[1] XL Luan, B Huang, F Liu. Higher order moment stability region for Markov jump systems based on cumulant generating function [J]. Automatica, 2018, 93: 389-396.
[2] K Wang, MZQ Chen, C Li, G Chen. Passive controller realization of a biquadratic impedance with double poles and zeros as a seven-element series-parallel network for effective mechanical control [J]. IEEE Transactions on Automatic Control, 2018, 63(9): 3010-3015.
[3] XY Lou, Y Li, RG Sanfelice. Robust stability of hybrid limit cycles with multiple jumps in hybrid dynamical systems [J]. IEEE Transactions on Automatic Control, 2018, 63(4): 1220-1226.
[4] SY Zhao, YJ Ma, B Huang. Probabilistic monitoring of sensors in state-space with variational Bayesian inference [J]. IEEE Transactions on Industrial Electronics, 2018, 66(3): 2154-2163.
[5] SY Zhao, YS Shmaliy, CK Ahn, F Liu. Adaptive-Horizon Iterative UFIR Filtering Algorithm With Applications [J]. IEEE Transactions on Industrial Electronics, 2018, 65(8): 6393-6402.
[6] SY Zhao, B Huang, F Liu. Localization of indoor mobile robot using minimum variance unbiased FIR filter [J]. IEEE Transactions on Automation Science and Engineering, 2018, 15(2): 410-419.
[7] YS Shmaliy, F Lehmann, SY Zhao, CK Ahn. Comparing robustness of the Kalman, H_infinity, and UFIR filters [J]. IEEE Transactions on Signal Processing, 2018, 66(13): 3447-3458.
[8] CK Ahn, SY Zhao, YS Shmaliy, R Sakthivel. A revisit to strictly passive FIR filtering [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, 65(4): 516-520.
[9] CL Liu, L Shan, YY Chen, Y Zhang. Average-consensus filter of first-order multi-agent systems with disturbances [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, 65(11): 1763-1767.
[10] CK Ahn, YS Shmaliy, SY Zhao. Hankel-norm approach to robust FIR estimation of dynamic systems under external disturbances [J]. IEEE/ASME Transactions on Mechatronics, 2018, 23(4): 1973-1980.
[11] SH Hu, GH Li. Fault-tolerant clustering topology evolution mechanism of wireless sensor networks [J]. IEEE Access, 2018, 6: 28085-28096.
[12] QH Li, F Pan, ZG Zhao, JZ Yu. Process modeling and monitoring with incomplete data based on robust probabilistic partial least square method [J]. IEEE Access, 2018, 6: 10160-10168.
[13] H Tang, YC Qiu, Y Guo, J Liu. Comparison of Periodic Behavior of Consumer Online Searches for Restaurants in the US and China Based on Search Engine Data [J]. IEEE Access, 2018, 6: 34109-34117.
[14] XF Liu, XL Luan, F Liu. Optimizing manipulated trajectory based on principal time-segmented variables for batch processes [J]. Chemometrics and Intelligent Laboratory Systems, 2018, 181: 45-51.
[15] XD Shi, WL Xiong. Approximate linear dependence criteria with active learning for smart soft sensor design [J]. Chemometrics and Intelligent Laboratory Systems, 2018, 180: 88-95.
[16] F Ding, L Xu, FE Alsaadi, T Hayat. Iterative parameter identification for pseudo-linear systems with ARMA noise using the filtering technique [J]. IET Control Theory and Applications, 2018, 12(7): 892-899.
[17] X Zhang, F Ding, L Xu, EF Yang. State filtering-based least squares parameter estimation for bilinear systems using the hierarchical identification principle [J]. IET Control Theory and Applications, 2018, 12(12): 1704-1713.
[18] ZH Zhou, XL Luan, F Liu. Finite-frequency fault detection based on derandomisation for Markov jump linear system [J]. IET Control Theory and Applications, 2018, 12(8): 1148-1155.
