We achieve this for autonomous and for periodically forced systems of finite or infinite dimensions by constructing linearizing transformations for their dominant dynamics within attracting slow spectral submanifolds (SSMs). Our arguments also lead to a new algorithm, data-driven linearization (DDL), ...
《Data-Driven Science and Engineering:Machine Learning, Dynamical Systems, and Control》,作者是华盛顿大学的Steven L. Brunton和J. Nathan Kutz, 全书共分为4个Part:降维与变换、机器学习和数据分析、动力学和控制、降阶模型,如果有需要pdf版本的同学可以私信我 最常见的优化策略 Least-Squares 最小二乘使给定...
推荐一本书:"Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" 链接: https://www.cambridge.org/us/academic/subjects/mathematics/computational-… 小心假设发表于当机器学...
We present a data-driven realization for systems with delay, which generalizes the Loewner framework. The realization is obtained with low computational cost directly from measured data of the transfer function. The internal delay is estimated by solving a least-square optimization over some sample da...
19-数据驱动科学与工程机器学习、动力系统和控制-Data-Driven Science and Engineering Machine Learning, Dynamical Systems, and Control,机器学习和数据科学,Science,engine,人人文库,
In essence, two complex dynamical systems are interfaced, driven by the principle of 'influence' rather than 'control'. Live weather activity in the world, intensity and direction of wind energy, is interfaced with a distributed particle system. Particles interact and, in turn, condition the ...
Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with MATLAB, Data-Driven Science and Engineering trains mathematical scientists and engineers for the next generation of scientific discovery by offering a b
Haller, Data-driven modelling of the regular and chaotic dynamics of an inverted flag from experiments, Journal of Fluid Mechanics 987 (2024) R7. [PDF] L. Bettini, M. Cenedese & G. Haller, Model Reduction to Spectral Submanifolds in Non-Smooth Dynamical Systems, International Journal of Non...
of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven m.....
The Dynamic Data Driven Applications System (DDDAS) concept uses applications modeling, mathematical algorithms, and measurement systems to work with dynamic systems. A dynamic systems such as Automatic Target Recognition (ATR) is subject to sensor, target, and the environment variations over space and...