Discrete predictor-based event-triggered control of networked control systems

Abstract

A predictor-based controller combined with two event-triggering mechanisms is proposed in order to control an LTI system over a network. The controller is designed in the discrete-time domain which allows to deal with a long sampling period. Similarly large input and output delays can be compensated thanks to the use of a predictor-based method. Two eventtriggering mechanisms, in the sensor-to-controller and controller-to-actuator channels are introduced in order to limit the number of packets sent over the network while preserving the ultimate boundedness of the solutions. The effect of input and output quantization introduced by the network is considered in the stability analysis. The results are illustrated by simulation.

Non-Conservative Distributed Control over Real-Time Network Links

“…In this section, a performance analysis framework is presented for the closed loop system (17) by calculating the cost function…”

Event‐triggered observer‐based robust H∞ control for networked control systems with unknown disturbance

“…Yet, along with these advantages, some challenging issues (bandwidth allocation, communication delay, packet dropouts, packet disorders, and channel fading) emerged and gave rise to much attention. Then most recently, the research on the NCSs has become a heated topic and many elegant results have been proposed . For instance, in Reference , an optimal linear filter for the NCSs was designed with involving time‐correlated fading channels.…”

“…Up until now, some effective approaches have been reported, such as time‐triggered strategy, event‐triggered scheme (ETS), and hybrid‐triggered one . Unlike the time‐trigger, since the ETS can be more efficient in reducing the number of transmitted data, thus recently, plenty of event‐based techniques have been proposed to study various control systems including the NCSs . In Reference , a controller design on the combination of three matrices Q, S, R (QSR)‐dissipativity was proposed by using a continuous‐time ETS, in which Zeno behaviors could be avoided.…”

“…In Reference , a controller design on the combination of three matrices Q, S, R (QSR)‐dissipativity was proposed by using a continuous‐time ETS, in which Zeno behaviors could be avoided. The combinations of event‐based scheme and predictive control were addressed, in which the nonlinear NCS was involved . Except for the event schemes concerning continuous‐time case, since an effective event technique based on sampled data was proposed, it has been widely utilized and improved .…”

“…In Reference , some linear matrix inequality (LMI) results on output feedback H ∞ control were derived, and in Reference , the dual‐rate control for wireless NCSs with applications to the unmanned aerial vehicles were discussed. Yet, it worth noting that in References , since the triggering thresholds were fixed constants and could not adjust to the variation of the NCSs, some adaptive event‐triggered schemes (AETSs) were proposed and their thresholds could be regulated in real time. In References and , two types of AETSs were, respectively, presented to study the fault detection and H ∞ output tracking control, where the thresholds could be adjusted by using the online algorithms.…”