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

In this paper, we consider the problem of state-estimation in the presence ofDenial-of-Service (DoS) attack. We formulate this problem as an stateestimation problem for a plant with switching measured outputs. In the absenceof attack, the state-estimator has access to all measured outputs, however, inthe presence of attack, only a subset of all measurements are made available tothe state-estimator. We seek to find an state-estimator that results in theminimum estimation error for the worst-case attack strategy. First, weparameterize the set of all state-estimators that result in stable estimationerror for the worst-case attack scenario. Then, we will show that anystate-estimator in this set can be written as a generalized Luenberger observerwith an appropriately defined observer-gain. This observer-gain, in general,can be an operator and possibly unbounded as opposed to the classical staticobserver-gain. Furthermore, we will show that finding the optimalstate-estimator that results in the minimum estimation error can be cast as aconvex program over the set of stable factors of the observer operator-gain.This optimization in, in fact, linear programming and tractable.

Optimal State Estimation Synthesis over Unreliable Network in Presence of Denial-of-Service Attack: an Operator Framework Approach