Results 31 to 40 of about 158,156 (223)

Simulation-based comparison of robust control and deep reinforcement learning control techniques for active suspension systems

Systems Science & Control Engineering
Modern vehicular systems rely heavily on suspension performance for ride comfort, handling stability, and safety. Conventional passive suspensions, while common, cannot adapt to changing road conditions. Active suspension systems overcome this limitation
Arya Hariharan, K V S Rajeswara Rao, K K Hruthik, Arya S Patil, Vamshi Krishna, Shravni Kinange, Anamika Yadav   +6 more
doaj   +1 more source

Low-Cost Heaving Single-Buoy Wave-Energy Point Absorber Optimization for Sardinia West Coast

Journal of Marine Science and Engineering, 2022
This work presents the Water Energy Point Absorber (WEPA), which is a heaving single-buoy point absorber optimized for a specific site off the west coast of Sardinia Island.
Marcello Rava, Panagiotis Dafnakis, Vittorio Martini, Giuseppe Giorgi, Vincenzo Orlando, Giuliana Mattiazzo, Giovanni Bracco, Andrea Gulisano   +7 more
doaj   +1 more source

Non-linear control model for use in greenhouse climate control systems

Research in Agricultural Engineering, 2022
In this study, a non-linear control system was designed and proposed to control the greenhouse climate conditions. This control system directly uses the information of sensors, installed inside and outside the greenhouse.
Jalal Javadi Moghaddam, Ghasem Zarei, Davood Momeni, Hamideh Faridi   +3 more
doaj   +1 more source

Evaluation of HIV infected Cells [PDF]

, 2010
In this paper, Human Immunodeficiency Virus (HIV) infected cells is found out using a Simulink model. The Simulink solution is equivalent or very close to the exact solution of the problem. Accuracy of the Simulink solution to this problem is better than
Kumaresan Nallasamy
core   +1 more source

Lead‐Free Bismuth Halide Perovskite Memristors: Low‐Voltage Switching and Physical Modeling of Resistive Hysteresis

Advanced Materials Technologies, EarlyView.
Lead‐free bismuth halide perovskite memristors exhibit stable low‐voltage resistive switching behavior. The conductance‐activated quasi‐linear memristor model quantitatively reproduces the experimental hysteresis, confirming ion migration‐driven filament dynamics.
So‐Yeon Kim, Gonzalo Rivera‐Sierra, Bitania Shiferaw Mengesha, Benjamin Iniguez, Juan Bisquert   +4 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

РОЗРОБКА ТА ІНТЕГРАЦІЯ МОДЕЛІ ТЕПЛОВОГО НАСОСА НА ОСНОВІ НЕЙРОННОЇ МЕРЕЖІ В СЕРЕДОВИЩЕ SIMULINK ДЛЯ МОДЕЛЮВАННЯ СИСТЕМ ОПАЛЕННЯ БУДИНКУ

Автоматизация технологических и бизнес-процессов
У статті детально описано процес розроблення та інтеграції в середовище Simulink моделі теплонасосної установки на основі нейронної мережі LSTM. Ця модель дає можливість моделювати роботу системи теплозабезпечення будинку з урахуванням змінних зовнішніх ...
М. C. Богза, В. А. Волощук   +1 more
doaj   +1 more source

A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions

Advanced Science, EarlyView.
This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies, Emanuele Nicotra, Kefan Zhu, Chi Cong Nguyen, Bibhu Sharma, Adrienne Ji, Phuoc Thien Phan, Jingjing Wan, Patrick Pruscino, Hermione Truong, Jelena Rnjak‐Kovacina, Hoang‐Phuong Phan, Christopher Hayward, Nigel Hamilton Lovell, Thanh Nho Do   +14 more
wiley   +1 more source

Identification of the elbow motion kinematic parameters by means of artificial neural networks technology

Advanced Engineering Research, 2015
The research objective is to study elbow flexion kinematic parameters using the artificial neural networks (ANN). Parameters of the surface electromyogram (sEMG) are used as ANN inputs. The ANN output is kinematic parameters of motion: direction, angular
Felix Bonilla, Evgeny Anatolyevich Lukyanov, Anatoly Vitalyevich Litvin, Dmitry Alexeyevich Deplov   +3 more
doaj   +1 more source

Розробка автономних web-сервисів для імітаційного моделювання динамічних систем в реальному часі на базі моделей MATLAB Simulink

Автоматизация технологических и бизнес-процессов, 2020
У статті розглянута задача розробки автономного web-сервісу на базі Simulink моделей. Запропоновано технологію, яка полягає в розробці комплексу з двох пов'язаних окремих додатків: консольного застосування на мові Сі на базі коду, який генерує Simulink ...
А. О. Стопакевич, О. А. Стопакевич, А. М. Тігарєв, Т. Г. Тігарєва   +3 more
doaj   +1 more source