论文论著
当前位置: 网站首页 > 科研成果 > 论文论著 > 正文

2017年重点实验室发表的代表性论文

发布时间 :2017-12-31 来源:   已浏览:

[1] SY Zhao, B Huang, F Liu. Linear optimal unbiased filter for time-variant systems without apriori information on initial conditions [J]. IEEE Transactions on Automatic Control, 2017, 62(2): 882-887.

[2] SY Zhao, YS Shmaliy. On the Iterative Computation of Error Matrix in Unbiased FIR Filtering [J]. IEEE Signal Processing Letters, 2017, 24(5): 555-558.

[3] SY Zhao, YS Shmaliy, CK Ahn, P Shi. Real-time optimal state estimation of multi-DOF industrial systems using FIR filtering [J]. IEEE Transactions on Industrial Informatics, 2017, 13(3): 967-975.

[4] SY Zhao, YS Shmaliy, P Shi, CK Ahn. Fusion Kalman/UFIR filter for state estimation with uncertainties parameters and noise statistics [J]. IEEE Transactions on Industrial Electronics, 2017, 64(4): 3075-3083.

[5] SY Zhao, YS Shmaliy, GL Ji, SH Khan. Fast bias-constrained optimal FIR filtering for time-invariant state space models [J]. International Journal of Adaptive Control and Signal Processing, 2017, 31(7): 1061-1076.

[6] YS Shmaliy, SY Zhao, CK Ahn. Unbiased finite impulse response filtering: an iterative alternative to Kalman filtering ignoring noise and initial conditions [J]. IEEE Control Systems, 2017, 37(5): 70-89.

[7] YS Shmaliy, SH Khan, SY Zhao. General Unbiased FIR Filter With Applications to GPS-Based Steering of Oscillator Frequency [J]. IEEE Transactions on Control Systems Technology, 2017, 25(3): 1141-1148.

[8] CK Ahn, YS Shmaliy, SY Zhao. Continuous-Time Deadbeat H-2 FIR Filter [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2017, 64(8): 987-991.

[9] CK Ahn, SY Zhao, YS Shmaliy. Frequency-Efficient Receding Horizon H infinity FIR Filtering in Discrete-Time State-Space [J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2017, 64(11): 2945-2953.

[10] XL Luan, Q Chen, A Pedro, F Liu. Compensator design based on inverted decoupling for non-square processes [J]. IET Control Theory and Applications, 2017, 11(7): 996-1005.

[11] XL Luan, M Yang, A Pedro, F Liu. Feed Furnace Temperature Control Based on the Distributed Deviations [J]. Industrial & Engineering Chemistry Research, 2017, 20: 6035-6042.

[12] MM Duan, CL Liu, F Liu. Event-triggered Consensus Seeking of Heterogeneous First-Order Agents with Input Delay [J]. IEEE Access, 2017, 5: 5215-5223.

[13] Qinghua Li, Feng Pan, Zhonggai Zhao. Concurrent probabilistic PLS regression model and its applications in process monitoring [J]. Chemometrics and Intelligent Laboratory Systems, 2017, 171: 40-54.

[14] CL Liu, L Xie, S Liu, F Liu. Asynchronously compensated synchronization algorithm for multiple harmonic oscillators with communication delay [J]. International Journal of Robust and Nonlinear Control, 2017, 27(2): 281-297.

[15] C Xu, SY Zhao, F Liu. Distributed plant-wide process monitoring based on PCA with minimal redundancy maximal relevance [J]. Chemometrics and Intelligent Laboratory Systems, 2017, 169: 53-63.

[16] X Chen, SY Zhao, F Liu. Identification of time-delay Markov jump autoregressive exogenous systems with expectation-maximization algorithm [J]. International Journal of Adaptive Control Signal Process, 2017, 31(12): 1920-1933.

[17] YJ Fu, U Kruger, Z Li, L Xie, J Thompson, D Rooney, J Hahn, HZ Yang. Cross-validatory framework for optimal parameter estimation of KPCA and KPLS models [J]. Chemometrics and Intelligent Laboratory Systems, 2017, 167: 196-207.

