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Implementation of New Predictive Control Based Volterra Model for Fast Dynamic Systems Using Microcontrollers: Real Time Application.
- Source :
- Periodica Polytechnica: Electrical Engineering & Computer Science; 2024, Vol. 68 Issue 2, p115-123, 10p
- Publication Year :
- 2024
-
Abstract
- This paper presents a new contribution in the implementation of Volterra model predictive control for fast dynamics systems. The control approaches considered results on a switch paradigm that combine an online part based on suboptimal solution and an offline part referred to an offline neural network controller. The proposed approach has an advantage in comparison with nonlinear optimization-based control schemes. A real time application on STM32 to control a boost converter is studied and the results show very remarkable performances in time computing. [ABSTRACT FROM AUTHOR]
- Subjects :
- DYNAMICAL systems
SYSTEM dynamics
PREDICTION models
DYNAMIC models
MICROCONTROLLERS
Subjects
Details
- Language :
- English
- ISSN :
- 20645260
- Volume :
- 68
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Periodica Polytechnica: Electrical Engineering & Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 179544702
- Full Text :
- https://doi.org/10.3311/PPee.23033