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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Aimed at implementation puzzles of fuzzy PID controller because of computational complexity, in this paper, in order to reduce computational complexity and realize real-time control, authors utilized universal approximation of the NN to reconstruct an equivalent NN model to accurately approximate a known fuzzy PID controller. Consequently, authors simulated to control the same process model by the fuzzy PID controller and the remodeling NN with different reference inputs, respectively. Results show that control qualities from two different controllers were extremely similar. Therefore, the fuzzy PID controller can be replaced by a remodeling NN in purpose of reducing the computational complexity, dimensional disaster and improving the real-time performance.

Remodeling for Fuzzy PID Controller Based on Neural Networks