23 papers · ranked by Valyu relevance
Kenshin Obi, Takumi Onozawa, Fujimoto, Hiroshi + 1 more
—In recent years, autonomous vehicles have attracted attention as one of the solutions to various social problems. However, autonomous driving software requires real-time performance as it considers a variety of functions and complex environments. Therefore, this paper proposes a parallelization method for autonomous…
Alejandro Ojeda, Nathalie Buscher, Pragathi Balasubramani, Vojislav Maric + 2 more
A promising application of BCI technology is in the development of personalized therapies that can target neural circuits linked to mental or physical disabilities. Typical BCIs, however, offer limited value due to simplistic designs and poor understanding of the conditions being treated. Building BCIs on more solid…
Nuno Guedelha, Venus Pasandi, Giuseppe L’Erario, Silvio Traversaro + 1 more
'Daniele Pucci'] Abstract—Physics simulators are widely used in robotics fields, from mechanical design to dynamic simulation, and controller design. This paper presents an open-source MATLAB/Simulink simulator for rigid-body articulated systems, including manipulators and floating-base robots. Thanks to…
Beatriz A. Sanchez, Athanasios Zolotas, Horacio Hoyos Rodriguez, Dimitris Kolovos + 3 more
'Dimitris Kolovos' 'Richard F. Paige' 'Justin C. Cooper' 'Jason Hampson'] Open-source model management frameworks such as OCL and ATL tend to focus on manipulating models built atop the Eclipse Modelling Framework (EMF), a de facto standard for domain specific modelling. MATLAB Simulink is a widely used proprietary…
Ricardo M. Czekster
The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided into cyber (software) and physical (hardware) counterparts that complement each other. It is responsible for timely power provision wrapped by Information and Communication Technologies (ICT) for handling bi-directional…
Kaier Wang, Moira L Steyn-Ross, D Alistair Steyn-Ross, Marcus T Wilson + 2 more
'Marcus T Wilson' 'Jamie W Sleigh' 'Yoichi Shiraishi'] Background Investigation of the nonlinear pattern dynamics of a reaction-diffusion system almost always requires numerical solution of the system’s set of defining differential equations. Traditionally, this would be done by selecting an appropriate differential…
Rajaperumal T. A, Christopher Columbus Chinnappan
This study presents a comprehensive hybrid forecasting framework that synergizes machine learning algorithms, MATLAB Simulink-based physical modeling, and Physics-Informed Neural Networks (PINNs) to advance wind power prediction accuracy for a 10 kW Permanent Magnet Synchronous Generator (PMSG)-based Wind Energy…
Leo Raju, R. S. Milton, Senthilkumaran Mahadevan
The objective of this paper is implementation of multiagent system (MAS) for the advanced distributed energy management and demand side management of a solar microgrid. Initially, Java agent development environment (JADE) frame work is used to implement MAS based dynamic energy management of solar microgrid. Due to…
Marcel Nicola, Claudiu-Ionel Nicola, Cosmin Ionete, Dorin Șendrescu + 3 more
'Monica Roman' 'Marian Barbu' 'Răzvan Șolea'] This paper summarizes a robust controller based on the fact that, in the operation of a permanent magnet synchronous motor (PMSM), a number of disturbance factors naturally occur, among which both changes in internal parameters (e.g., stator resistance Rs and combined…
Rafael Morales, Fernando Rincón, Julio Dondo Gazzano, Juan Carlos López
'Juan Carlos López'] Time derivative estimation of signals plays a very important role in several fields, such as signal processing and control engineering, just to name a few of them. For that purpose, a non-asymptotic algebraic procedure for the approximate estimation of the system states is used in this work. The…
Stewart Heitmann, Matthew Aburn, Michael Breakspear
The Brain Dynamics Toolbox provides a graphical tool for simulating user-defined dynamical systems in matlab. It supports three classes of differential equations commonly used in computational neuroscience: Ordinary Differential Equations, Delay Differential Equations and Stochastic Differential Equations. The design…
Muhammad I. Azeez, A. M. M. Abdelhaleem, S. Elnaggar, Kamal A. F. Moustafa + 1 more
