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A Novel Networked Predictive Control Method for Systems with Random Communication Constraints

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Abstract

This paper presents a novel observer-based predictive control method for networked systems where random network-induced delays, packet disorders and packet dropouts in both feedback and forward channels are considered. The proposed method has three significant features: i) A concept of destination-based lumped (DBL) delay is introduced to represent the combined effects of random communication constraints in each channel; ii) in view of different natures of the random DBL delays in the feedback and forward channels, different compensation schemes are designed; and iii) it is actual control inputs rather than predicted ones that are employed to generate future control signals based on the latest system state estimate available in the controller. For the resulting closed-loop system, a necessary and sufficient stability condition is derived, which is less conservative and also independent of random communication constraints in both channels. Simulation results are provided to demonstrate the effectiveness of the proposed method.

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Corresponding author

Correspondence to Chuandong Bai.

Additional information

This work was supported in part by the National Natural Science Foundation of China under Grant Nos. 61673023 and 61773144, the Youth Talent Support Program of Beijing Municipality, the NCUT Yujie Talent Training Program, the NCUT Science and Technology Innovation Project, and the BMEC Basic Scientific Research Foundation.

This paper was recommended for publication by Editor SUN Jian.

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Pang, Z., Bai, C., Liu, G. et al. A Novel Networked Predictive Control Method for Systems with Random Communication Constraints. J Syst Sci Complex 34, 1364–1378 (2021). https://doi.org/10.1007/s11424-021-0160-y

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  • DOI: https://doi.org/10.1007/s11424-021-0160-y

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