Systems Dynamics - Science topic

The International Conference on Mechanical System Dynamics 2025, which will be held in Cluj-Napoca (Romania) between September 23 and 27, 2025, is a major event organized by the International Society on Mechanical System Dynamics that attracted in the previous editions around 1000 participants per event.

ICCAD’25 will be held in July 1-3, 2025 in Barcelona, Spain. Our conference is a forum for presenting excellent results and new challenges facing the field of the reliability and availability of Control, Automation and Diagnosis. It brings together experts from industry, governments and academia, experienced in engineering, design and research. Thi...

This article focuses on evaluating the prospects and potential that Colombia possesses for achieving a complete transition to electric vehicles (EV), with the goal of reaching a 100% penetration of such vehicles by the year 2050. To address this challenge, four potential scenarios are proposed, each based on different approaches and strategies. To...

This study investigates the hydraulic performance of an Ogee spillway under varying flow rate conditions, gate opening heights, and spillway widths. Numerical simulations using Flow-3D, incorporating the (k-ε) turbulence model and Large Eddy Simulation (LES), were employed alongside surrogate models using MATLAB codes and LP-TAU to predict flow beh...

Robotics has rapidly advanced, revolutionizing manufacturing, healthcare, agriculture, and logistics industries. These advances have enabled robots to perform increasingly complex tasks with greater efficiency and adaptability. However, robotic control remains a major challenge due to robotic systems' complex dynamics, nonlinearities, and uncertain...

The need to reduce emissions in the oil and gas (O&G) sector is boosting studies aiming to integrate renewable energy sources (RES) and replace fossil fuel generation. Several studies address the frequency control in isolated grids. Still, there's a lack of studies focused on frequency support in O&G facilities, where high demand, space, and weight...

The building sector holds significant potential to mitigate climate change by adopting the circular economy. However, its transition is impeded by fragmented stakeholder engagement arising from complex socio-organisational dynamics. To address this, this article adopted the system dynamics (SD) modelling tool, which enables structured visualisation...

In this research, we present a novel nonlinear model of the extended \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(2+1)$$\end{document}-dimensional Calogero-Bogoyavl...

This article investigates the finite-time leader-following formation control (LFC) problem for multiple unmanned surface vehicles (USVs) subject to disturbances and hybrid irregular (HI) output constraints. Here, the HI output constraint refers to a generalized output constraint that alternates irregularly among unilateral (only upper or lower) con...

To model distributed and concurrent systems, cellular automata (CA) researchers have introduced the notion of fully asynchronous cellular automata (ACA) with atomicity property where the automata system does not allow simultaneous update of two neighbouring cells. Moreover, this fully ACA also breaks the traditional notion of global clock in cellul...

Background Motorway food environments are dominated by roadside restaurants and petrol station stores offering predominantly unhealthy quick-service meals and foods for on-the-go consumption. Improving these environments to promote healthier diets is necessary, but how to achieve this is not fully understood. Therefore, this study aims to identify...

Hydrostatic transmissions are essential in applications demanding variable torque and speed, such as mining and agricultural machinery, due to their compact design, high power-to-weight ratio, and efficient variable speed control. Despite these advantages, their inherent nonlinearities and susceptibility to parametric uncertainties pose significant...

In the parallel steering coordination control strategy for path tracking, it is difficult to match the current driver steering model using the fixed parameters with the actual driver, and the designed steering coordination control strategy under a single objective and simple conditions is difficult to adapt to the multi-dimensional state variables’...

Purpose: This study examines the intellectual, thematic, and geographical evolution of green technology in the nexus of sustainability, innovation, and renewable energy (2004-2025Q1), clarifying the field's transition from technology-centric enquiry to systemic-transition science. Methodology: A bibliometric review of 498 Scopus-indexed articles wa...

The primary driving force for the impending threat of global warming is the heightened concentration of carbon dioxide (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$...

Torque-controlled actuators are critical components in mechatronic systems that closely interact with their environment, such as legged robots, collaborative manipulators, and exoskeletons. The performance and stability of these actuators depend not only on controller design and system dynamics but also significantly on load characteristics, which...