[18] F Ding, FF Wang, L Xu, T Hayat, A Alsaedi. Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique [J]. IET Control Theory and Applications, 2017, 11(3): 390-400.

[19] JX Ma, WL Xiong, J Chen, F Ding. Hierarchical identification for multivariate Hammerstein systems by using the modified Kalman filter [J]. IET Control Theory and Applications, 2017, 11(6): 857-869.

[20] L Xu, F Ding. Parameter estimation algorithms for dynamical response signals based on the multi-innovation theory and the hierarchical principle [J]. IET Signal Processing, 2017, 11(2): 228-237.

[21] YW Mao, F Ding, YJ Liu. Parameter estimation algorithms for Hammerstein time-delay systems based on the orthogonal matching pursuit scheme [J]. IET Signal Processing, 2017, 11(3): 265-274.

[22] YW Mao, F Ding, EF Yang. Adaptive filtering-based multi-innovation gradient algorithm for input nonlinear systems with autoregressive noise [J]. International Journal of Adaptive Control and Signal Processing, 2017, 31(10): 1388-1400.

[23] JX Ma, F Ding, WL Xiong, EF Yang. Combined state and parameter estimation for Hammerstein systems with time delay using the Kalman filtering [J]. International Journal of Adaptive Control and Signal Processing, 2017, 31(8): 1139-1151.

[24] J Chen, B Zhuang, YQ Chen, BT Cui. Backstepping-based boundary feedback control for a fractional reaction diffusion system with mixed or Robin boundary conditions [J]. IET Control Theory & Applications, 2017, 11(17): 2964-2976.

[25] HF Tao, W Paszke, E Rogers, HZ Yang, K Galkowski. Iterative learning fault-tolerant control for differential time-delay batch processes in finite frequency domains [J]. Journal of Process Control, 2017, 56: 112-128.

[26] JW Wen, SK Nguang, P Shi, L Peng. Finite-time stabilization of Markovian jump delay systems - A switching control approach [J]. International Journal of Robust and Nonlinear Control, 2017, 27(2): 298-318.

[27] JW Wen, SK Nguang, P Shi, A Nasiri. Robust H∞ control of discrete-time non- homogenous Markovian jump systems via multi-step Lyapunov function approach [J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(7): 1439-1450.

[28] Y Xie, JW Wen, SK Nguang, L Peng. Stability, l2-gain and robust H∞ control for switched systems via N-step ahead Lyapunov function approach [J]. IEEE Access, 2017, 5: 26400-26408.

[29] SY Zhao, CK Ahn, YS Shmaliy, P Shi, RK Agarwal. Iterative Filter with Finite Measurements for Suddenly Maneuvering Targets [J]. Journal of Guidance, Control, and Dynamics, 2017, 40(9): 2316-2021.

[30] XL Luan, Y Min, ZT Ding, F Liu. Stochastic given-time H∞ consensus over Markov jump networks with disturbance constraint [J]. Transactions of the Institute of Measurement & Control, 2017, 39(8): 1253-1261.

[31] S Ting, XL Luan; F Liu. Near-infrared modelling with temperature compensation based on multilevel principal component regression [J]. Vibrational Spectroscopy, 2017, 92: 302-307.

[32] 史婷, 栾小丽, 刘飞. 近红外全局隐含温度补偿模型的预测精度分析[J]. 光 谱 学 与 光 谱 分 析, 2017, 37(4): 1058-1063.

[33] Q Sun, CC Lim, F Liu. Constrained state estimation for stochastic jump systems: moving horizon approach [J]. International Journal of Systems Science, 2017, 48(5): 1009-1021.

[34] 陈令奕, 赵忠盖, 刘飞. 基于特征波段的黄酒近红外光谱检测模型递归更新方法[J]. 光谱学与光谱分析, 2017, 37(11): 3414-3418.

[35] CL Liu. Scaled consensus seeking in multiple non-identical linear autonomous agents [J]. ISA Transactions, 2017, 71(SI): 68-75.