[19] J Chen, BT Cui, YQ Chen. Observer-based output feedback control for a boundary controlled fractional reaction diffusion system with spatially-varying diffusivity [J]. IET Control Theory and Applications, 2018, 12(11): 1561-1572.
[20] SP Feng, LJ Fu, Q Xia, JL Tan, YN Jiang, Y Guo. Modelling and simulation of photosystem II chlorophyll fluorescence transition from dark-adapted state to light-adapted state [J]. IET Systems Biology, 2018. DOI: 10.1049/iet-syb.2018.5003.
[21] X Qian, JL Tan, XS Ji, YN Jiang, Y Guo. Modelling and simulation of chlorophyll fluorescence from photosystem II as affected by temperature [J]. IET Systems Biology, 2018. DOI: 10.1049/iet-syb.2018.5030.
[22] S Wang, H Tang, Q Xia, YN Jiang, JL Tan, Y Guo. Modeling and simulation of photosynthetic activities in C3 plants as affected by CO2 [J]. IET Systems Biology, 2018. 10.1049/iet-syb.2018.5064.
[23] HF Tao, W Paszke, E Rogers, K Galkowski, HZ Yang. Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints [J]. Systems & Control Letters, 2018, 118: 35-43.
[24] XL Luan, Q Chen, A Pedro, F Liu. Conversion of SISO processes with multiple time-delays to single time-delay processes [J]. Journal of Process Control, 2018, 65: 84-90.
[25] ZG Zhao, YQ Wang, F Liu. A multi-way LPV modeling method for batch processes [J]. Journal of Process Control, 2018, 65: 56-67.
[26] TF Guo, M Huang, QB Zhu, Y Guo, JW Qin. Hyperspectral image-based multi-feature integration for TVB-N measurement in pork [J]. Journal of Food Engineering, 2018, 218(2): 61-68.
[27] QY Liu, F Ding, A Alsaedi, T Hayat. Recursive identification methods for multivariate output-error moving average systems using the auxiliary model [J]. International Journal of Control Automation and Systems, 2018, 16(3): 1070-1079.
[28] BB Shen, F Ding, L Xu, T Hayat. Data filtering based multi-innovation gradient identification methods for feedback nonlinear systems [J]. International Journal of Control Automation and Systems, 2018, 16(5): 2225-2234.
[29] C Xu, SY Zhao, B Huang, F Liu. Distributed Student's t filtering algorithm for heavy-tailed noises [J]. International Journal of Adaptive Control and Signal Processing, 2018, 32(6): 875-890.
[30] P Ma, F Ding, QM Zhu. Decomposition-based recursive least squares identification methods for multivariate pseudolinear systems using the multi-innovation [J]. International Journal of Systems Science, 2018, 49(5): 920-928.
[31] X Fang, F Liu, ZG Wang, N Dong. Novel disturbance-observer-based control for systems with high-order mismatched disturbances [J]. International Journal of Systems Science, 2018, 49(2): 371-382.
[32] HY Zhang, QB Zhu, M Huang, Y Guo. Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy [J]. International Journal of Agricultural and Biological Engineering, 2018, 11(3): 154-158.
[33] NY Zhu, X Liu, ZQ Liu, K Hu, YK Wang, JL Tan, M Huang, QB Zhu, XS Ji, YN Jiang, Y Guo. Deep learning for smart agriculture: Concepts, tools, applications, and opportunities [J]. International Journal of Agricultural and Biological Engineering, 2018, 11(4): 32-44.
[34] JX Ma, O Wu, B Huang, F Ding. Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother [J]. Signal Processing, 2018, 145: 295-303.
[35] Y Gao, ZG Zhao, F Liu. DMFA-based operation model for fermentation processes [J]. Computers & Chemical Engineering, 2018, 109: 138-150.
[36] QY Liu, F Ding. The data filtering based generalized stochastic gradient parameter estimation algorithms for multivariate output-error autoregressive systems using the auxiliary model [J]. Multidimensional Systems and Signal Processing, 2018, 29(4): 1781-1800.