In a turbomachine, the seal is a key flow control device. The highly complex flow behavior in the seal is featured by strong circumferential flow, and such flow causes the uneven circumferential pressure distribution, inducing the destabilizing tangential force that makes the rotor unstable. This raises safety concerns for various turbomachines. Re...

Asymmetries in bistable energy harvesters — arising from manufacturing tolerances, assembly misalignments, or operational conditions — are traditionally viewed as detrimental to performance. This study challenges that as- sumption through a comprehensive experimental investigation, demonstrating that controlled asymmetries can, under specific condi...

This study presents a new system for managing traffic in real-time using YOLOv8 detection technology. The system dynamically adjusts traffic signals when emergency vehicles are detected, ensuring smoother traffic flow and improved road safety. By processing data from multiple cameras with advanced deep learning algorithms, it can make fast and adap...

This research presents an innovative framework to enhance computational efficiency in Internet of Things (IoT) ecosystems by leveraging a hybrid edge-cloud offloading mechanism integrated with adaptive learning models. The proposed system dynamically selects offloading decisions by considering factors such as task complexity, network conditions, an...

A lens array is often used for optical components of sensing devices, requiring high surface quality and form accuracy. Fast tool servo (FTS)-based diamond turning is one of the technologies for manufacturing complicated shapes, such as freeform optics, structured surfaces, and microlens arrays, with high machining efficiency. In this study, lens a...

Locally active memristors (LAMs) are a class of emerging nonlinear dynamic circuit elements that hold promise for scalable yet biomimetic neuromorphic circuits. Starting from a physics-based compact model, we performed small-signal linearization analyses and applied Chua’s local activity theory to a one-dimensional, locally active vanadium dioxide...

Human activities such as food production, mining, transportation, and construction have extensively modified Earth’s land and marine environments, causing biodiversity loss, water pollution, soil erosion, and climate change. However, studying spatial aspects of the relationships that link the global human system with non-human parts of the Earth-sy...

The van der Pol–Mathieu–Duffing oscillator (VMDO) finds applications across diverse fields due to its ability to model complex dynamic behaviors. Oscillators are versatile tools used in fields such as mechanics, biology, and electrical engineering. Its ability to model complex behaviors makes it an important subject of study for researchers and eng...

Queues emerge when the demand for service exceeds the available capacity to provide it. The M/G/K queuing model is the typical and theoretical framework to model and analyze the system when arrival rates are not in constant mode and service rate follow exponential distribution. This study investigates traffic congestion at fuel stations, focusing o...

This study explores the transformative potential of multimodal adaptive feedback systems in hybrid learning environments, where human and artificial intelligence (AI) capabilities converge to create personalized, engaging, and effective educational experiences. By integrating real-time data from sources such as eye-tracking, emotion recognition, an...

This paper introduces a novel model-free nonsingular fixed-time sliding mode control (MF-NFxTSMC) strategy for precise trajectory tracking in robot arm systems. Unlike conventional sliding mode control (SMC) approaches that require accurate dynamic models, the proposed method leverages the time delay estimation (TDE) approach to effectively estimat...

The development of digital twin (DT) technology has revolutionized various industries, offering powerful tools for real-time simulation, monitoring, and optimization. In the pharmaceutical field, especially in the design of gastroretentive systems (GRS) for controlled drug delivery, the integration of DTs can significantly enhance the understanding...

Effective organization of the vaccine supply chain is vital to achieve high vaccination rates in pandemics. This paper presents a novel approach for developing a decision support system (DSS) to support health officials and policymakers who must make timely and impactful decisions with limited information for distributing vaccines. We combine a sta...

The magnetospheric substorm, which plays a crucial role in flux and energy transport across Earth's magnetosphere, features the formation of a thin, elongated current sheet in the magnetotail during its growth phase. This phase is characterized by a decrease in the equatorial magnetic field Bz and the stretching of magnetic field lines. Observing t...