[36] F Ding, FF Wang, L Xu, MH Wu. Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering [J]. Journal of the Franklin Institute, 2017, 354(3): 1321-1339.

[37] F Ding, YJ Wang, JY Dai, QS Li, QJ Chen. A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input-output data filtering [J]. Journal of the Franklin Institute, 2017, 354(15): 6938-6955.

[38] MT Chen, F Ding, L Xu, T Hayat, A Alsaedi. Iterative identification algorithms for bilinear-in-parameter systems with autoregressive moving average noise [J]. Journal of the Franklin Institute, 2017, 354(17): 7885-7898.

[39] XH Wang, F Ding, A Alsaedi, T Hayat. Filtering based parameter estimation for observer canonical state space systems with colored noise [J]. Journal of the Franklin Institute, 2017, 354(1): 593-609.

[40] P Ma, F Ding. New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering [J]. Journal of the Franklin Institute, 2017, 354(3): 1568-1583.

[41] YJ Wang, F Ding. A filtering based multi-innovation gradient estimation algorithm and performance analysis for nonlinear dynamical systems [J]. IMA Journal of Applied Mathematics, 2017, 82(6): 1171-1191.

[42] YJ Wang, F Ding. Iterative estimation for a non-linear IIR filter with moving average noise by means of the data filtering technique [J]. IMA Journal of Mathematical Control and Information, 2017, 34(3): 745-764.

[43] JX Ma, F Ding. Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive systems by using the key term separation technique [J]. Circuits, Systems and Signal Processing, 2017, 36(2): 577-599.

[44] DD Meng. Recursive least squares and multi-innovation gradient estimation algorithms for bilinear stochastic systems [J]. Circuits, Systems and Signal Processing, 2017, 36(3): 1052-1065.

[45] BB Shen, F Ding, A Alsaedi, T Hayat. Gradient-based recursive identification methods for input nonlinear equation error closed-loop systems [J]. Circuits, Systems and Signal Processing, 2017, 36(5): 2166-2183.

[46] L Xu, F Ding. Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling [J]. Circuits, Systems and Signal Processing, 2017, 36(4): 1735-1753.

[47] X Zhang, F Ding, FE Alsaadi, T Hayat. Recursive parameter identification of the dynamical models for bilinear state space systems [J]. Nonlinear Dynamics, 2017, 89(4): 2415-2429.

[48] XH Wang, F Ding. Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems [J]. Engineering Computations, 2017, 34(2): 629-647.

[49] FY Chen, F Ding, A Alsaedi, T Hayat. Data filtering based multi-innovation extended gradient method for controlled autoregressive autoregressive moving average systems using the maximum likelihood principle [J]. Mathematics and Computers in Simulation, 2017, 132: 53-67.

[50] L Xu, F Ding, Y Gu, A Alsaedi, T Hayat. A multi-innovation state and parameter estimation algorithm for a state space system with d-step state-delay [J]. Signal Processing, 2017, 140: 97-103.

[51] W Huang, F Ding, T Hayat, A Alsaedi. Coupled stochastic gradient identification algorithms for multivariate output-error systems [J]. International Journal of Control, Automation and Systems, 2017, 15(4): 1622-1631.

[52] L Xie, HZ Yang, F Ding. Identification of non-uniformly sampled-data systems with asynchronous input and output data [J]. Journal of the Franklin Institute, 2017, 354(4): 1974-1991.

[53] Chen Jin,Ma Junxia, Liu Yanjun, Ding Feng. Identification methods for time-delay systems based on the redundant rules [J]. Signal Processing, 2017, 137: 192-198.

[54] J Chen, YJ Liu, XH Wang. Recursive Least Squares Algorithm for Nonlinear Dual-rate Systems Using Missing-Output Estimation Model [J]. Circuits, Systems and Signal Processing, 2017, 36(4): 1406-1425.

[55] WL Xiong, YJ Li, YJ Zhao, B Huang. Adaptive Soft Sensor Based on Time Difference Gaussian Process Regression with Local Time-delay Reconstruction [J]. Chemical Engineering Research & Design, 2017, 117(2017): 670-680.