[37] QY Liu, F Ding, Y Wang, C Wang, T Hayat. Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique [J]. Journal of the Franklin Institute, 2018, 355(15): 7643-7663.
[38] JX Ma, J Chen, WL Xiong, F Ding. Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data [J]. Digital Signal Processing, 2018, 73: 135-144.
[39] P Ma, F Ding, A Alsaedi, T Hayat. Recursive least squares identification methods for multivariate pseudo-linear systems using the data filtering [J]. Multidimensional Systems and Signal Processing, 2018, 29(3): 1135-1152.
[40] P Ma, F Ding, A Alsaedi, T Hayat. Decomposition-based gradient estimation algorithms for multivariate equation-error autoregressive systems using the multi-innovation theory [J]. Circuits Systems and Signal Processing, 2018, 37(5): 1846-1862.
[41] YJ Wang, F Ding, L Xu. Some new results of designing an IIR filter with colored noise for signal processing [J]. Digital Signal Processing, 2018, 72: 44-58.
[42] YJ Wang, F Ding, MH Wu. Recursive parameter estimation algorithm for multivariate output-error systems [J]. Journal of the Franklin Institute, 2018, 355(12): 5163-5181.
[43] X Zhang, L Xu, F Ding, T Hayat. Combined state and parameter estimation for a bilinear state space system with moving average noise [J]. Journal of the Franklin Institute, 2018, 355(6): 3079-3103.
[44] SY Zhao, YJ Ma, F Liu. Fast Kalman-like optimal FIR filter for time-variant systems with improved robustness [J]. ISA transactions, 2018, 80: 160-168.
[45] XL Luan, B Huang, S Sedghi, F Liu. Probabilistic PCR based near-infrared modeling with temperature compensation [J]. ISA Transactions, 2018, 81: 46-51.
[46] Y Min, XL Luan, ZT Ding, F Liu. Given-time consensus for stochastic Markov jump networks by dynamic output feedback [J]. Transactions of the Institute of Measurement and Control, 2018, 40(10): 3160-3168.
[47] XL Luan, P Shi, F Liu. Given-time multiple frequency control for Markov jump systems based on derandomization [J]. Information Sciences, 2018, 451-452: 134-142.
[48] XL Luan, MJ Jin, F Liu. Fault detection based on near-infrared spectra for the oil desalting process [J]. Applied Spectroscopy, 2018, 72(8): 1199-1204.
[49] 刘进, 栾小丽, 刘飞. Lasso算法的油砂钠元素近红外建模[J]. 光谱学与光谱分析, 2018, 38(7): 2274-2278.
[50] 郑年年, 栾小丽, 刘飞. 近红外光谱Elastic Net建模方法与应用[J]. 光谱学与光谱分析, 2018, 38(10): 3096-3100.
[51] CL Liu, F Liu. Consensus seeking of delayed high-order multi-agent systems with predictor-based algorithm [J]. Kybernetika, 2018, 54(2): 304-320.
[52] X Fang, F Liu, ZT Ding. Robust control of unmanned helicopters with high-order mismatched disturbances via disturbance-compensation-gain construction approach [J]. Journal of the Franklin Institute, 2018, 355(15): 7158-7177.
[53] X Fang, F Liu. A finite-time disturbance observer based full-order terminal sliding-mode controller for manned submersible with disturbances [J]. Mathematical Problems in Engineering, 2018, Article ID: 1307308.
[54] GX Li, X Fang. A fast imaging method of scanning ion conductance microscopy [J]. Micron, 2018, 114: 8-13.
[55] GX Li, J Yang, YC Wang, LQ Liu. Development of a novel optogenetic indicator based on cellular deformations for mapping optogenetic activities [J]. Nanoscale, 2018 (封面故事).
[56] GX Li, J Yang, WG Yang, FF Wang, YC Wang, WX Wang, LQ Liu. Label-free multidimensional information acquisition from optogenetically engineered cells using a graphene transistor [J]. Nanoscale, 2018, 10: 2285-2290.
