Results 11 to 20 of about 1,367 (181)

Echtzeit-Implementierung von NMPC [PDF]

atp edition, 2018
Nonlinear Model Predictive Control (NMPC) is an aspiring control method for the implementation of advanced controller behavior. The present work shows the symbolic math implementation of a mechatronic system model containing aerodynamic nonlinearities modeled by Feedforward Neural Networks.
Dragan Obradovic, Stefan Löw
openaire   +2 more sources

NMPC with economic objectives on target manifolds [PDF]

2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017
This paper presents a predictive control approach for stabilizing a target manifold in the state space of a nonlinear system while optimizing economic performance on/near this manifold. The control design is based on a transverse normal form description of the dynamics.
Niels van Duijkeren, Timm Faulwasser, Goele Pipeleers   +2 more
openaire   +2 more sources

Nonlinear model predictive control of a class of continuum robots using kinematic and dynamic models [PDF]

FME Transactions, 2022
Controlling continuum robots with precision is particularly a challenging task due to the complexity of their mathematical models and inaccuracies in modeling approaches.
Amouri Ammar, Cherfia Abdelhakim, Merabti Halim, Laib Dit Leksir Yazid   +3 more
doaj   +1 more source

Nonlinear Model Predictive Growth Control of a Class of Plant-Inspired Soft Growing Robots

IEEE Access, 2020
Recently, researchers have shown an increased interest in considering plants as a model of inspiration for designing new robot locomotions. Growing robots, that imitate the biological growth presented by plants, have proved irresistible in unpredictable ...
Haitham El-Hussieny, Ibrahim A. Hameed, Jee-Hwan Ryu   +2 more
doaj   +1 more source

Nonlinear model predictive control for hexacopter with failed rotors based on quaternions —simulations and hardware experiments—

Mechanical Engineering Journal, 2021
This work applies real-time nonlinear model predictive control (NMPC) to fault-tolerant control problems of an unmanned aerial vehicle (UAV) with failed rotors.
Yusuke AOKI, Yuta ASANO, Akihiko HONDA, Norizumi MOTOOKA, Kenta HOSHINO, Toshiyuki OHTSUKA   +5 more
doaj   +1 more source

Economic NMPC for a Reversible Solid Oxide Cell. [PDF]

Ind Eng Chem Res
Reversible solid oxide fuel cells (rSOCs) offer the flexibility to operate in tandem with the electric grid by switching between fuel cell and electrolysis modes based on real-time electricity prices. However, their complex, tightly coupled dynamic behavior poses significant challenges in determining optimal operating strategies.
Naik SS, Zhao Y, Allan D, Lee S, Biegler LT.   +4 more
europepmc   +3 more sources

HCDRNN-NMPC: A New Approach to Design Nonlinear Model Predictive Control (NMPC) Based on the Hyper Chaotic Diagonal Recurrent Neural Network (HCDRNN)

Complexity, 2022
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 ...
Samira Johari, Mahdi Yaghoobi, Hamid R. Kobravi   +2 more
doaj   +1 more source

LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles

International Journal of Advanced Robotic Systems, 2021
In this article, we introduce a learning-based vision dynamics approach to nonlinear model predictive control (NMPC) for autonomous vehicles, coined learning-based vision dynamics (LVD) NMPC.
Sorin Grigorescu, Cosmin Ginerica, Mihai Zaha, Gigel Macesanu, Bogdan Trasnea   +4 more
doaj   +1 more source

Parallel Real-time Nonlinear Model Predictive Control of DFIG-based Wind Turbines over All Operating Regions [PDF]

AUT Journal of Electrical Engineering, 2023
Nonlinear model predictive control (NMPC) is a viable solution for control problems in the industry. In this paper, a real-time NMPC approach is proposed for the control of wind turbine (WT) over operating regions.
Mohammad Soleymani, Mehdi Rahmani, Nooshin Bigdeli   +2 more
doaj   +1 more source

Experimental Validation of a Guaranteed Nonlinear Model Predictive Control

Algorithms, 2021
This paper combines the interval analysis tools with the nonlinear model predictive control (NMPC). The NMPC strategy is formulated based on an uncertain dynamic model expressed as nonlinear ordinary differential equations (ODEs).
Mohamed Fnadi, Julien Alexandre dit Sandretto   +1 more
doaj   +1 more source