18 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…
Nicola Cigarini, Giulia Michieletto, Angelo Cenedese
Nicola Cigarini1, 2 , Giulia Michieletto1, 3 , Angelo Cenedese1, 4 1 Department of Information Engineering University of Padova, Vicenza, Italy 2 Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro, Italy 3 Department of Management and Engineering, University of Padova, Padova…
Huaiyu Teng
—— Co-simulation is a critical approach for the design and analysis of complex cyber-physical systems. It will enhance development efficiency and reduce costs. This paper presents a co-simulation framework integrating ROS 2 and MATLAB/Simulink for quadrotor unmanned aerial vehicle (UAV) control system design and…
Tharinaematam Bhavani, Durgam Rajababu, Md Mujahid Irfan, T. Rakesh + 3 more
As renewable energy sources gain distinction in distributed power generation, micro-grid systems integrating solar photovoltaic (PV), micro-turbine-based wind energy, and flywheel energy storage have developed as sustainable solutions. This paper presents a novel design methodology for a hybrid micro-grid system that…
Kamil Kurpanik, Klaudiusz Gołombek, Edyta Krzystała, Jonasz Hartwich + 2 more
The aim of this study was to conduct an advanced analysis of the MEMS sensor, including both experimental tests and numerical simulations, in order to determine its mechanical properties and operational dynamics in detail. It is challenging to find publications in the literature that are not based on theoretical…
Mohamed Ayman, Mahmoud A. Attia, Ahmed M. Asim
This paper presents an Adaptive Model Predictive Control (AMPC) strategy for robust load-frequency control (LFC) in single-area and double-area power systems under load variations, parameter uncertainty, and renewable energy disturbances. The controller integrates online system identification using Recursive Least…
Songtao Wang, Peiang Wang, Xueqian Wang, Sisi Chen + 2 more
To solve the problems of difficult kinematics modeling and poor real-time performance for a hyper-redundant cable-driven flexible manipulator, a construction method of an intelligent kinematics physics engine based on Bayesian-optimized Long Short-Term Memory (BO-LSTM) network is proposed in this paper. Firstly, the…
Vincent Ton, Seungmoon Song
Neuromechanical simulations provide a powerful framework for investigating how neural control architectures generate and regulate human locomotion. Numerous biologically inspired locomotion controllers have been proposed, including reflex-based, central pattern generator (CPG)-based, and muscle synergy-based models.…
Christoph Kaufmann, Georg Pangalos, Gerwald Lichtenberg, Oriol Gomis-Bellmunt
—This paper proposes a new approach to perform small-signal stability analysis based on linearization of implicit multilinear models. Multilinear models describe the system dynamics by multilinear functions of state, input, and algebraic variables. Using suitable transformations of variables, they can also represent…
Wei Liu, Jonathon Kocz, Dan Werthimer
The CASPER (Collaboration for Astronomy Signal Processing and Electronic Research) toolflow is a widely used framework for designing and implementing digital signal processing systems, particularly in the field of radio astronomy. It provides a set of tools and libraries that enable researchers to create custom…
Eman E. Esmail, Mohamed Fawzy El-Khatib, M. A. Agwa
This paper presents a comparative study of PID, Fuzzy Logic Control (FLC), and Sliding Mode Control (SMC) strategies for trajectory tracking of a nonlinear 3-DOF robotic manipulator. A complete dynamic model is derived using the Euler-Lagrange formulation, incorporating inertia coupling, Coriolis and centrifugal…
Habung Tado, Mrinal Kanti Rajak, Rajen Pudur, Ralli Sangno + 1 more
This paper presents a modified hybrid DC-DC boost converter topology with enhanced voltage gain capability for renewable energy applications, particularly suited for photovoltaic and micro-hydro power integration with high-voltage direct current (HVDC) transmission systems. The proposed topology incorporates a coupled…
Serhii Bahdasariants, Sergiy Yakovenko
Seamless interaction between humans and machines requires interfaces that remain robust to the variability inherent in biological signals and physical environments. Advanced human-machine interfaces (HMIs) increasingly rely on machine learning to predict or control limb dynamics. These systems must learn…
Bernard C. Wang, Raymond Gifford, Nathan C. L. Kong, Feng Ruan + 2 more
MatClassRSA is a MATLAB toolbox that performs magnetoen-cephalography and electroencephalography (M/EEG) classification and other analyses related to Representational Similarity Analysis (RSA). The toolbox is designed for cognitive neuroscience researchers who wish to perform classification-based decoding analyses of…
Khalid Mehrab, Md Zamiul Alam, Shadman Tahmid Haque
This study investigates the performance of cascade PID control architecture applied to an inverted pendulum on a cart system through both simulation and experimental implementation. A nonlinear model of the system was developed using Simscape Multibody in Simulink, while a physical prototype was constructed using a DC…
Montaser Abdelsattar, Ibrahim A. Khalaf, Alaaeldien Hassan, Asmaa G. Ameen
The utilization of renewable energy sources (RESs), including solar and wind, in microgrids (MGs) present a critical challenge for maintaining system stability, mostly because of the elimination of mechanical inertia traditionally provided by synchronous generators. This study presents a controlling technique to guard…
Alex N Popinga, Jack Forman, Dmitri Svetlov, Huy Vo + 1 more
Biological data is prone to both intrinsic and extrinsic noise and variability between experimental replicas. That same stochasticity and heterogeneity can carry information about underlying biochemical mechanisms but, if not incorporated in modeling and probabilistic inference, can also bias parameter estimates and…
Lars D’Hondt, Maarten Afschrift, Friedl De Groote
Human walking is intrinsically variable. For example, there is considerable stride to stride variability even when walking speed is constant. This variability is due to uncertainty in the sensorimotor system and the environment, and is shaped by both musculoskeletal dynamics (e.g. joint stiffness and damping…