Results 61 to 70 of about 584 (163)

Recent Meta-Heuristics Improved by Self-Adaptation Applied to Nonlinear Model-Based Predictive Control

IEEE Access, 2020
Nonlinear Model-based Predictive Control (NMPC) is a relevant research area having applications in the industrial sector. Traditionally, in this technique, gradient descent algorithms have been used to solve the related optimization problem.
Eduardo De Mendonca Mesquita, Renato Coral Sampaio, Helon Vicente Hultmann Ayala, Carlos Humberto Llanos   +3 more
doaj   +1 more source

SEP-NMPC: Safety Enhanced Passivity-Based Nonlinear Model Predictive Control for a UAV Slung Payload System

CoRR
Model Predictive Control (MPC) is widely adopted for agile multirotor vehicles, yet achieving both stability and obstacle-free flight is particularly challenging when a payload is suspended beneath the airframe. This paper introduces a Safety Enhanced Passivity-Based Nonlinear MPC (SEP-NMPC) that provides formal guarantees of stability and safety for a
Seyedreza Rezaei, Junjie Kang, Amaldev Haridevan, Jinjun Shan   +3 more
openaire   +2 more sources

A Framework for the Solution of Tree‐Coupled Saddle‐Point Systems

Numerical Linear Algebra with Applications, Volume 32, Issue 6, December 2025.
ABSTRACT We consider the solution of saddle‐point systems with a tree‐based block structure, introducing a parallelizable direct method for their solution. As our key contribution, we then propose several structure‐exploiting preconditioners to be used during applications of the GMRES algorithm and analyze their properties.
Christoph Hansknecht, Bernhard Heinzelreiter, John W. Pearson, Andreas Potschka   +3 more
wiley   +1 more source

Optimizing Unmanned Air–Ground Vehicle Maneuvers Using Nonlinear Model Predictive Control and Moving Horizon Estimation

Automation
In this paper, Nonlinear Model Predictive Control (NMPC) and Nonlinear Moving Horizon Estimator (NMHE) are combined to control, in a distributed way, a heterogeneous fleet composed of a steering car and a quadcopter.
Alessandra Elisa Sindi Morando, Alessandro Bozzi, Simone Graffione, Roberto Sacile, Enrico Zero   +4 more
doaj   +1 more source

A Crane Overload Protection Controller for Blade Lifting Operation Based on Model Predictive Control

Energies, 2018
Lifting is a frequently used offshore operation. In this paper, a nonlinear model predictive control (NMPC) scheme is proposed to overcome the sudden peak tension and snap loads in the lifting wires caused by lifting speed changes in a wind turbine blade
Zhengru Ren, Roger Skjetne, Zhen Gao
doaj   +1 more source

Enhanced Sampled‐Data Model Predictive Control via Nonlinear Lifting

International Journal of Robust and Nonlinear Control, Volume 35, Issue 18, Page 7621-7632, December 2025.
ABSTRACT This paper introduces a novel nonlinear model predictive control (NMPC) framework that incorporates a lifting technique to enhance control performance for nonlinear systems. While the lifting technique has been widely used in linear systems to capture intersample behavior, their application to nonlinear systems remains unexplored.
Nuthasith Gerdpratoom, Fumiya Matsuzaki, Yutaka Yamamoto, Kaoru Yamamoto   +3 more
wiley   +1 more source

Nonlinear Model Predictive Control for a Self-Balancing Wheelchair

IEEE Access
The self-balancing wheelchair is characterized by its small size, flexibility, and strong ground adaptability. To expand the control range of the pitch angle and enhance the stability of the self-balancing wheelchair, this paper presents a nonlinear ...
Chen Liu, Kairong Qin, Guiyang Xin, Chengbao Li, Sibo Wang   +4 more
doaj   +1 more source

Design of a Nonlinear Model Predictive Controller for a Hydro-turbine Governing System

发电技术, 2020
The nonlinear terms of the hydro-turbine governing system (HTGS) were approximated based on Maclaurin series. Takagi-Sugeno (TS) fuzzy control was introduced to handle the nonlinear terms of the Maclaurin series, and TS models of the HTGS were developed ...
Wenjun ZHOU
doaj   +1 more source

Nonlinear Model Predictive Control (NMPC) based shared autonomy for bilateral teleoperation in CFETR Remote Handling

Nuclear Engineering and Technology
During the process of bilateral teleoperation, operators not only need to perform complex maintenance tasks but also have to constantly monitor the safety of the operation, leading to reduced operational efficiency. Therefore, in this paper, we introduce a shared autonomous scheme that intervenes in the operator's command input when necessary ...
Jun Zhang, Xuanchen Zhang, Yong Cheng, Yang Cheng, Qiong Zhang, Kun Lu   +5 more
openaire   +2 more sources

AI‐Based Autonomous Sailboat Navigation: A Review

Journal of Field Robotics, Volume 42, Issue 8, Page 4157-4180, December 2025.
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina, André P. D. Araújo, Raphael Guerra, Esteban W. G. Clua, Carlo Cernicchiaro, Luiz M. G. Gonçalves, Cosimo Distante   +6 more
wiley   +1 more source