We investigate the Pais-Uhlenbeck (PU) model, a paradigmatic example of a higher time-derivative theory, by identifying the Lie symmetries of its associated fourth-order dynamical equation. Exploiting these symmetries in conjunction with the model's Bi-Hamiltonian structure, we construct distinct Poisson bracket formulations that preserve the syste...

In the context of the EU Green Deal and the Paris Agreement, the transition to renewable energy sources and the deployment of energy storage systems are fundamental for a sustainable and low-emission tomorrow. However, given the diversity of municipalities in terms of resources, infrastructure, and socio-economic conditions at local energy transiti...

Climate neutrality targets and strategies show that the share of renewables in energy generation is set to increase, nevertheless their variability, seasonality and lack of reliability pose significant challenges. With the continued growth in energy consumption, demand for energy storage is becoming more evident. The integration of renewable energy...

With global ecological problems and uncertainties in the international economy, the resilience of the wood supply chain is becoming important for the sustainable development of the wood industry. Heilongjiang Province is a key region for wood production and consumption in China. However, it faces many internal and external challenges in its wood su...

Latvia’s waste management sector generates annually increasing waste volume, more than doubling to 2.71 Mt in 2023 from 1.26 Mt in 2004. The current national policy aims to address this challenge to reduce waste generation and landfilling by promoting circular economy principles. The long-term strategy is focused on achieving climate neutrality in...

The large-scale integration of inverter-interfaced renewable energy sources presents significant challenges to maintaining power balance and nominal frequency in modern power systems. This paper studies grid-level coordinated control of grid-forming (GFM) and grid-following (GFL) inverter-based resources (IBRs) for scalable and optimal frequency c...

Purpose Off-site construction (OSC) methods are proposed as a viable improvement to traditional construction with the potential to deliver higher quality products, faster construction times, and reduced project costs. This study aims to provide an insight into the precast concrete manufacturing process (PMP) and the possibility to improve productiv...

We study transition path properties such as the transient probability density, transition path time and its distribution, splitting probability, coefficient of variation, and the transition path shape of active run and tumble particles for unconstrained motion. In particular, we provide the theoretical description of the transition path properties...

This study explores a novel approach to neural network pruning using evolutionary computation, focusing on simultaneously pruning the encoder and decoder of an autoencoder. We introduce two new mutation operators that use layer activations to guide weight pruning. Our findings reveal that one of these activation-informed operators outperforms rando...

Data assimilation, a vital process in areas such as numerical weather prediction, integrates observational data into computational models to provide accurate forecasts. In this study, we conceptualize the forecast-assimilation (FA) process as a dynamic-stochastic system driven by time-dependent observational data. The core objective is to investiga...

The Bloch equation, that set the foundation for open quantum systems, was conceived by pure physical reasoning. Since then, the Lindblad (GKLS) form of a quantum master equation, its most general mathematical representation, became an established staple in the open quantum systems toolbox. It allows to describe a multitude of quantum phenomena, how...

This paper studies a stochastic predator-prey model in presence of competitor for the prey. Here, one of the competing prey species is affected by the fear of predators while the other competing prey species is not consumed by the predators nor even attacked. The deterministic model without hunting cooperation is already analyzed. The impact of con...

In correlated noisy channels, the global memory effects on the dynamics of a quantum system depend on both non-Markovianity of the single noisy channel (intrinsic memory) and classical correlations between multiple uses of the channel itself (correlation-based memory). We show that the Hilbert–Schmidt speed (HSS), a measure of non-Markovianity, ser...

In order to effectively manage varying workloads, serverless computing in cloud settings requires dynamic resource allocation, which is addressed by the deployment of an auto-scaling system. Serverless computing is an affordable option for cloud-based apps since users are only charged for the resources that are really used. However, complex techniq...

The long-term dynamical future of the Sun's planets has been simulated and statistically analyzed in great detail, but most prior work considers the solar system as completely isolated, neglecting the potential influence of field star passages. To understand the dynamical significance of field star encounters, we simulate several thousand realizati...

