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Moving-Horizon Estimation with Binary Encoding Schemes

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Stochastic Control and Filtering over Constrained Communication Networks

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 178))

Abstract

Complex networks are composed of a large number of dynamical nodes interconnected according to network topologies. Many complicated practical systems can be generally described by complex networks in terms of nodes, edges, and interactions. Thanks to their extensive applications in diverse real-world systems such as electrical power systems, manufacturing processes, compartmental systems, and biological processes, the analysis and synthesis problems of complex networks have now become a very active research topic in both industry and academia.

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References

  1. H. Su, Z. Rong, M.Z.Q. Chen, X. Wang, G. Chen, H. Wang, Decentralized adaptive pinning control for cluster synchronization of complex dynamical networks. IEEE Trans. Cybern. 43(1), 394–399 (2013)

    Article  Google Scholar 

  2. J. Hu, Z. Wang, S. Liu, H. Gao, A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements. Automatica 64, 155–162 (2016)

    Article  MathSciNet  Google Scholar 

  3. U.A. Khan, J.M.F. Moura, Distributing the Kalman filter for large-scale systems. IEEE Trans. Signal Process. 56(10), 4919–4935 (2008)

    Article  MathSciNet  Google Scholar 

  4. R. Kalman, A new approach to linear filtering and prediction problems. J. Basic Eng. 82(1), 35–45 (1960)

    Article  Google Scholar 

  5. A. Alessandri, M. Baglietto, G. Battistelli, Receding-horizon estimation for discrete-time linear systems. IEEE Trans. Autom. Control 48(3), 473–478 (2003)

    Article  MathSciNet  Google Scholar 

  6. C.V. Rao, J.B. Rawlings, J.H. Lee, Constrained linear state estimation-a moving horizon approach. Automatica 37(10), 1619–1628 (2001)

    Article  Google Scholar 

  7. A. Alessandri, M. Awawdeh, Moving-horizon estimation with guaranteed robustness for discrete-time linear systems and measurements subject to outliers. Automatica 67, 85–93 (2016)

    Article  MathSciNet  Google Scholar 

  8. C.V. Rao, J.B. Rawlings, D.Q. Mayne, Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations. IEEE Trans. Autom. Control 48(2), 246–258 (2003)

    Article  MathSciNet  Google Scholar 

  9. Y. Guo, B. Huang, Moving horizon estimation for switching nonlinear systems. Automatica 49(11), 3270–3281 (2013)

    Article  MathSciNet  Google Scholar 

  10. A. Liu, L. Yu, W. Zhang, M. Chen, Moving horizon estimation for networked systems with quantized measurements and packet dropouts. IEEE Trans. Circuits Syst. I Regul. Pap. 60(7), 1823–1834 (2013)

    Article  MathSciNet  Google Scholar 

  11. B. Xue, S. Li, Q. Zhu, Moving horizon state estimation for networked control systems with multiple packet dropouts. IEEE Trans. Autom. Control 57(9), 2360–2366 (2012)

    Article  MathSciNet  Google Scholar 

  12. H. Leung, C. Seneviratne, M. Xu, A novel statistical model for distributed estimation in wireless sensor networks. IEEE Trans. Signal Process. 63(12), 3154–3164 (2015)

    Article  MathSciNet  Google Scholar 

  13. A. Bernstein, K. Steiglitz, J. Hopcroft, Encoding of analog signals for binary symmetric channels. IEEE Trans. Inf. Theory 12(4), 425–430 (1966)

    Article  Google Scholar 

Download references

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Correspondence to Qinyuan Liu .

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Liu, Q., Wang, Z., He, X. (2019). Moving-Horizon Estimation with Binary Encoding Schemes. In: Stochastic Control and Filtering over Constrained Communication Networks. Studies in Systems, Decision and Control, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-030-00157-5_11

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