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

Psi Intelligent Control aims to provide a framework for controlling autonomous dynamic systems with prediction capabilities inspired by Psi precognition. Psi in nature relates to an event or state not yet experienced. Although Psi phenomenon is unexplained, it is an inspiration for the present study. The research intends to define and develop frameworks and systems capable of providing information for predicting future events (e.g., for motion control of an autonomous vehicle) and use that information in control of autonomous dynamic systems. A generalized approach inspired by Psi precognition is proposed, and the effect of this technique in the response of dynamic systems is explored. The corresponding parameters and constraints to develop and analyze Psi Intelligent Control for dynamic systems are discussed. Obtaining optimized solutions while considering uncertainties in the system and input parameters are investigated. Optimal Uncertainty Quantification is used to obtain optimized solutions for the control of the autonomous dynamic system, with imperfectly known response functions, input probability measures and parameters.

BIOINSPIRED PSI INTELLIGENT CONTROL FOR AUTONOMOUS DYNAMIC SYSTEMS