In practical engineering, collisions with zero indentation or remaining surface deformation following separation have attracted widespread attention. A general contact force model that can effectively simulate these two types of collisions is proposed in this work based on the typical formula of the continuous model. By introducing equivalent veloc...

A economia da complexidade surge como uma resposta às limitações da economia neoclássica, que tende a simplificar os sistemas econômicos a modelos de equilíbrio estático. Essa abordagem, que considera os sistemas econômicos como redes interconectadas e dinâmicas, busca capturar as interações não-lineares, adaptativas e emergentes que caracterizam o...

El libro "Educación ambiental desde la complejidad", escrito por los profesores Hernán Modesto Rivas Escobar y Gloria Cristina Luna Cabrera del grupo PIFIL de la Universidad de Nariño, es una reflexión profunda sobre la integración del pensamiento complejo en la formación de Licenciados en Ciencias Naturales y Educación Ambiental. Esta obra pr...

The current field of study concerning taxation and growth mainly utilizes aggregate methods despite neglecting specific sectoral responses that result from tax modifications. Auerbach and Gorodnichenko (2012) along with Romer and Romer (2010) developed tax multiplier analysis methods yet they did not account for GST's multi-rate system dynamics whi...

with the intensification of market competition and the complexity of consumer behavior, enterprises are faced with the challenge of how to accurately identify potential customers and improve user conversion rate. This paper aims to study the application of machine learning in consumer behavior prediction and precision marketing. Four models, namely...

Autonomous robots deployed in unknown search-and-rescue (SaR) environments can significantly improve the efficiency of the mission by assisting in fast localisation and rescue of the trapped victims. We propose a novel integrated hierarchical control architecture, called model predictive fuzzy control (MPFC), for autonomous mission planning of mult...

JISEM. Please publish. VenuReceived date:06-01-2025Revised:20-02-2025Accepted:09-05-2025Volume 2025Artificial intelligence (AI) has radically changed the cybersecurity environment in fintech, bringing sophisticated, adaptive threats that can pressure spilling disruptions. This paper examines how malicious AI agents can trigger disproportionately la...

Learning-enabled planning and control algorithms are increasingly popular, but they often lack rigorous guarantees of performance or safety. We introduce an algorithm for computing underapproximate backward reachable sets of nonlinear discrete time neural feedback loops. We then use the backward reachable sets to check goal-reaching properties. Our...

With the growing integration of modular multilevel converters (MMCs) in Multi-Terminal Direct Current (MTDC) transmission systems, there is an increasing need for control strategies that ensure both economic efficiency and robust dynamic performance. This paper presents an enhanced Optimal Power Flow (OPF) framework for hybrid AC-MTDC systems, inte...

Scientists have been interested in designing and analyzing new dynamical systems with desirable characteristics in recent decades. Such systems can be used to study a wide range of complex phenomena. This study presents the design of a new two-dimensional mega-stable nonlinear system, which is highly sensitive to initial conditions. Depending on th...

This study focuses on the visual arts practice in animation creation in the digital age, systematically exploring the core role of visual art language in animation and its developmental path under the influence of technology. The research finds that visual arts, through three key elementscolor systems, dynamic composition, and three-dimensional spa...

In the advanced helicopter gear transmission system, the elastic web gear structure is a new type of vibration reduction structure. Its vibration reduction mechanism, parameter value and control strategy are all scientific problems to be solved urgently. This paper establishes the nonlinear dynamic equation of elastic web herringbone gear transmiss...

With the rapid development of the digital economy, energy consumption patterns are transforming. However, problems remain, such as low energy efficiency and heavy dependence on traditional energy. By addressing data privacy compliance, enhancing model generalization, expanding to practical cases like the BRI, integrating system dynamics concepts, g...

The Lotka-Volterra equations, a cornerstone of predator-prey modeling, provide a valuable framework for understanding sustainable population dynamics. This chapter explores how these equations, through analysis of dynamic equilibrium and stability, illuminate sustainability principles within ecological systems. By analyzing predator-prey interactio...

