Results 11 to 20 of about 1,809,735 (299)
Homomorphisms of differentiable dynamical systems [PDF]
Kyoto Journal of Mathematics, 1974 Toshio Niwa
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Sablas: Learning Safe Control for Black-Box Dynamical Systems [PDF]
IEEE Robotics and Automation Letters, 2022 Control certificates based on barrier functions have been a powerful tool to generate probably safe control policies for dynamical systems. However, existing methods based on barrier certificates are normally for white-box systems with differentiable ...
Zengyi Qin, Dawei Sun, Chuchu Fan
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Ergodic theory of differentiable dynamical systems [PDF]
, 1979 David Ruelle
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Sampled-Data Consensus for Networked Euler-Lagrange Systems With Differentiable Scaling Functions
IEEE Access, 2021 This paper is concerned with the sampled-data consensus of networked Euler-Lagrange systems. The Euler-Lagrange system has enormous advantages in analyzing and designing dynamical systems.
Yilin Wang +3 more
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Differentiability of the Largest Lyapunov Exponent for Non-Planar Open Billiards
Mathematics, 2023 This paper investigates the behaviour of open billiard systems in high-dimensional spaces. Specifically, we estimate the largest Lyapunov exponent, which quantifies the rate of divergence between nearby trajectories in a dynamical system.
Amal Al Dowais
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A Mean-Field Game Control for Large-Scale Swarm Formation Flight in Dense Environments
Sensors, 2022 As an important part of cyberphysical systems (CPSs), multiple aerial drone systems are widely used in various scenarios, and research scenarios are becoming increasingly complex.
Guofang Wang +3 more
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Numerical Modeling Tools and S-derivatives
Моделирование и анализ информационных систем, 2022 Numerical study of various processes leads to the need of clarification (extensions) of the limits of applicability of computational constructs and modeling tools.
Anatoly Nikolaevich Morozov
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dynoNet: A neural network architecture for learning dynamical systems [PDF]
International Journal of Adaptive Control and Signal Processing, 2020 This article introduces a network architecture, called dynoNet, utilizing linear dynamical operators as elementary building blocks. Owing to the dynamical nature of these blocks, dynoNet networks are tailored for sequence modeling and system ...
Marco Forgione, D. Piga
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PRX Quantum, 2021 Quantum control, which refers to the active manipulation of physical systems described by the laws of quantum mechanics, constitutes an essential ingredient for the development of quantum technology.
Luuk Coopmans +4 more
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Rough Path Theory to Approximate Random Dynamical Systems [PDF]
SIAM Journal on Applied Dynamical Systems, 2020 We consider the rough differential equation $dY=f(Y)d\bm \om$ where $\bm \om=(\omega,\bbomega)$ is a rough path defined by a Brownian motion $\omega$ on $\RR^m$.
Hongjun Gao +4 more
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