Design of Networked Control Systems With Explicit Compensation for Time-Delay Variations

Martins, Eliseu; Jota, F.G.

doi:10.1109/tsmcc.2009.2036149

Cited by 41 publications

(33 citation statements)

References 45 publications

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“…Multiple paths may exist between the sink and the destination nodes. Therefore, downlink transmission reliability of the mesh topology at time is the probability that in the minimal path sets between sink and the destination node there exists at least one path whose packet delivery rate exceeds the downlink threshold ( , ), as shown in (13). Where Mesh ( , ) is the probability of Path(sink, ) ( , ) over the threshold of downlink th transmission at time in mesh WSNs, Path(sink, ) ( , ) is the reliability of th path from the sink to destination node :…”

Section: Evaluation Model Of Transmission Reliability Of Downlinkmentioning

confidence: 99%

Transmission Reliability Evaluation for Wireless Sensor Networks

Zhu

Lü

Han

et al. 2016

International Journal of Distributed Sensor Networks

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Network reliability of Wireless Sensor Networks (WSNs) is difficult to be evaluated because of its complexity, multistates, and dynamic characteristics. To satisfy the user's need of reliability evaluation for network transmission we propose some evaluation models and a dynamical evaluation framework. The evaluation models are mission-oriented and based on transmission paths (uplink and downlink). The dynamic evaluation framework can be on-demand customized and it will be autoupdated once the communication environment changes or the nodes fail. Finally, we simulated clustered and mesh WSNs with NS-2. Simulation result shows that the proposed evaluation framework was effective and accurate.

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Section: Evaluation Model Of Transmission Reliability Of Downlinkmentioning

confidence: 99%

Transmission Reliability Evaluation for Wireless Sensor Networks

Zhu

Lü

Han

et al. 2016

International Journal of Distributed Sensor Networks

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“…Delays in the NCS system consist of (a) communicat ion delay between sensors and controllers; T sc , (b) co mmunicat ion delay between controllers and actuators; T ca , (c) computation time in the controller; T c . In practical applications, however, sensor-controller and controller-actuator delays are different and time varying due to network transmission mechanism [9]. Fig.…”

Section: A Network Induced Delaymentioning

confidence: 99%

“…Increased Network sampling time can improve the performance of the system. Ho wever, beyond a crit ical point, samp ling frequency begins to adversely affect NCSs performance, because of network loading, when the number of messages are close to the network saturation limit, message delivery time delays increases and in some cases become unbounded [9]. Optimizing the performance of an NCS can be achieved by balancing the network sampling frequency with the resulting network performance degradation.…”

Section: B Sampling Periodmentioning

confidence: 99%

Networked Control System – A Survey

Brindha¹,

Mendiratta²

2013

IJMECS

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Abstract-Networked Control System (NCS) is a synthetic application wh ich co mbines control science, computer science and network technology. It is a kind of feedback control systems wherein the control loops are closed through real time control network. NCS technology is applied in industry control system because of its simple structure, easy maintenance and high reliability. Networked control systems (NCSs) have been gaining popularity with their high potential in widespread applications and becoming realizab le with the rapid developments in co mputer, co mmun ication and control technologies. This paper reviews the development history of the NCS, and point out the field of further researches.Index Terms-Co mputer control system, NCS, control Network, network co mmun ications, MADB.

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“…To this respect, c 2014 Diogenes Co., Sofia pp. 462-482 , DOI: 10.2478/s13540-014-0180-6 and considering network-induced delays as the main drawback, much of the available literature is recently dominated by the compensation of timevarying delays in real-time, especially using gain scheduling (GS) [4,5,6,7]. In many instances, this method of control is clearly reasonable and can be justified by appropriate experimental results.…”

Section: Introductionmentioning

confidence: 99%

Adaptive gain-order fractional control for network-based applications

Tejado

HosseinNia

Vinagre

2014

fcaa

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This paper deals with the application of adaptive fractional order control to networked control systems (NCSs) to compensate the effects of timevarying network-induced delays. In essence, it adapts both the gains and the orders of a local PI α D μ controller in accordance with the current network condition in order to avoid a decreased control performance. A frequency domain framework is provided to analyze the system stability on the basis of the switching systems theory. The velocity control of a servomotor through the Internet is given to show the effectiveness of the proposed adaptive controller, including a comparison with non-and gain scheduled controllers.MSC 2010 : 93C40, 93D99

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Design of Networked Control Systems With Explicit Compensation for Time-Delay Variations

Cited by 41 publications

References 45 publications

Transmission Reliability Evaluation for Wireless Sensor Networks

Transmission Reliability Evaluation for Wireless Sensor Networks

Networked Control System – A Survey

Adaptive gain-order fractional control for network-based applications

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