Unlike their biological cousins, the majority of existing quadrupedal robots are constructed with rigid chassis. This results in motion that is either beetle-like or distinctly robotic, lacking the natural fluidity characteristic of mammalian movements. Existing literature on quadrupedal robots with spinal configurations primarily focuses on energy...

Building on the insight that engineered noise, specifically, engineered dephasing can enhance the adiabaticity of controlled quantum dynamics, we investigate how a dephasing-generating coupling to an auxiliary quantum system affects quantum annealing protocols. By calculating the exact reduced system dynamics, we show how this coupling enhances the...

Background Population aging increases the economic burden of Alzheimer's disease (AD). Early screening for mild cognitive impairment (MCI) has the potential to mitigate this burden, but optimal strategies regarding screening coverage and age targeting remain unclear. Objective To explore the impact of varying MCI screening coverage and age-specifi...

This study aims to evaluate various waste-to-energy conversion scenarios in terms of their potential to reduce greenhouse gas (GHG) emissions and improve sustainability based on economic and environmental outcomes. To achieve this, a comprehensive waste management model was developed using the system dynamics approach in the Vensim software to pred...

Cam-roller mechanisms are commonly used in translational and rotational quasi-zero-stiffness (QZS) vibration isolators. However, typical cam-roller mechanisms suffer from large frictional damping, a QZS range limited by cam dimensions, and degrees of freedom coupling. Here, we propose a novel cam-roller mechanism (NCM) with bi-directional decouplin...

This paper investigates the stochastic dynamics of a nonlinear hybrid vibrational energy harvester (VEH) under Gaussian white noise excitation. Accurate quantification of stiffness and damping coefficient is challenging for high-dimensional nonlinear VEHs because the corresponding Fokker–Planck–Kolmogorov equation for the response is complex. To so...

Air traffic can be significantly disrupted by weather. Pathfinder operations involve assigning a designated aircraft to assess whether airspace that was previously impacted by weather can be safely traversed through. Despite relatively routine use in air traffic control, there is little research on the underlying multi-agent decision-making problem...

The use of renewables in heat production requires methods to overcome the issue of asynchronous heat load and energy production. The most effective method for analyzing the intricate thermal dynamics of an existing building is through transient simulation, utilizing real-world weather data. This approach offers a far more nuanced understanding than...

Particle Flow Filters estimate the ``a posteriori" probability density function (PDF) by moving an ensemble of particles according to the likelihood. Particles are propagated under the system dynamics until a measurement becomes available when each particle undergoes an additional stochastic differential equation in a pseudo-time that updates the d...

We present FalconWing -- an open-source, ultra-lightweight (150 g) fixed-wing platform for autonomy research. The hardware platform integrates a small camera, a standard airframe, offboard computation, and radio communication for manual overrides. We demonstrate FalconWing's capabilities by developing and deploying a purely vision-based control pol...

This paper illustrates a proportional-integral-derivative based neural network (PID-NN) controller to manipulate the angular position of the two-link robot considering the load variation on the system. The two-link robot system's dynamic equations were derived using the Lagrange method. To improve the tuning process of the design coefficients of th...

Creating a comfortable thermal environment is the necessary measure to safeguard human sleep quality but it requires a substantial amount of energy. Personal comfort systems have the potential to improve sleep while significantly reducing energy consumption compared to typical air conditioning systems. Despite some studies reporting favorable outco...

Continental flood basalt (CFB) provinces, defined by the rapid emplacement of large volumes of mafic lava, represent some of the most significant large-scale magmatic events in Earth’s geological record. Gaining insight into the origin and evolution of fluid systems within these settings is critical for understanding the geodynamic architecture of...

A path-integral approach to quantum acoustics is developed here. In contrast to the commonly utilized particle perspective, this emerging field brings forth a long neglected but essential wave paradigm for lattice vibrations. Within the coherent state picture, we formulate a non-Markovian, stochastic master equation that captures the exact dynamics...