[56] XY Lou, M N S Swamy. A new approach to optimal control of conductance-based spiking neurons [J]. Neural Networks, 2017, 96: 128-136.

[57] JZ Zhang, BT Cui, B Zhuang. Improved control for distributed parameter systems with time-dependent spatial domains utilizing mobile sensor-actuator networks [J]. Chinese Physics B, 2017, 26(9):7-16.

[58] ZX Jiang, XY Lou, BT Cui, B Zhuang. Improved control of distributed parameter systems using wireless sensor and actuator networks: An observer-based method [J]. Chinese Physics B, 2017, 26(4): 59-65.

[59] JW Wen, L Peng. Switching predictive control for continuous-time Markovian jump delay systems [J]. International Journal of Control, Automation, and Systems, 2017, 15(3): 1040-1050.

[60] QB Zhu, YC Xing, RF Lu, M Huang, KW Ng Perry. Visible shortwave near infrared spectroscopy and hyperspectral scattering for determining bulk density and particle size of wheat flour [J]. Journal of Near Infrared Spectroscopy, 2017, 25(2): 116-126.

[61] S Yang, QB Zhu, M Huang, JW Qin. Hyperspectral Image-Based variety discrimination of maize seeds by using a multi-model strategy coupled with unsupervised joint skewness-based wavelength selection algorithm [J]. Food Analytical Methods, 2017, 10(2): 424-433.

[62] S Yang, QB Zhu, M Huang. Application of joint skewness algorithm to select optimal wavelengths of hyperspectral image for maize seed classification [J]. Spectroscopy and Spectral Analysis, 2017, 37(3): 990-996.

[63] Y Zheng, QB Zhu, M Huang, Y Guo, JW Qin. Maize and weed classification using color indices with support vector data description in outdoor fields [J]. Computers and Electronics in Agriculture, 2017, 141: 215-222.

[64] DS Guo, QB Zhu, M Huang, Y Guo, JW Qin. Model updating for the classification of different varieties of maize seeds from different years by hyperspectral imaging coupled with a pre-labeling method [J]. Computers and Electronics in Agriculture, 2017, 142: 1-8.

[65] J Yao, JY Guan, QB Zhu. Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning [J]. International Journal of Agricultural and Biological Engineering, 2017, 10(5): 144-153.

[66] W Wang, M Huang, QB Zhu. Predicting apple firmness and soluble solids content based on hyperspectral scattering imaging using Fourier series expansion [J]. Transaction of the ASABE, 2017, 60(4): 1048-1062.

[67] B Tan, M Huang, QB Zhu, Y Guo, JW Qin. Decomposition and correction overlapping peaks of LIBS using an error compensation method combined with curve fitting [J]. Applied Optics, 2017, 56(25): 7116-7122.

[68] W Wang, M Huang, QB Zhu. Predicting apple firmness and soluble solids content based on hyperspectral scattering imaging using Fourier series expansion [J]. Transaction of the ASABE, 2017, 60(4): 1048-1062.

[69] ZY Wang, QB Zhu, M Huang, B Yang. Optimization of economic/environmental operation management for microgrids by using hybrid fireworks algorithm [J]. International Transactions on Electrical Energy Systems, 2017, 27(12): e2429.

[70] BJ Gu, XL Yu, ZJ Xu, F Pan, DW Wang. A single-step palladium-catalysed synthesis of naphtho[2,3-b]benzofuran-6,11-diones and 2-(hydroxyphenyl) naphthalene-1,4-diones [J]. Journal of Chemical Research, 2017, 41(10): 564-568.

[71] GQ Xie, K Ota, MX Dong, F Pan. Energy-Efficient Routing for Mobile Data Collectors in Wireless Sensor Networks with Obstacles [J]. Peer-to-Peer Networking and Applications, 2017, 10(3): 472-483.

[72] Y Chen, CJ Hua, XX Guo. Face model fitting on video sequences based on incremental virtual active appearance model [J]. Multidimentional Systems and Signal Processing, 2017, 28: 1-21.


上一篇:2018年重点实验室发表的代表性论文
下一篇:2015年重点实验室发表的代表性论文