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

This paper is concerned with the securecontrol problem for cyber-physical systems (CPSs) under time-delay attacks, which cause the systems' information to be received with delays. Through transforming thecontrol problem to a two-player zero-sum game problem, thecontroller can be obtained by solving the saddle point for the game. Due to the unknown system parameters, a model-free reinforcement learning (RL) method is applied, and the measurement feedback controller is designed based on the historical inputs and the tracking errors. To obviate the requirement of the initial admissible policy, the value iteration (VI) of the adaptive dynamic program (ADP) algorithm is proposed to solve the approximate saddle point. Moreover, the convergence of the proposed algorithm is proved. Finally, a networked circuit system is employed to show the effectiveness of the proposed methods.

Secure H ∞ control against time-delay attacks in cyber-physical systems