Robust observers for neutral jumping systems with uncertain information

With the integration of communication networks and distributed control in modern manufacturing and process industries, networked control systems (NCSs) are becoming increasingly important due to its simplicity, scalability, flexibility, and cost effectiveness. However, there are still significant technical barriers that limit the applications of NCS technologies. Two challenges are network-induced time delay and data packet dropout. Applying a real-time queuing protocol that we developed recently, we are able to limit the sum of the network-induced communication delay and the control computation delay within a control period. This one-period delay is further guaranteed by well designed compensation for control packet dropout. Then, this paper proposes to compensate for the control packet dropout at the actuator using past control signals. Three model-free strategies for control packet dropout compensation, namely, PD (proportional plus derivative), PD2 (proportional plus up to the second-order derivative), and PD3 (proportional plus up to the third-order derivative) are developed. They are suitable for a large number of NCSs without the need to tune the compensator parameters. The proposed dropout compensation schemes are demonstrated through numerical examples.

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“…[14], may also be applicable to NCSs. Similar to the method by Schenato [19], most of these schemes require an accurate process model.…”

Section: Introductionmentioning

confidence: 99%

Compensation for control packet dropout in networked control systems

Tian

Levy

2008

Information Sciences

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“…[2,10,17,18,25,34]. When it comes to the processing of feedback loops, positive ones can lead to amplification and should be broken, while negative ones can lead to oscillation and can be balanced [2,39].…”

Section: Related Workmentioning

confidence: 99%

Qualitative-probabilistic-network-based modeling of temporal causalities and its application to feedback loop identification

Liu

Yue

Liu

et al. 2008

Information Sciences

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“…However, their works were under the assumption that the state can be fully measured. In the case of only the output signals can be observed [6,7,11], there is still much room left for further improvement. Furthermore, to the best of the our knowledge, when considering both the measured output and the control input quantization, the stability and stabilization of NCSs based on a continuous model has not been fully investigated and still remains challenging.…”

Section: Introductionmentioning

confidence: 99%