JOURNAL ARTICLE

Event-triggered guaranteed cost control for uncertain discrete-time networked control systems with time-varying transmission delays

Songlin HuXiaomeng YinYun‐Zhou ZhangEngang Tian

Year: 2012 Journal:   IET Control Theory and Applications Vol: 6 (18)Pages: 2793-2804   Publisher: Institution of Engineering and Technology

Abstract

In this study, event-triggered guaranteed cost control problem for discrete-time networked control systems (NCSs) with parameter uncertainties and time-varying transmission delays is studied. First, an event-triggering scheme for discrete-time NCSs is proposed. Then by using a delay system approach, a unified model of event-triggered control systems with parameter uncertainties and state delay is established. By applying Laypunov functional method together with linear matrix inequality (LMI) technique, sufficient conditions for the existence of an admissible guaranteed cost controller are established, which ensure a specific quadratic cost function has an upper bound for all admissible uncertainties. The proposed stability and stabilisation conditions are formulated in the framework of LMIs, which can be solved efficiently by using existing optimisation techniques. Finally, a numerical example and a practical example are given to demonstrate that, under the proposed event-triggering scheme, the advantage of reducing communication traffic in a control network without compromising the stability of the closed-loop system is preserved.

Keywords:
Control theory (sociology) Linear matrix inequality Controller (irrigation) Transmission (telecommunications) Computer science Upper and lower bounds Stability (learning theory) Discrete time and continuous time Control system Control (management) Quadratic equation Scheme (mathematics) Function (biology) Event (particle physics) Mathematical optimization Mathematics Engineering

Metrics

71
Cited By
12.71
FWCI (Field Weighted Citation Impact)
43
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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