[B1] Le Yi Wang, G. George Yin, Ji-Feng Zhang and Yanlong Zhao, System Identification with Quantized Observations, Theory and Applications, ISBN 978-0-8176-4955-5, Birkhauser, Boston, 2010.

Papers:

[J1] Yanlong Zhao, Le Yi Wang, George Yin and Ji-Feng Zhang, Identification of Wiener systems with binary-valued output observations, Automatica, 43(10): 1752-1765, 2007.

[J2] Le Yi Wang, George Yin, Yanlong Zhao and Ji-Feng Zhang, Identification input design for consistent parameter estimation of linear systems with binary-valued output observations, IEEE Transactions on Automatic Control, 53(4): 867-880, 2008.

[J3] Le Yi Wang, George Yin, Ji-Feng Zhang and Yanlong Zhao, Space and time complexities and sensor threshold selection in quantized identification, Automatica, 44(12): 3014-3024, 2008.

[J4] Yanlong Zhao, Le Yi Wang, George Yin and Ji-Feng Zhang, Identification of Hammerstein systems with quantized observations, SIAM Journal on Control and Optimization, 48(7): 4352-4376, 2010.

[J5] Jin Guo, Ji-Feng Zhang and Yanlong Zhao, Adaptive tracking control of a class of first-order systems with binary-valued observations and time-varying thresholds, IEEE Transactions on Automatic Control, 56(12): 2991-2996, 2011.

[J6] Jin Guo, Ji-Feng Zhang and Yanlong Zhao, Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds, Journal of Systems Science and Complexity, 25(6): 1041-1051, 2012.

[J7] Wenjian Bi, Jin Guo, Yanlong Zhao and Ji-Feng Zhang, A strong connectivity decomposition method for analyzing the multi-equilibrium property of general metabolic networks, Journal of System Science and Mathematical Science, 32(6): 653-665, 2012. (in Chinese)

[J8] Yanlong Zhao, Ji-Feng Zhang and Jin Guo, System identification and adaptive control of set-valued systems, Journal of System Science and Mathematical Science, 32(10): 1257-1265, 2012. (in Chinese) 

[J9] Jin Guo, Ji-Feng Zhang and Yanlong Zhao, Multi-equilibrium property of metabolic networks: MMN module, International Journal of Robust and Nonlinear Control, 24(10): 1505-1529, 2012.

[J10] Yanlong Zhao, Jin Guo and Ji-Feng Zhang, Adaptive tracking control of linear systems with binary-valued observations and periodic target, IEEE Transactions on Automatic Control, 58(5): 1293-1298, 2013.

[J11] Jin Guo and Yanlong Zhao,  Recursive projection algorithm on FIR system identification with binary-valued observations, Automatica, 49(11): 3396-3401, 2013.

[J12] Jin Guo and Yanlong Zhao, Identification of gain system with quantized observations and bounded persistent excitations, Science in China Series F: Information Sciences, 57(1): 1-15, 2014.

[J13] Guolian Kang, Wenjian Bi, Yanlong Zhao, Ji-Feng Zhang, Jun J. Yang, Heng Xu, Mignon L. Loh, Stephen P. Hunger, Mary V. Relling, Stanley Pounds, Cheng Cheng , A powerful and robust system identification approach to testing genotype-phenotype associations, Human Heredity, 78(2): 104-116, 2014.

[J14] Hao Yu, Wenjian Bi, Chenxing Liu, Yanlong Zhao, Ji-Feng Zhang, Dai Zhang and Weihua YUE, Protein-interaction-network-based analysis for genome-wide association analysis of schizophrenia in Han Chinese population, Journal of Psychiatric Research, 50: 73-78, 2014.

[J15] Jin Guo, Le Yi Wang, George Yin, Yanlong Zhao and Ji-Feng Zhang, Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs, Automatica, 57(7): 113-122, 2015.

[J16] Jin Guo, Yanlong Zhao*, Changyin Sun and Yao Yu, Recursive identification of FIR systems with binary-valued outputs and communication channels, Automatica, 60(10): 165-172, 2015.

