HCDRNN-NMPC: A New Approach to Design Nonlinear Model Predictive Control (NMPC) Based on the Hyper Chaotic Diagonal Recurrent Neural Network (HCDRNN)
In industrial applications, Stewart platform control is especially important. Because of the Stewart platform’s inherent delays and high nonlinear behavior, a novel nonlinear model predictive controller (NMPC) and new chaotic neural network model (CNNM) are proposed. Here, a novel NMPC based on hype...
Saved in:
| Main Authors: | Samira Johari, Mahdi Yaghoobi, Hamid R. Kobravi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/1006197 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic parking trajectory planning in narrow spaces based on Hybrid A* and NMPC
by: Pei Zhang, et al.
Published: (2025-01-01) -
Position-Keeping Method for Unmanned Sailboats Based on NMPC Maximum Speed and Heading Control
by: Kai Liu, et al.
Published: (2025-03-01) -
PSO-NMPC control strategy based path tracking control of mining LHD (scraper)
by: Ya Liu, et al.
Published: (2024-11-01) -
NMPC-Based 3D Path Tracking of a Bioinspired Foot-Wing Amphibious Robot
by: Heqiang Cao, et al.
Published: (2025-05-01) -
Learning-Based Variable Admittance Control Combined with NMPC for Contact Force Tracking in Unknown Environments
by: Yikun Zhang, et al.
Published: (2025-06-01)