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Incremental Networked Predictive Control Based on Linear Input–Output Model

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Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks
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Abstract

In this chapter, based on the incremental form of an input–output difference equation model, an incremental networked predictive control method is proposed for networked linear systems with random network-induced delays, packet disorders, and packet dropouts in the feedback and forward channels. In ideal situations, the resulting closed-loop networked system can achieve the same output tracking performance as that of the corresponding local control system. Even if there exists a mismatch between the controlled plant and its model, the closed-loop networked system can achieve a zero steady-state output tracking error for a step reference input as long as the closed-loop stability is guaranteed. Numerical simulations and practical experiments are carried out to demonstrate the effectiveness of the proposed method.

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Notes

  1. 1.

    The INPC system denotes (4.1) with (4.19), and the LCS is (4.1) with (4.2).

References

  1. Pang, Z.H., Liu, G.P., Zhou, D.: Design and performance analysis of incremental networked predictive control systems. IEEE Trans. Cybern. 46(6), 1400–1410 (2016)

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Correspondence to Zhong-Hua Pang .

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Pang, ZH., Liu, GP., Zhou, D., Sun, D. (2019). Incremental Networked Predictive Control Based on Linear Input–Output Model. In: Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks. Springer, Singapore. https://doi.org/10.1007/978-981-13-0520-7_4

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