Abstract
In order to compensate the network-induced random delays in networked control systems (NCSs), the semi-continuous hidden Markov model (SCHMM) is introduced in this paper to model the controller-to-actuator (CA) delay in the forward network channel. The expectation maximization algorithm is used to obtain the optimal estimation of the model’s parameters, and the Viterbi algorithm is used to predict the CA delay in the current sampling period. Thus, the predicted CA delay and the measured sensor-tocontroller (SC) delay in the current sampling period are used to design an optimal controller. Under this controller, the exponentially mean square stability of the NCS is guaranteed, and the SC and CA delays are compensated. Finally, the effectiveness of the method proposed in this paper is demonstrated by a simulation example. Moreover, a comparative example is also given to illustrate the superiority of the SCHMM-based optimal controller over the discrete hidden Markov model (DHMM)-based optimal controller.
Similar content being viewed by others
References
R. A. Gupta, M. Y. Chow. Networked control system: Overview and research trends. IEEE Transactions on Industrial Electronics, vol. 57, no. 7, pp. 2527–2535, 2010.
L. X. Zhang, H. J. Gao, O. Kaynak. Network-induced constraints in networked control systems-A survey. IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 403–416, 2013.
L. X. Zhang, H. J. Gao, F. Lewis, O. Kaynak. Guest editorial advances in theories and industrial applications of networked control systems. IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 303–305, 2013.
Y. Ge, Q. G. Chen, M. Jiang, Y. Q. Huang. Modeling of random delays in networked control systems. Journal of Control Science and Engineering, vol. 2013, Article ID 383415, 2013.
J. H. Zhang, J. Lam, Y. Q. Xia. Output feedback delay compensation control for networked control systems with random delays. Information Sciences, vol. 265, pp. 154–166, 2014.
Y. Ge, Q. G. Chen, M. Jiang, Y. Q. Huang. SCHMM-based modeling and prediction of random delays in networked control systems. Journal of The Franklin Institute, vol. 351, no. 5, pp. 2430–2453, 2014.
R. Luck, A. Ray. An observer-based compensator for distributed delays. Automatica, vol. 26, no. 5, pp. 903–908, 1990.
F. L. Lian, J. Moyne, D. Tilbury. Modelling and optimal controller design of networked control systems with multiple delays. International Journal of Control, vol. 76, no. 6, pp. 591–606, 2003.
L. Dritsas, A. Tzes. Robust stability bounds for networked controlled systems with unknown, bounded and varying delays. IET Control Theory and Applications, vol. 3, no. 3, pp. 270–280, 2009.
E. G. Tian, D. Yue, T. C. Yang, Z. Gu, G. P. Lu. T-S fuzzy model-based robust stabilization for networked control systems with probabilistic sensor and actuator failure. IEEE Transactions on Fuzzy Systems, vol. 19, no. 3, pp. 553–561, 2011.
R. N. Yang, G. P. Liu, P. Shi, C. Thomas, M. V. Basin. Predictive output feedback control for networked control systems. IEEE Transactions on Industrial Electronics, vol. 61, no. 1, pp. 512–520, 2014.
Y. Zheng, H. J. Fang, H. O. Wang. Takagi-sugeno fuzzymodel-based fault detection for networked control systems with Markov delays. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 36, no. 4, pp. 924–929, 2006.
Y. Shi, B. Yu. Output feedback stabilization of networked control systems with random delays modeled by Markov chains. IEEE Transactions on Automatic Control, vol. 54, no. 7, pp. 1668–1674, 2009.
J. W. Dong, W. J. Kim. Markov-chain-based output feedback control for stabilization of networked control systems with random time delays and packet losses. International Journal of Control, Automation and Systems, vol. 10, no. 5, pp. 1013–1022, 2012.
H. Zhang, Y. Shi, J. M. Wang. Observer-based tracking controller design for networked predictive control systems with uncertain Markov delays. International Journal of Control, vol. 86, no. 10, pp. 1824–1836, 2013.
Y. Ge, S. Cong, W. W. Shang. Compensation for the stochastic delays in networked control systems. Journal of Graduate University of Chinese Academy of Sciences, vol. 30, no. 2, pp. 179–186, 2013. (in Chinese)
Y. Ge, S. Cong, W. W. Shang. DTHMM based optimal controller design for networked control systems. Journal of University of Science and Technology of China, vol. 42, no. 2, pp. 161–169, 2012. (in Chinese)
T. Liu, D. J. Hill, J. Zhao. Synchronization of dynamical networks by network control. IEEE Transactions on Automatic Control, vol. 57, no. 6, pp. 1574–1580, 2012.
K. J. Äström. Introduction to Stochastic Control Theory, New York, USA: Academic Press, 1970.
E. Yaz. Control of randomly varying systems with prescribed degree of stability. IEEE Transactions on Automatic Control, vol. 33, no. 4, pp. 407–411, 1988.
S. S. Hu, Q. X. Zhu. Stochastic optimal control and analysis of stability of networked control systems with long delay. Automatica, vol. 39, no. 11, pp. 1877–1884, 2003.
A. Cervini, M. Ohlin, D. Henriksson. Simulation of networked control systems using TrueTime. In Proceedings of the 3rd International Workshop on Networked Control Systems: Tolerant to Faults, Nancy, France, 2007.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported by National Natural Science Foundation of China (NoS. 61203034 and 61572032).
Recommended by Associate Editor Qing-Long Han
Yuan Ge received the B. Sc., M. Sc., and Ph.D. degrees from University of Science and Technology of China in 2002, 2005 and 2011, respectively. Now, he is a visiting scholar in the Department of Electrical Engineering at Tsinghua University, China, and he is also a professor in the College of Electrical Engineering at Anhui Polytechnic University, China.
His research interests include networked control systems, telerobotic systems and optimal control.
ORCID iD: 0000-0003-2037-319X
Yaoyiran Li is a senior student majoring in electrical engineering at University of Electronic Science and Technology of China, China. He is an IEEE student member (No. 93258350).
His research interests include robotics, artificial intelligence and automatic control.
ORCID iD: 0000-0001-9529-3878
Rights and permissions
About this article
Cite this article
Ge, Y., Li, Y. SCHMM-based compensation for the random delays in networked control systems. Int. J. Autom. Comput. 13, 643–652 (2016). https://doi.org/10.1007/s11633-016-1001-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11633-016-1001-7