[J17] Jin Guo, Yanlong Zhao* and Changyin Sun, State estimation with quantised innovations and communication channels, IET Control Theory and Applications, 9(17): 2606-2612, 2015.

[J18] Wenjian Bi, Guolian Kang, Yanlong Zhao, Yuehua Cui, et al, SVSI: Fast and powerful set-valued system identification approach to identifying rare variants in sequencing studies for ordered categorical traits, Annals of Human Genetics, 79(4): 294-309, 2015.

[J19] Ting Wang, Wenjian Bi, Yanlong Zhao* and Wenchao Xue, Radar target recognition algorithm based on RCS observation sequence—Set-valued identification method, Journal of Systems Science and Complexity, 29(3): 1-16, 2016.

[J20] Hao Yu, Wenjian Bi, Chenxing Liu, Yanlong Zhao, Dai Zhang and Weihua Yue, A hypothesis-driven pathway analysis reveals myelin-related pathways that contribute to the risk of schizophrenia and bipolar disorder, Neuro-Psychopharmacology and Biological Psychiatry, 51: 140-145, 2016.

[J21] Guolian Kang, Wenjian Bi, Hang Zhang and Yanlong Zhao, et al, A robust and powerful set-valued approach to rare variant association analyses of secondary traits in case-control sequencing studies, Genetics, 205(3), 2016.

[J22] Yanlong Zhao*, Wenjian Bi and Ting Wang, Iterative parameter estimate with batched binary-valued observations, Science China Information Sciences, 59(5): 052201, 2016.

[J23] Ximei Wang, Xingkang He, Ying Bao and Yanlong Zhao*, Parameter estimates of stochastic volatility model with maximum likelihood estimation and consistent extended kalman filter algorithm, Science China Information Sciences, 61, 042202: 1-17, April 2018.

[J24] Ting Wang, Hang Zhang and Yanlong Zhao*, Average consensus of multi-agent systems under directed topologies and binary-valued communications, IEEE Access, 6: 55995-56006, 2018.

[J25] Ximei Wang, Yanlong Zhao* and Ying Bao, Arbitrage-free conditions for implied volatility surface by Delta, The North American Journal of Economics and Finance, 48: 819-834, 2019.

[J26] Yanlong Zhao*, Ting Wang and Wenjian Bi, Consensus protocol for multi-agent systems with undirected topologies and binary-valued communications, IEEE Transactions on Automatic Control, 64(1): 206-221, 2019.

[J27] Ting Wang, Hang Zhang and Yanlong Zhao*, Parameter Estimation Based on Set-Valued Signals: Theory and Application, Acta Mathematicae Applicatae Sinica, English Series, 35(2): 255-263, 2019.

[J28] Ting Wang, Min Hu and Yanlong Zhao*, Consensus control with a constant gain for discrete-time binary-valued multi-agent systems based on a projected empirical measure method, IEEE/CAA Journal of Automatica Sinica, 6(4): 1052-1059, 2019.

[J29] Hang Zhang, Ting Wang and Yanlong Zhao*, FIR system identification with set-valued and precise observations from multiple sensors, Science China Information Sciences, 62(5): 052203, 2019.

[J30] Ximei Wang, Ting Wang, Changbao Xu and Yanlong Zhao*, Average consensus of multi-agent system with measurement noise and binary-valued communication, Asian journal of control, 21(4): 1-14, July 2019.

[J31] Hang Zhang, Wenjian Bi, Yuehua Cui, Honglei Chen, Jinbo Chen, Yanlong Zhao* and Guolian Kang*, Extreme-value sampling design is cost-beneficial only with a valid statistical approach for exposure-secondary outcome association analyses, Statistical Methods in Medical Research, 29(2): 466-480, 2020.

[J32] Ximei Wang, Min Hu, Yanlong Zhao* and Boualem Djehiche, Credit scoring based on the set-valued identification method, Journal of Systems Science and Complexity, 33: 1297-1309, April 2020.

