English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A coupled computational approach to simultaneously learn a vector field andthe region of attraction of an equilibrium point from generated trajectories ofthe system is proposed. The nonlinear identification leverages the localstability information as a prior on the system, effectively endowing theestimate with this important structural property. In addition, the knowledge ofthe region of attraction plays an experiment design role by informing theselection of initial conditions from which trajectories are generated and byenabling the use of a Lyapunov function of the system as a regularization term.Numerical results show that the proposed method allows efficient sampling andprovides an accurate estimate of the dynamics in an inner approximation of itsregion of attraction.

Learning Dynamical Systems using Local Stability Priors