order dynamic models
- fractional-order controllers and observers
- analytical and computational methods for fractional-order systems
- implementation of fractional-order control