[J33] Shuang Li, Cheng Peng, Ying Bao and Yanlong Zhao*, Explicit expressions to counterparty credit exposures for forward and European Option, The North American Journal of Economics and Finance, 52： 101130, 2020.

[J34] Ting Wang, Hang Zhang and Yanlong Zhao*, Consensus of multi-agent systems under binary-valued measurements and recursive projection algorithm, IEEE Transactions on Automatic Control, 65(6): 2678-2685, 2020.

[J35] Ting Wang, Min Hu, Yanlong Zhao*, Consensus of linear multi-agent systems with stochastic noises and binary-valued communications, International Journal of Robust and Nonlinear Control, 30: 4863-4879, 2020.

[J36] Jin Guo, Jing Cheng, Wenchao Xue, Yanlong Zhao*, Asymptotic efficiency and probabilistic error bound for maximum likelihood-based identification of finite impulse response systems with binary-valued observations and unreliable communications, International Journal of Adaptive control and Signal Processing, 34: 1483-1500, 2020.

[J37] Cheng Peng, Shuang Li, Yanlong Zhao*, Ying Bao, Sample average approximation of CVaR-based hedging problem with a deep-learning solution, The North American Journal of Economics and Finance, 56: 101325, 2021.

[J38] Hang Zhang, Ting Wang and Yanlong Zhao*, Asymptotically efficient recursive identification of FIR systems with binary-valued observations, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(5): 2687-2700, 2021.

[J39] Jin Guo, Xuebin Wang, Wenchao Xue and Yanlong Zhao*, System identification with binary-valued observations under data tampering attacks, IEEE Transactions on Automatic Control, 66(8): 3825-3832, 2021.

[J40] Ting Wang, Min Hu and Yanlong Zhao*, Adaptive tracking control of FIR systems under binary-valued observations and recursive projection identification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(9): 5289-5299, 2021.

[J41] Shuping Tan, Jin Guo, Yanlong Zhao and Ji-Feng Zhang, Adaptive control with saturation-constrainted observations for drag-free satellites --- a set-valued identification approach, Science China Information Sciences, 64, 202202: 1-202202: 12, 2021.

[J42] Ying Wang, Yanlong Zhao* and Ji-Feng Zhang, Distributed recursive projection identification with binary-valued observations, Journal of Systems Science and Complexity, 34(5): 1-21, 2021.

[J43] Min Hu, Ting Wang, Yanlong Zhao*, Consensus of switched multi-agent systems with binary-valued communications, Science China Information Sciences, 65: 162207, 2022.

[J44] Ying Wang, Yanlong Zhao*, Ji-Feng Zhang and Jin Guo, A unified identification algorithm of FIR systems based on binary observations with time-varying thresholds, Automatica, 135: 109990, 2022.

[J45] Lantian Zhang, Yanlong Zhao, Lei Guo, Identification and adaptation with binary-valued observations under non-persistent excitation condition, Automatica, 138: 110158, 2022.

[J46] Xiaoyan Zhang, Wenchao Xue and Yanlong Zhao, On observability analysis and observer design for a class of nonlinear uncertain systems with general elastic vibration dynamics, Asian Journal of Control, 24(4): 2013-2024, 2022.

[J47] Ruoshi Shi, Yanlong Zhao*, Ying Bao and Cheng Peng, Sensitivity-based Conditional Value at Risk (SCVaR): An efficient measurement of credit exposure for options, The North American Journal of Economics and Finance, 62(2): 101781, 2022.

[J48] Shuang Li, Cheng Peng, Ying Bao, Yanlong Zhao* and Zhen Cao, Analytical Expressions to Counterparty Credit Risk Exposures for Interest Rate Derivatives, Acta Mathematicae Applicatae Sinica, 38(2):254-270, 2022.

[J49] Yanlong Zhao*, Hang Zhang, Ting Wang and Guolian Kang, System identification under saturated precise or set-valued measurements, Science China Information Sciences, 66: 112204, 2023.

[J50] Ting Wang, Xin Li, Jin Guo, Yanlong Zhao*, Identification of ARMA models with binary-valued observations, Automatica,149: 110832, 2023.