Results 61 to 70 of about 1,367 (181)

Research on the Optimisation of Natural Gas Layered Scheduling for Offshore Platforms Based on Improved GA and MPC

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
This study presents a hierarchical optimisation strategy combining an improved genetic algorithm with model predictive control, validated through a digital twin framework. The method improves convergence accuracy, computational efficiency and response speed, while demonstrating robustness across complex multiscenario conditions.
Xiaoguang Zhang, Xiaoyong He, Yutong Zhong, Xiaoyong Gao, Wenxin Zhan   +4 more
wiley   +1 more source

Towards Necessary and Sufficient Stability Conditions for NMPC

IFAC-PapersOnLine, 2021
The analysis of convergence and stability conditions for Non-linear Model Predictive Control (NMPC) schemes has seen significant progress during the last decades. Numerous results in the literature state sufficient conditions for convergence and/or stability of NMPC. Yet, necessary and sufficient conditions are—to the best of the author's knowledge—not
openaire   +1 more source

Estimation of Unmodeled Dynamics: Nonlinear MPC and Adaptive Control Law With Momentum Observer Dynamic

IEEE Access
This article proposes an enhancement to estimate unmodeled dynamics within the simplified dynamic model of a quadcopter by integrating three key methodologies: Nonlinear Model Predictive Control (NMPC), a Momentum Observer Dynamics (MOD), and an adaptive
Bryan S. Guevara, Luis F. Recalde, Viviana Moya, Jose Varela-Aldas, Daniel C. Gandolfo, Juan M. Toibero   +5 more
doaj   +1 more source

An Improved Rapidly‐Exploring Approach to Off‐Road Path Planning by Leveraging Dynamic Velocity Constraints and Trajectory Smoothing

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
ABSTRACT Off‐road path planning and navigation often struggle with complex challenges, such as diverse surface conditions that demand adaptability, stability‐sensitive vehicle dynamics on low‐adhesion terrain, and the persistent trade‐off between real‐time performance and path quality.
Jiang Song, Shucai Xu, Chun Feng, Liqun Peng   +3 more
wiley   +1 more source

A Survey: Energy Optimisation Approaches in Urban Rail Systems (AI‐Based and Non‐AI‐Based)

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a systematic review of energy optimisation strategies for urban rail systems, covering speed profile, timetable, regenerative braking, energy storage and power‐supply optimisation. We synthesise methodological trends and reported energy‐saving performance across AI‐based and non‐AI approaches.
Cakra Adipura Wicaksana, Zhongbei Tian, Stuart Hillmansen   +2 more
wiley   +1 more source

Safety-Constrained Adaptive NMPC-APF With Dynamic Terminal and Input-Rate Weighting for Reliable UAV Obstacle Avoidance

IEEE Access
Nonlinear Model Predictive Control (NMPC) offers high accuracy in quadrotor trajectory tracking but lacks inherent reactive capability to obstacles. Relatively, the Artificial Potential Field (APF) method can provide fast obstacle response but suffers ...
Erwin Ardias Saputra, Hsiu-Ming Wu
doaj   +1 more source

A Non-linear Model Predictive Control Based on Grey-Wolf Optimization Using Least-Square Support Vector Machine for Product Concentration Control in l-Lysine Fermentation

Sensors, 2020
l-Lysine is produced by a complex non-linear fermentation process. A non-linear model predictive control (NMPC) scheme is proposed to control product concentration in real time for enhancing production.
Bo Wang, Muhammad Shahzad, Xianglin Zhu, Khalil Ur Rehman, Saad Uddin   +4 more
doaj   +1 more source

Rolling Multi‐Objective Trajectory Planning for Connected and Automated Heavy Vehicles Based on the Tolerance Lexicographic Method

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This study proposes a tolerance lexicographic optimization framework for Connected and Automated Heavy Vehicles (CAHV) to achieve safe, efficient, and eco‐friendly trajectory planning on freeways. The method dynamically balances multiple objectives and accounts for surrounding Manual Vehicle (MV) behaviors.
Xiangwang Hu, Jiaxin Tong, Wenjuan E, Mingyang Liu, Mengyao Hua, Xiang Wang   +5 more
wiley   +1 more source

Centralized Nonlinear Model Predictive Control for Energy Efficient Thermal Management in Battery Electric Vehicles

World Electric Vehicle Journal
Thermal management is a key factor for the efficiency, performance, and reliability of battery electric vehicles (BEVs), particularly in systems with strongly coupled components and heterogeneous thermal dynamics.
Marcell Misznéder, Ulrich Rengstl, Manuel Hopp-Hirschler, Ulrich Nieken   +3 more
doaj   +1 more source

Monoclonal Antibodies Manufacturing in a Fed-Batch Bioreactor Using Economic Nonlinear Model Predictive Control with Extended Kalman Filter [PDF]

Iranian Journal of Chemistry & Chemical Engineering
Monoclonal antibodies (mAb) are used in various medical applications including targeted treatment of autoimmune diseases and cancer. Since mAb are typically produced in fed-batch reactors, it is economically desirable to maximize the amount of mAb ...
Mohammad Hadi Alizadeh, Ali Mohammad Sahlodin   +1 more
doaj   +1 more source