A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies [PDF]
Research on fault diagnosis on highly nonlinear dynamic systems such as the engine of a vehicle have garnered huge interest in recent years, especially with the automotive industry heading towards self-driving technologies. This article presents a novel opensource simulation testbed of a turbocharged spark ignited (TCSI) petrol engine system for ...
arxiv +1 more source
Data-Driven Models for Control Engineering Applications Using the Koopman Operator [PDF]
Within this work, we investigate how data-driven numerical approximation methods of the Koopman operator can be used in practical control engineering applications. We refer to the method Extended Dynamic Mode Decomposition (EDMD), which approximates a nonlinear dynamical system as a linear model.
arxiv +1 more source
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines [PDF]
Nowadays, liquid rocket engines use closed-loop control at most near steady operating conditions. The control of the transient phases is traditionally performed in open-loop due to highly nonlinear system dynamics. This situation is unsatisfactory, in particular for reusable engines.
arxiv +1 more source
Energy-based Modelling of the Feedback Control of Biomolecular Systems with Cyclic Flow Modulation [PDF]
Energy-based modelling brings engineering insight to the understanding of biomolecular systems. It is shown how well-established control engineering concepts, such as loop-gain, arise from energy feedback loops and are therefore amenable to control engineering insight.
arxiv +1 more source
Cyber physical systems consist of heterogeneous elements with multiple dynamic features. Consequently, multiple objectives in the optimality of the overall system may be relevant at various times or during certain context conditions.
Clara Ionescu+5 more
doaj +1 more source
Bayesian learning from multi-way EEG feedback for robot navigation and target identification
Many brain-computer interfaces require a high mental workload. Recent research has shown that this could be greatly alleviated through machine learning, inferring user intentions via reactive brain responses.
Christopher Wirth+2 more
doaj +1 more source
Model Predictive Control of Diesel Engine Emissions Based on Neural Network Modeling [PDF]
This paper addresses the control of diesel engine nitrogen oxides (NOx) and Soot emissions through the application of Model Predictive Control (MPC). The developments described in the paper are based on a high-fidelity model of the engine airpath and torque response in GT-Power, which is extended with a feedforward neural network (FNN)-based model of ...
arxiv
A New Approach for Human Forearm Motion Assist by Actuated Artificial Joint-An Inner Skeleton Robot
In order to help the physical activities of the elderly or physically disabled persons, we propose a new concept of a power-assist inner skeleton robot (i.e., actuated artificial joint) that is supposed to assist the human daily life motion from inside ...
Subrata Kumar KUNDU+2 more
doaj +1 more source
Secured Medical Image Hashing Based on Frequency Domain with Chaotic Map [PDF]
Recently, online-medicine got increased global interest, particularly during COVID19 pandemic. Data protection is important in the medical field since when promoting telemedicine applications, it is necessary to protect the patient data and personal ...
Amira Jabbar+2 more
doaj +1 more source
An Advanced Helicopter Engine Control System [PDF]
The Amalgamation of Functions The requirements of the first engine controllers were primarily to satisfy the needs of the engine and, almost as an afterthought, to consider interface with the aircraft and the pilot. The latter resulted in the overwhelming plethora of “essential” ground test‐sets and cockpit instruments that we see today.
openaire +4 more sources