The Application of GPC Algorithm on Network Predictive Control Based on Toeplitz Equation

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Network latency was usually uncertain or random, and the packet loss and temporal disorders could also be attributed to a certain degree of time delay. This paper briefly described the basic principle of predictive control and deduced the predictive control algorithm based on Toeplitz equation, finally combined with the simulation example to verify the validity and superiority of the new algorithm, from the operation speed of the algorithm, the signal tracking capabilities when time delay existed, and performance for overcoming the influence of model mismatch.

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966-971

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lin H, Antsaklis P J (2005). Stability and persistent disturbance attenuation properties for a class of networked control systems: switched system approach [J]. International Journal of Control, 78(18): 1447-1458.

DOI: 10.1080/00207170500329182

Google Scholar

[2] Takagi T, Sugeno M (1985). Fuzzy Identification of Systems and its Applications to Modeling and Control [J]. IEEE Trans. SMC, (15): 116-132.

DOI: 10.1109/tsmc.1985.6313399

Google Scholar

[3] Richalet J, et al (1978). Modeling Predictive Heuristic Control: Application to Industrial Processes. Automatical, 14(5): 413-428.

Google Scholar

[4] Wang Wei (1998). Generalized Predictive Control Theory and Its Application [M]. Beijing: Science Press.

Google Scholar

[5] He Z H, Liu B, Jiang Z (2010). The Application of Predictive Sequence Control in Networked Control System [A]. 2010 International Conference on Computer and Computational Intelligence, V4: 66-70.

Google Scholar

[6] Pin G, Filippo M, Parisini T (2009). Networked MPC for Constrained Linear Systems: a Recursive Feasibility Approach[C]. Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, 12: 555-560.

DOI: 10.1109/cdc.2009.5400031

Google Scholar

[7] Qiu Zhanzhi, Wang Qingli (2005). Time Delay Characteristic Analysis of Networked Control Systems [J]. Journal of shenyang university of technology. (01): 94-97.

Google Scholar

[8] He Z H, Liu B, Jiang Z (2010). The Application of Predictive Sequence Control in Networked Control System [A]. 2010 International Conference on Computer and Computational Intelligence, V4: 66-70.

Google Scholar