'Kamal A. F. Moustafa' 'Khaled R. Atia'] The aim of this study is to enhance the performance of a nonlinear three-rigid-link maneuver (RLM) in terms of trajectory tracking, disturbance and noise cancellation, and adaptability to joint flexibility. To achieve this, an optimized sliding mode controller with a…
Н. В. Кузнецов, О. А. Кузнецова, Г. А. Леонов, P. Neittaanmuaki + 2 more
'M. V. Yuldashev' 'R. V. Yuldashev'] Abstract— Nonlinear analysis of the classical phase-locked loop (PLL) is a challenging task. In classical engineering literature simplified mathematical models and simulation are widely used for its study. In this work the limitations of classical engineering phase-locked loop…
Ali Kharrazi
In this paper the use of artificial neural network in power system stability is studied. A predictive controller based on two neural networks is designed and tested on a single machine infinite bus system which is used to replace conventional power system stabilizers. They have been used for decades in power system to…
Gábor Holló, Jung Hun Park, Emanuele Boni, Yolanda Schaerli
Modeling and simulating gene regulatory networks (GRNs) is crucial for understanding biological processes, predicting system behavior, guiding the design of synthetic biological systems, and interpreting experimental data. In synthetic biology, GRNs play a pivotal role in enabling the design and control of complex…
Osama Abdalla, Sherif A. Hammad, Hassan Yousef
This paper presents a simple framework of low cost Kit which can be used in control education and training courses to support hardware in the loop simulation. The kit shows the student or control engineer the effect of delays, noise, and saturation on the control system. The framework is generic and flexible to give…
Authors not listed
This paper presents the Multi Cell-line Kinetic Model (MCKM), a novel generalised kinetic mechanistic model specifically tailored for Ambr15™ fed-batch cultivations of multiple Chinese Hamster Ovary (CHO) cell lines producing different recombinant monoclonal antibodies (mAbs). Unlike traditional models that requires…
Tobias Seidel, Lena-Marie Ränger, Thomas Grützner, Michael Bortz
In this work we present a new approach that we use to simulate and optimize multiple dividing wall columns at the same time. Instead of considering all model equations as constraints and all process variables as optimization variables in a large and highly nonlinear optimization problem we only incorporate a subset of…
Anandh Swaminathan, William Poole, Victoria Hsiao, Richard M. Murray
In systems and synthetic biology, it is common to build chemical reaction network (CRN) models of biochemical circuits and networks. Although automation and other high-throughput techniques have led to an abundance of data enabling data-driven quantitative modeling and parameter estimation, the intense amount of…
harry gray
The matrix exponential method as implemented in MATLAB is demonstrated as a facile tool for solving the time-dependent concentrations of an arbitrary chemically reactive network modelled as a coupled linear system of first-order differential equations. The method is used to verify a 10 species network incorporating…
Francis Gagnon, Alex Thivierge, André Desbiens, Fredrik Bagge Carlson
'Fredrik Bagge Carlson'] Proprietary closed-source software is still the norm in advanced process control. Transparency and reproducibility are key aspects of scientific research. Free and open-source toolkit can contribute to the development, sharing and advancement of new and efficient control approaches, and the…
Erickson Fajiculay, Chao-Ping Hsu
Modeling biochemical systems can provide insights into behaviors that are difficult to observe or understand. It requires software, programming, and understanding of the system to build a model and study it. Softwares exist for systems biology modeling, but most support only certain types of modeling tasks. Desirable…
Bryan Wong, Cameron Chevalier
We present an open-source software package, HADOKEN (High-level Algorithms to Design, Optimize, and Keep Electrons in Nanowires), for predicting electron confinement/localization effects in nanowires with various geometries, arbitrary number of concentric shell layers, doping densities, and external boundary…