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, the optimal local and remote linear quadratic (LQ) controlproblem is studied for a networked control system (NCS) which consists ofmultiple subsystems and each of which is described by a general multiplicativenoise stochastic system with one local controller and one remote controller.Due to the unreliable uplink channels, the remote controller can only accessunreliable state information of all subsystems, while the downlink channelsfrom the remote controller to the local controllers are perfect. Thedifficulties of the LQ control problem for such a system arise from thedifferent information structures of the local controllers and the remotecontroller. By developing the Pontyagin maximum principle, the necessary andsufficient solvability conditions are derived, which are based on the solutionto a group of forward and backward difference equations (G-FBSDEs).Furthermore, by proposing a new method to decouple the G-FBSDEs and introducingnew coupled Riccati equations (CREs), the optimal control strategies arederived where we verify that the separation principle holds for themultiplicative noise NCSs with packet dropouts. This paper can be seen as animportant contribution to the optimal control problem with asymmetricinformation structures.

Optimal Local and Remote Controls of Multiple Systems with Multiplicative Noises and Unreliable Uplink Channels