Abstract:This article investigates an event‐triggered control for linear continuous‐time systems by tolerating consecutive packet losses. Two event‐triggers are, respectively, employed in the sensor‐to‐controller and controller‐to‐actuator channels in order to reduce the data transmission pressures. A simple discrete‐time state feedback control law is proposed and the control command is only updated when the actuator successfully receives the command information. By the proposed method, the event‐triggers are proved to… Show more
“…Besides, the packet dropout/loss and disordering are also universally encountered in practical communication network and they are emerged if the maximal data transmission time delay is larger than time interval between any consecutive date sending time instants. For simultaneously tolerating the communication imperfections, fruitful works have been gradually reported, please find in References 12‐20 and therein.…”
SummaryThis paper concerns a networked predictive control (NPC) for linear systems with data time‐varying delays, packet losses and disordering. By utilizing the received time‐delayed state measurement and control input, a predictive algorithm is firstly proposed for approximating the future state prediction. Afterwards, a probability dependent switching control law is proposed. Although the large data transmission delays emerge in the forward and backward channels, the packet disordering in the backward channel can be naturally excluded thus the actuator always receives valid control command during each sampling period with correct time sequence. The proposed NPC not only guarantees the global uniform exponential stability of the overall networked system but also brings merits in tolerating locally unstable sub‐systems. Numerical examples are provided to demonstrate the effectiveness and improvements of the proposed method.
“…Besides, the packet dropout/loss and disordering are also universally encountered in practical communication network and they are emerged if the maximal data transmission time delay is larger than time interval between any consecutive date sending time instants. For simultaneously tolerating the communication imperfections, fruitful works have been gradually reported, please find in References 12‐20 and therein.…”
SummaryThis paper concerns a networked predictive control (NPC) for linear systems with data time‐varying delays, packet losses and disordering. By utilizing the received time‐delayed state measurement and control input, a predictive algorithm is firstly proposed for approximating the future state prediction. Afterwards, a probability dependent switching control law is proposed. Although the large data transmission delays emerge in the forward and backward channels, the packet disordering in the backward channel can be naturally excluded thus the actuator always receives valid control command during each sampling period with correct time sequence. The proposed NPC not only guarantees the global uniform exponential stability of the overall networked system but also brings merits in tolerating locally unstable sub‐systems. Numerical examples are provided to demonstrate the effectiveness and improvements of the proposed method.
“…This mechanism prevents continual communication signals from passing through the network, thereby reducing the transmission load on the communication network and enhancing network channel utilization. Therefore, this type of triggered mechanism has therefore been discussed by numerous researchers 14‐16 . In Reference 17, a novel ETM was proposed, which contributes to the improvement of network channel utilization.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, this type of triggered mechanism has therefore been discussed by numerous researchers. [14][15][16] In Reference 17, a novel ETM was proposed, which contributes to the improvement of network channel utilization. Subsequent researchers have made various supplements to this event-triggering scheme based on this article.…”
This article investigates the event‐triggered control problem in the complex‐valued networked control systems (CVNCS) under randomly occurring deception attacks (RODA). In order to optimize network bandwidth usage, reduce bandwidth waste, and enhance system performance, complex‐valued event‐triggered mechanism (CVETM) is introduced. In addition, to simulate a realistic network environment such as randomly occurring deception attacks (RODA) influence in the network channel, two types of network deception attacks that satisfy a Bernoulli distribution are introduced. Based on the above description, a closed‐loop complex‐valued networked control system (CVNCS) for stochastic deception attacks is constructed. The conditions that ensure stability of the system are obtained using of Lyapunov function and LMI. Additionally, the parameters for the designed controller are provided, and the effectiveness and feasibility of the designed system are demonstrated through simulation examples at the end of the article. Demonstrates that CVETM also has the same general conclusions as ETM.
“…In networked control systems, the channel resources from the controller-actuator (CA) are also constrained by bandwidth resources. At present, there are some research studies on introducing an ETM from the CA to raise the level of network resource utilization [26][27][28][29]. Li et al [30] modeled the closed-loop system as one that exhibits double event-triggered and network-induced delays and studied the dual event-triggered output feedback H ∞ control of NCSs with a networkinduced delay.…”
To address the presence of network-induced delays in networked control systems (NCSs), a dual event-triggered mechanism (DETM) is used to investigate the problem of reducing network delays and controller co-design. Firstly, the DETM of the sensor–controller (SC) and the controller–actuator (CA) is adopted. By determining whether the sampled data meet the event-triggered threshold conditions for network transmission, we effectively reduce the sampled data transmitted over the network, which can reduce a network delay by reducing occupation of the network resources. Secondly, a dual event-triggered NCS model with a network-induced delay is developed, and a Lyapunov function including a DETM and network-induced delay is chosen. The functional upper limit of the Lyapunov function is estimated by combining the Wirtinger’s-based integral inequality with the reciprocally convex approach. This results in a stability criterion for systems with low conservativeness and a controller co-design method for a DETM. Finally, the availability of this method was verified through a numerical example and case study.
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