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

To deal with time-varying processor availability and lossy communicationchannels in embedded and networked control systems, one can employ anevent-triggered sequence-based anytime control (E-SAC) algorithm. The main ideaof E-SAC is, when computing resources and measurements are available, tocompute a sequence of tentative control inputs and store them in a buffer forpotential future use. State-dependent Random-time Drift (SRD) approach is oftenused to analyse and establish stability properties of such E-SAC algorithms.However, using SRD, the analysis quickly becomes combinatoric and hencedifficult to extend to more sophisticated E-SAC. In this technical note, wedevelop a general model and a new stability analysis for E-SAC based on Markovjump systems. Using the new stability analysis, stochastic stability conditionsof existing E-SAC are also recovered. In addition, the proposed techniquesystematically extends to a more sophisticated E-SAC scheme for which, untilnow, no analytical expression had been obtained.

Stability analysis of event-triggered anytime control with multiple control laws