Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller | Zendy

Vivek Patel | Zendy; Dipayan Guha | Zendy; Shubhi Purwar | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

Author(s) -

Vivek Patel,

Dipayan Guha,

Shubhi Purwar

Publication year - 2022

Publication title -

international transactions on electrical energy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.428

H-Index - 42

ISSN - 2050-7038

DOI - 10.1155/2022/6286500

Subject(s) - control theory (sociology) , robustness (evolution) , electric power system , nonlinear system , controller (irrigation) , lyapunov function , artificial neural network , observer (physics) , robust control , convergence (economics) , computer science , control engineering , engineering , control system , power (physics) , control (management) , artificial intelligence , biochemistry , chemistry , physics , electrical engineering , quantum mechanics , biology , economic growth , agronomy , economics , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research