[57] GX Li, YC Wang, WX Wang, LQ Liu. Development of a targeted stimulus and synchronized detection system for investigation of graphene photodetectors at the nano-scale [J]. Journal of the Optical Society of America B, 35(10): 2612-2615.
[58] ZY Wang, CX Tian, QB Zhu, M Huang. Hourly solar radiation forecasting using a Volterra-Least squares support vector machine model combined with signal decomposition [J]. Energies, 2018,11, 1.
[59] W Wang, M Huang, QB Zhu, JW Qin. Optical property inversion of biological materials using Fourier series expansion and LS-SVM for hyperspectral imaging [J]. Inverse Problems in Science and Engineering, 2018, 28(7): 1019-1036.
[60] H Li, QB Zhu, M Huang, Y Guo, JW Qin. Pose estimation of sweet pepper through symmetry axis detection [J]. Sensors, 2018, 18(9): 3083_1-3083_14.
[61] HH Ji, H Zhang, BT Cui. Hinfty control for time-delay systems with randomly occurring nonlinearities subject to sensor saturations, missing measurements and channel fadings [J]. ISA Transactions, 2018, 75: 38-51.
[62] JH Zheng, BT Cui. State estimation of chaotic lurie systems via communication channel with transmission delay [J]. Circuits Systems &Signal Processing, 2018, 7: 1-16.
[63] HH Ji, H Zhang, BT Cui. Event-triggered Hinfty filtering control for a class of distributed parameter systems with Markovian switching topology [J]. Journal of the Franklin Institute, 2018, 355(13): 5928-5956.
[64] JH Zheng，BT Cui. State estimation of chaotic Lurie system with logarithmic quantization [J]. Chaos, Solitons and Fractals, 2018, 112:141-148.
[65] GY Le, HZ Yang. Improved UV/O3 method for measuring the chemical oxygen demand [J]. Water Science & Technology. 2018, 77(5): 1271-1279.
[66] HF Tao, Y Liu, HZ Yang. Output information based fault-tolerant iterative learning control for dual-rate sampling process with disturbances and output delay [J]. Mathematical Problems in Engineering, 2018, Article ID 7072032.
[67] SS Wang, Y Chen. A joint loss function for deep face recognition [J]. Multidimentional Systems and Signal Processing, 2018, https://doi.org/10.1007/ s11045-018-0614-0.
[68] WL Xiong, XD Shi. Soft sensor modeling with a selective updating strategy for Gaussian process regression based on probabilistic principle component analysis [J]. Journal of the Franklin Institute, 2018, 355: 5336-5349.
[69] YH Tian, XL Luan, F Liu, et al. Model predictive control of mineral column flotation process [J]. Mathematics, 2018, 6(6): 100.
[70] YY Zhang, CC Lim, F Liu. Robust mixed H2/H∞ model predictive control for Markov jump systems with partially uncertain transition probabilities [J]. Journal of the Franklin Institute, 2018, 355(8): 3423-3437.
[71] L Liu, GH Li. Acoustic tomography based on hybrid wave propagation model for tree decay detection [J]. Computers and Electronics in Agriculture, 2018, 151(6): 276-285.
[72] Z Huan, Z Jiao, GH Li, X Wu. Tomographic imaging of wood based on stress wave velocity error correction [J]. BioResources, 2018, 13(2): 2530-2545.
[73] X Wu, GH Li, Z Jiao, XP Wang. Reliability of acoustic tomography and ground-penetrating radar for tree decay detection [J]. Applications in plant sciences, 2018, 6(10): e1187.
[74] M Zhang, GH Li. Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging [J]. International Journal of Food Properties, 2018, 21(1): 1598-1607.
[75] P Shi, GH Li, YM Yuan, L Kuang. Data fusion using improved support degree function in aquaculture wireless sensor networks [J]. Sensors, 2018, 18, 3851; doi:10.3390/s18113851.
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