A transformer-based Koopman autoencoder is proposed for linearizing Fisher’s reaction–diffusion equation. The primary focus of this study is on using deep learning techniques to find complex spatiotemporal patterns in the reaction–diffusion system. The emphasis is on not just solving the equation but also transforming the system’s dynamics into a m...

This study presents a novel iterative fractional operational matrix method for solving the highly nonlinear fractional undamped Duffing equation. The proposed method efficiently approximates the solution by transforming the original fractional differential equation into a system of algebraic equations using modified operational matrices. The accura...

This study introduces a novel framework for investigating thermoelastic damping (TED) in viscoelastic micro-scale rectangular beams using the Euler-Bernoulli beam theory (EBBT). A two-temperature thermoviscoelastic model is developed, uniquely integrating non-Fourier effects and fractional-order parameters through a generalized thermoelasticity app...

Health and environmental crises related to plastic waste have necessitated the implementation of circular economy (CE), especially among hospitals. By using the CE model for waste management, it will be easier to transfer collected waste from landfills to recycling plants and reduce waste generation by increasing reuse and recycling as well as usin...

Electric vehicles (EVs) are revolutionizing transportation, utilizing batteries as mobile energy storage to mitigate carbon emissions and fossil fuel depletion. Power utilities are increasingly employing EVs with dynamic energy storage for ancillary services such as frequency and voltage regulation. Additionally, EVs are utilized for dynamic dampin...

Recently, deep space exploration, especially focusing on halo orbits, the periodic orbits of the Moon, has been widely studied. The spacecraft in halo orbits performs periodic orbital motion, which affects the attitude motion by periodic disturbances. The conventional attitude control method, PD control, is widely used, but its application to perio...

The emergence of autonomous vehicles offers the potential to eliminate traditional traffic lanes, enabling vehicles to navigate freely in two-dimensional spaces. Unlike conventional traffic constrained by physical lanes, autonomous vehicles rely on real-time data exchange within platoons to adopt cooperative movement strategies, similar to synchron...

In recent years, designers have increasingly engaged with sustainability transitions, using design and innovation activity to drive systemic change. However, we still have a limited understanding of how designers can best frame complex system dynamics to understand which innovations will foster desired changes. This study aims to better understand...

Agri-food systems around the world are facing a sustainability crisis. Addressing the many interconnected issues requires fundamental transformations, moving beyond incremental improvements of various details toward broader and more profound systemic change. In this article, which is also the introduction to the ICAE 2024 Special Issue, we explore...

In this work, a kernel-based Ensemble Gaussian Mixture Probability Hypothesis Density (EnGM-PHD) filter is presented for multi-target filtering applications. The EnGM-PHD filter combines the Gaussian-mixture-based techniques of the Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter with the particle-based techniques of the Sequential M...

We develop randomized quantum algorithms to simulate quantum collision models, also known as repeated interaction schemes, which provide a rich framework to model various open-system dynamics. The underlying technique involves composing time evolutions of the total (system, bath, and interaction) Hamiltonian and intermittent tracing out of the envi...

Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. In systems biology, and particularly with dynamic models, UQ is critical due to the nonlinearities and parameter sensitivities that influence the behavior of complex biological systems. Address...

Citation: Uttachee, C.; Punyakaew, S.; Mai, N.T.; Kamal, M.A.S.; Murakami, I.; Yamada, K. Dynamic Analysis and Resonance Control of a Tunable Pendulum Energy Harvester Using Cone-Based Continuously Variable Transmission. Machines 2025, 13, 365. Abstract: This paper investigates the design and performance of a tunable pendulum energy harvester (TPEH...

Background Obesity is an escalating global public health challenge that is expected to impact a significant portion of the world's population in the coming decades. It leads to severe health conditions such as diabetes, cardiovascular diseases, and cancer, imposing significant economic burdens on health systems. Traditional intervention strategies,...

This study proposes targeted policy strategies to phase out mercury thermometers, especially in developing regions, under the Minamata Convention on Mercury. By integrating a tripartite evolutionary game framework with system dynamics simulation, it examines the decision-making behaviors of government agencies, manufacturing enterprises, and consum...