References
Zhao Y L, Bi W J, Wang T. Iterative parameter estimate with batched binary-valued observations. Sci China Inf Sci, 2016, 59: 052201
Wang L Y, Zhang J F, Yin G G. System identification using binary sensors. IEEE Trans Autom Control, 2003, 48: 1892–1907
Aguero J C, Goodwin G C, Yuz J I. System identification using quantized data. In: Proceedings of the 46th IEEE Conference on Decision and Control, 2007
Casini M, Garulli A, Vicino A. Time complexity and input design in worst-case identification using binary sensors. In: Proceedings of the 46th IEEE Conference on Decision and Control, 2007
You K Y, Xie L H, Sun S L, et al. Multiple-level quantized innovation Kalman filter. In: Proceedings of the 17th IFAC World Congress, 2008
Wang L Y, Yin G G. Asymptotically efficient parameter estimation using quantized output observations. Automatica, 2007, 43: 1178–1191
Guo J, Wang L Y, Yin G, et al. Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs. Automatica, 2015, 57: 113–122
Zhao Y, Zhang J F, Wang L Y, et al. Identification of Hammerstein systems with quantized observations. SIAM J Control Optim, 2010, 48: 4352–4376
Wang T, Zhao Y L. An identification algorithm without truncation for binary-valued output systems. In: Proceedings of the 12th World Congress on Intelligent Control and Automation, 2016
Acknowledgements
This work was supported by China Postdoctoral Science Foundation (Grant No. 2018M630216), National Natural Science Foundation of China (Grant Nos. 61803370, 61622309), and National Key Research and Development Program of China (Grant No. 2016YFB0901902).
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Wang, T., Tan, J. & Zhao, Y. Asymptotically efficient non-truncated identification for FIR systems with binary-valued outputs. Sci. China Inf. Sci. 61, 129208 (2018). https://doi.org/10.1007/s11432-018-9646-7
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DOI: https://doi.org/10.1007/s11432-018-9646-7