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Safe Transitions in Complex Systems
Complex systems, including energy and transportation systems, constitute a crucial part of modern societies’ critical infrastructure. It is... -
Global Control of Complex Power Systems
This chapter presents an overview of recent results on an approach to total control of power systems. It is upwards compatible from any conventional... -
Navigating the development challenges in creating complex data systems
Data science systems (DSSs) are a fundamental tool in many areas of research and are now being developed by people with a myriad of backgrounds. This...
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Review and analysis of model order reduction techniques for high-dimensional complex systems
Complex practical system designs pose significant challenges from a research perspective, often resulting in high computational requirements for...
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Multidimensional scaling method for complex time series based on the Wasserstein–Fourier distance in complex systems
In this paper, we propose a multidimensional scaling (MDS) method based on the Wasserstein–Fourier (WF) distance to analyze and classify complex time...
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Infrastructure and Complex Systems Automation
The set of traditional characteristic features of large-scale complex systems (LSS) included the large number of variables, structure of... -
Efficient learning of accurate surrogates for simulations of complex systems
Machine learning methods are increasingly deployed to construct surrogate models for complex physical systems at a reduced computational cost....
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Estimating the reliability of complex systems using various bounds methods
The precise two-terminal reliability calculation becomes more difficult when the numeral of components of the complex system increases. The accuracy...
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Multi-level state evaluation in complex systems: information granules and evidence theory approach
Real-world systems often exhibit intricate complexity. Navigating and examining the conditions under which these systems operate present various...
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Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
We develop inductive biases for the machine learning of complex physical systems based on the port-Hamiltonian formalism. To satisfy by construction...
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Investigations of complex systems’ dynamics, based on reduced amount of information: introduction to the method
Controlling dynamics of complex systems is one of the most important issues in science and engineering. Thus, there is continuous need to study and...
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Event-triggered Synchronization for Second-order Linear Systems in Complex Dynamical Network With Time-varying Topology
In this paper, the event-triggered synchronization of second-order linear systems in complex dynamical networks (CDNs) with time-varying topology is...
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Progress in Metallurgical and Mechanical Aspects of Complex Alloying and Composite Systems in Metal Additive Manufacturing
The discovery of metal additive manufacturing (MAM) has caused a significant revolution across multiple industries, enabling the production of...
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Dynamic modeling of flexible multibody systems with complex geometry via finite cell method of absolute nodal coordinate formulation
Practical multibody systems usually consist of flexible bodies of complex shapes, but existing dynamic modeling methods work efficiently only for the...
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Stochastic Optimization for Long-Term Planning of a Mining Complex with In-Pit Crushing and Conveying Systems
Semi-mobile in-pit crushing and conveying (IPCC) systems can help reduce truck haulage in open-pit mines by bringing the crusher closer to the...
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Forecasting of maintenance indicators of complex technical systems during storage
Design, production, testing, and operation of reusable launch vehicles are promising areas of development and theoretical research in the field of...
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The Evolution of Complex Engineering Systems
Engineering systems are rarely designed from scratch. They are socio-technical engineering systems that evolve over generations of products and... -
Complex, Intelligent and Software Intensive Systems Proceedings of the 17th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2023)
This book aims to deliver a platform of scientific interaction between the three interwoven challenging areas of research and development of future...
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A Proportionate Maximum Total Complex Correntropy Algorithm for Sparse Systems
While the practical application of adaptive filters has indeed garnered substantial attention, two pressing issues persist that have a profound...
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Analysis of Complex Technical Systems
The storage of energy from renewable sources is becoming increasingly important for decarbonization. We will explain this using an innovative energy...