Soft sensors for state of charge, state of energy, and power loss in formula student electric vehicle

K Purohit, S Srivastava, V Nookala, V Joshi… - Applied System …, 2021 - mdpi.com
The proliferation of electric vehicle (EV) technology is an important step towards a more
sustainable future. In the current work, two-layer feed-forward artificial neural-network-based …

Machine learning for process control of (bio) chemical processes

A Himmel, J Matschek, R Kok, B Morabito… - arXiv preprint arXiv …, 2023 - arxiv.org
The control of manufacturing processes must satisfy high quality and efficiency requirements
while meeting safety requirements. A broad spectrum of monitoring and control strategies …

An ARX model-based predictive control of a semi-active vehicle suspension to improve passenger comfort and road-holding

A Piñón, A Favela-Contreras, LC Félix-Herrán… - Actuators, 2021 - mdpi.com
Passenger comfort and vehicle stability are key aspects that must be guaranteed on ground
vehicles, and semi-active suspensions have offered an outstanding solution to meet these …

Hyperparameter optimization for the LSTM method of AUV model identification based on Q-learning

D Wang, J Wan, Y Shen, P Qin, B He - Journal of Marine Science and …, 2022 - mdpi.com
An accurate mathematical model is a basis for controlling and estimating the state of an
Autonomous underwater vehicle (AUV) system, so how to improve its accuracy is a …

Proportional-integral-derivative control of nonlinear half-car electro-hydraulic suspension systems

JED Ekoru, JO Pedro - Journal of Zhejiang University SCIENCE A, 2013 - Springer
This paper presents the development of a proportional-integral-derivative (PID)-based
control method for application to active vehicle suspension systems (AVSS). This method …

PID control of a nonlinear half-car active suspension system via force feedback

JED Ekoru, OA Dahunsi, JO Pedro - IEEE Africon'11, 2011 - ieeexplore.ieee.org
This paper presents the design of a two-loop, force/suspension travel PID control system, for
a four degree-of-freedom (DOF), nonlinear, half-car active vehicle suspension system …

Machine learning for control of (bio) chemical manufacturing systems

A Himmel, J Matschek, R Kok, B Morabito… - Artificial Intelligence in …, 2024 - Elsevier
The control of manufacturing processes must satisfy high-quality and efficiency requirements
while meeting safety requirements. A broad spectrum of monitoring and control strategies …

[PDF][PDF] Mathematical modelling and PID controller implementation to control linear and nonlinear quarter car active suspension

M Najm, A Younis, F Majeed - Al-Rafidain Engineering Journal, 2023 - iasj.net
In this work, linear and nonlinear designs of active suspension models are proposed to
develop and improve carquarter systems. To simplify stability assessment, a second-order …

Robot Self-Awareness: Temporal Relation Based Data Mining.

A Gorbenko, V Popov, A Sheka - Engineering Letters, 2011 - search.ebscohost.com
A self-aware system has the possibility of dealing with novel situations more effectively than
a system without self-awareness, because it would have the capacity for introspection that …

The c-Fragment Longest Arc-Preserving Common Subsequence Problem

A Gorbenko, V Popov - 2012 - elar.urfu.ru
Arc-annotated sequences are useful in representing the structural information of RNA and
protein sequences. In particular, arc-annotated sequences are useful in describing the …