Informative conditions for the data set in an MIMO networked control system with delays, packet dropout and transmission scheduling

Zhang, Cong; Xiong, Zhuo; Ye, Hao

doi:10.1080/00207721.2013.860203

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Lemma 1: Schedulability (Zhang et al, 2014). For the controller of the NCS studied, if the proportional gain in Equation ( 11) holds,…”

Section: Variable Sampling Period Algorithmmentioning

confidence: 99%

Deadband feedback-based scheduling approach for networked control system with variable sampling period

Tian

2021

Transactions of the Institute of Measurement and Control

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Reasonable information scheduling strategies in the networked control system (NCS) can improve the quality of service of the network, reduce the conflict of information transmission in the network, and improve the overall performance of the NCS. In order to improve the performance of the NCS, a deadband feedback-based scheduling approach for the NCS with a variable sampling period is proposed. For the NCS with multi control loops, considering the limitation of network bandwidth resources, the dynamic real-time adjustment of a multi-loop sampling period is achieved through network utilization prediction, network bandwidth configuration and sampling period calculation. Furthermore, deadband feedback scheduling is combined with a variable sampling period algorithm. Deadband is set in the sensor and controller nodes to effectively adjust the information flow of the forward channel and the feedback channel. The proposed scheduling approach can reduce the impact of network conflict and network delay on system stability, make the network resources allocated reasonably, save network data traffic, and improve the overall performance of the NCS. A NCS with five control loops is used as the simulation object and carried out by True Time toolbox. The simulation results show that the proposed scheduling approach can improve output control performance of the system, reduce integral absolute error value of the control loops, and improve network utilization. The overall control performance of the system is improved.

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“…Lemma 1: Schedulability (Zhang et al, 2014). For the controller of the NCS studied, if the proportional gain in Equation ( 11) holds,…”

Section: Variable Sampling Period Algorithmmentioning

confidence: 99%

Deadband feedback-based scheduling approach for networked control system with variable sampling period

Tian

2021

Transactions of the Institute of Measurement and Control

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“…Since 2000, the system identification approach has been accepted as a powerful procedure for identifying the model parameters of unknown systems, especially in the field of energy performance in buildings. The available algorithms [63,64], informative conditions [65][66][67], and other aspects of the system identification method are studied in different books and papers.…”

Section: Inverse Modelling and System Identificationmentioning

confidence: 99%

On the Evolution and Application of the Thermal Network Method for Energy Assessments in Buildings

2018

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This paper describes the evolution of the thermal network and its applications for making simplified thermal models of buildings by means of thermal resistances (R) and capacitances (C). In the literature, there are several modelling schemes for buildings. Here, we investigate the advantages, disadvantages, and improvements of thermal networks. The thermal network method has been used in different studies for calculating indoor air temperature and heating load, estimating model parameters, and studying building interactions with heating and cooling systems. This review paper conducts an investigation into the application, system identification, and structure of thermal networks compared to other tools. Within the framework of the thermal network method, we conclude with some new proposals for research in this field to expand the idea of the thermal network to other engineering and energy management fields.

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Performance limitations for networked control systems with plant uncertainty

Chi

Guan

Cheng

et al. 2014

International Journal of Systems Science

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There has recently been significant interest in performance study for networked control systems with communication constraints. But the existing work mainly assumes that the plant has an exact model. The goal of this paper is to investigate the optimal tracking performance for networked control system in the presence of plant uncertainty. The plant under consideration is assumed to be non-minimum phase and unstable, while the two-parameter controller is employed and the integral square criterion is adopted to measure the tracking error. And we formulate the uncertainty by utilising stochastic embedding. The explicit expression of the tracking performance has been obtained. The results show that the network communication noise and the model uncertainty, as well as the unstable poles and non-minimum phase zeros, can worsen the tracking performance.

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Informative conditions for the data set in an MIMO networked control system with delays, packet dropout and transmission scheduling

Cited by 7 publications

References 24 publications

Deadband feedback-based scheduling approach for networked control system with variable sampling period

Deadband feedback-based scheduling approach for networked control system with variable sampling period

On the Evolution and Application of the Thermal Network Method for Energy Assessments in Buildings

Performance limitations for networked control systems with plant uncertainty

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