Zobrazeno 1 - 10
of 22 589
pro vyhledávání: '"dissipativity"'
Autor:
Xiao, Tengfei1 (AUTHOR) xiaotf3@mail.sysu.edu.cn
Publikováno v:
Mathematics (2227-7390). Oct2024, Vol. 12 Issue 19, p3128. 15p.
In data-based control, dissipativity can be a powerful tool for attaining stability guarantees for nonlinear systems if that dissipativity can be inferred from data. This work provides a tutorial on several existing methods for data-based dissipativi
Externí odkaz:
http://arxiv.org/abs/2411.13404
Autor:
Eisenhuth, Benedikt, Grothaus, Martin
We consider a degenerate infinite dimensional stochastic Hamiltonian system with multiplicative noise and establish the essential m-dissipativity on $L^2(\mu^{\Phi})$ of the corresponding Kolmogorov (backwards) operator. Here, $\Phi$ is the potential
Externí odkaz:
http://arxiv.org/abs/2410.15993
Systems with predetermined Lyapunov functions play an important role in many areas of applied mathematics, physics and engineering: dynamic optimization methods (objective functions and their modifications), machine learning (loss functions), thermod
Externí odkaz:
http://arxiv.org/abs/2410.11889
Autor:
She, Baike, Hale, Matthew
The study of spreading processes often analyzes networks at different resolutions, e.g., at the level of individuals or countries, but it is not always clear how properties at one resolution can carry over to another. Accordingly, in this work we use
Externí odkaz:
http://arxiv.org/abs/2412.02665
Chaotic dynamics, commonly seen in weather systems and fluid turbulence, are characterized by their sensitivity to initial conditions, which makes accurate prediction challenging. Despite its sensitivity to initial perturbations, many chaotic systems
Externí odkaz:
http://arxiv.org/abs/2410.00976
Autor:
McAllister, Robert D.
We establish sufficient conditions for the terminal cost and constraint such that economic model predictive control (MPC) is robustly recursively feasible and economically robust to small disturbances without any assumptions of dissipativity. Moreove
Externí odkaz:
http://arxiv.org/abs/2408.15743
We use system-theoretic passivity methods to study evolutionary Nash equilibria learning in large populations of agents engaged in strategic, non-cooperative interactions. The agents follow learning rules (rules for short) that capture their strategi
Externí odkaz:
http://arxiv.org/abs/2408.00647
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 247-255 (2024)
Model-based control methods play an important role in control theory. Such controllers are designed via system identification; however, this approach is not applicable to cases where it is difficult to execute system identification owing to the large
Externí odkaz:
https://doaj.org/article/93bd8349837d4809a969f516af503486