Stabilisation of networked control systems under a novel stochastic-sampling-based adaptive event-triggered scheme

In order to save the usage of system resources and adapt the variation of plant state, this study first proposes a novel stochastic-sampling-based adaptive event-triggered scheme (AETS). Second, in the framework of time-delay systems, the closed-loop control system is modelled as a class of delayed...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IET control theory & applications Ročník 14; číslo 9; s. 1158 - 1169
Hlavní autoři:	Xie, Xuhuan, Li, Shanbin, Xu, Bugong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 11.06.2020
Témata:	adaptive event‐triggered control asymptotic stability closed loop systems closed‐loop control system control system synthesis convex optimisation algorithm convex programming co‐design condition delay systems delayed stochastic systems delays H∞ control H∞ disturbance attenuation performance Lyapunov methods Lyapunov stability theory networked control system stability networked control systems novel stochastic‐sampling‐based adaptive event‐triggered scheme probability Research Article state feedback stochastic analysis tool stochastic systems stochastic‐sampling‐based AETS time‐delay systems convex optimisation algorithm delay systems delayed stochastic systems probability closed-loop control system control system synthesis convex programming asymptotic stability networked control system stability stochastic analysis tool stochastic-sampling-based AETS closed loop systems H∞ control time-delay systems delays stochastic systems networked control systems novel stochastic-sampling-based adaptive event-triggered scheme state feedback adaptive event-triggered control co-design condition Lyapunov stability theory Lyapunov methods H∞ disturbance attenuation performance
ISSN:	1751-8644, 1751-8652
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	In order to save the usage of system resources and adapt the variation of plant state, this study first proposes a novel stochastic-sampling-based adaptive event-triggered scheme (AETS). Second, in the framework of time-delay systems, the closed-loop control system is modelled as a class of delayed stochastic systems where time-delay is distributed in some intervals with probability. Then, by employing stochastic analysis tool and Lyapunov stability theory, a stability criterion for this class of delayed stochastic systems is established to ensure that the system possesses stochastically asymptotic stability with an $H_{\infty }$H∞ disturbance attenuation performance. Also, a co-design of parameter matrices of the state-feedback controller and the stochastic-sampling-based AETS is implemented. Third, based on the obtained co-design condition, a convex optimisation algorithm for the tradeoffs between disturbance attenuation performance and resource utilisation of the closed-loop control system is further developed. Finally, the effectiveness and feasibility of the proposed control strategy are illustrated by two numerical examples of adaptive event-triggered control for networked control systems under stochastic sampling.
ISSN:	1751-8644 1751-8652
DOI:	10.1049/iet-cta.2019.0342