Results 161 to 170 of about 410,243 (313)

Single DC-Link Current Sensor Control of PMSM Based on Discrete Space Vector Modulation Model Predictive Control

IEEE Access
The single dc-link current sensor control of permanent magnet synchronous motor (PMSM) based on model predictive control (MPC) combines the advantages of high dynamic response of model prediction and low complexity of single current sensor.
Peng Liu, Nailong Zong, Zhicheng Yin, Liwei Liu, Lisi Tian, Xianming Deng   +5 more
doaj   +1 more source

Dynamic Event‐Triggered Robust Model Predictive Control for Quadrotor Trajectory Tracking

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the trajectory tracking problem for a full‐state quadrotor subject to physical model constraints and unknown external disturbances. A robust tube‐based model predictive control (MPC) approach is successfully applied to the system, which is subject to bounded disturbances and hard constraints.
Ali Can Erüst, Fatma Yıldız Taşcıkaraoğlu, İbrahim Beklan Küçükdemiral   +2 more
wiley   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Model predictive control (MPC) with integral action; Reducing the control horizon and model free MPC

, 2015
Model Predictive Control (MPC) is the most widely used strategy in process industries due to remarkable features. It has the capability to control the non-minimum phase, unstable processes and handle the constraints in a systematic way. MPC with integral action is an effective method to achieve the offset free control which can remove the unknown ...
openaire   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Enhancing fuel cell performance through a dual MPC strategy for coordinated temperature management

Frontiers in Energy Research
Ensuring the optimal operating temperature is imperative for achieving efficient performance in proton exchange membrane fuel cells. Consequently, this study introduces a dual-model predictive control strategy to regulate the water pump and cooling fan ...
Lidong Liu, Mengli Zhang, Jianjun Gong
doaj   +1 more source

Evaluation of systemic consequences of brachycephalic obstructive airway syndrome in dogs

Veterinary Record, EarlyView.
Abstract Background Brachycephalic obstructive airway syndrome (BOAS) results from upper airway anatomical abnormalities and may cause systemic effects depending on severity. Methods A prospective, case‒control and observational study was conducted.
Andréia Coutinho Facin, Ariadne Rein, Isabella de Almeida Fabris, Beatriz Gasser, Luiz Paulo Nogueira Aires, Bruna Bressianini Lima, Daniele Azevedo Gandra, Daniela Gomes da Silva, Ricardo Andrés Ramirez Uscategui, Gabriela Castro Lopes Evangelista, Marcus Antônio Rossi Feliciano, Paola Castro Moraes   +11 more
wiley   +1 more source

Fixed‐Time Zeroing Neural Dynamics for Adaptive Coordination of Multi‐Agent Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents an adaptive multi‐agent coordination (AMAC) strategy suitable for complex scenarios, which only requires information exchange between neighbouring robots. Unlike traditional multi‐agent coordination methods that are solved by neural dynamics, the proposed strategy displays greater flexibility, adaptability and scalability ...
Cheng Hua, Xinwei Cao, Jianfeng Li, Shuai Li   +3 more
wiley   +1 more source

Model Predictive Control (MPC) of quadrotors using LPV techniques

, 2020
This Thesis objective was to apply Model predictive control (MPC) on a quadcopters using linear parameter varying (LPV) techniques. In order to do so the non-linear mathematical model of the quadcopter was put in the Linear Parameter Varying (LPV) form in order to be able to use the most basic Model Predictive Control (MPC) strategy, developed for ...
openaire   +1 more source

Dynamic Neural‐Model‐Based Predictive Control for Autonomous Wheel‐Legged Robot System

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Mobile wheel‐legged robots exhibiting mobility, stability and reliability have garnered heightened research attention in demanding real‐world scenarios, especially in material transport, emergency response and space exploration. The kinematics model merely delineates the geometric relationship of the controlled objective, disregarding force ...
Jiehao Li, Junzheng Wang, Hongbo Gao, Xiwen Luo, C. L. Philip Chen   +4 more
wiley   +1 more source