| On robust control of uncertain chaotic systems: a sliding-mode synthesis via chaotic optimization Z Lu, LS Shieh, GR Chen Chaos, Solitons & Fractals 18 (4), 819-827, 2003 | 70 | 2003 |
| Simplex sliding mode control for nonlinear uncertain systems via chaos optimization Z Lu, LS Shieh, G Chen, NP Coleman Chaos, Solitons & Fractals 23 (3), 747-755, 2005 | 55 | 2005 |
| Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification Z Lu, J Sun Applied Soft Computing 9 (1), 94-99, 2009 | 54 | 2009 |
| Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification Z Lu, J Sun, KR Butts Mathematics and Computers in Simulation 79 (7), 2051-2063, 2009 | 49 | 2009 |
| Adaptive feedback linearization control of chaotic systems via recurrent high-order neural networks Z Lu, LS Shieh, G Chen, NP Coleman Information Sciences 176 (16), 2337-2354, 2006 | 48 | 2006 |
| Linear Programming SVM-ARMA2K With Application in Engine System Identification Z Lu, J SUN, K BUTTS IEEE transactions on automation science and engineering 8 (4), 846-854, 2011 | 22 | 2011 |
| Linear programming support vector regression with wavelet kernel Z Lu, J Sun, KR Butts US Patent 7,899,652, 2011 | 18 | 2011 |
| Multiple sliding surface control for systems in nonlinear block controllable form Z Lu, F Lin, H Ying Cybernetics and Systems 36 (5), 513-526, 2005 | 16 | 2005 |
| Multiscale Asymmetric Orthogonal Wavelet Kernel for Linear Programming Support Vector Learning and Nonlinear Dynamic Systems Identification Z Lu, J Sun, K Butts IEEE Transactions on Cybernetics 44 (5), 712-724, 2014 | 14 | 2014 |
| Multiscale support vector learning with projection operator wavelet kernel for nonlinear dynamical system identification KB Zhao Lu, Jing Sun IEEE Transactions on Nerual Networks and Learning Systems 28 (1), 231-243, 2017 | 12* | 2017 |
| Tracking control of nonlinear systems: A sliding mode design via chaotic optimization LU ZHAO, LS Shieh, J Chandra International Journal of Bifurcation and Chaos 14 (04), 1343-1355, 2004 | 11 | 2004 |
| Design of decision tree via kernelized hierarchical clustering for multiclass support vector machines Z Lu, F Lin, H Ying Cybernetics and Systems: An International Journal 38 (2), 187-202, 2007 | 9 | 2007 |
| Asymmetric wavelet kernel in support vector learning Z Lu, J Sun, KR Butts US Patent 8,738,271, 2014 | 8 | 2014 |
| Application of linear programming SVM-ARMA2K for dynamic engine modeling Z Lu, J Sun, K Butts Proceedings of the 2010 American Control Conference, 1465-1470, 2010 | 7 | 2010 |
| An Adaptive Fuzzy Classifier Approach to Edge Detection in Latent Fingerprint Images JFR Rochac, L Liang, B Yu, Z Lu Proceedings of the 2010 22nd IEEE International Conference on Tools with …, 2010 | 6 | 2010 |
| Soft-constrained linear programming support vector regression for nonlinear black-box systems identification Z Lu, J Sun Artificial Intelligence for Advanced Problem Solving Techniques, 137-147, 2008 | 6 | 2008 |
| Neural Network Varying Structure Control For Nondeterministic System C Zengqiang, LU Zhao, Y Zhuzhi Journal of Nankai University 4, 2001 | 6* | 2001 |
| Parametrization and adaptation of gasoline engine air system model via linear programming support vector regression J Faust, J Sun, K Butts, Z Lu, S Tanaka 2012 American Control Conference (ACC), 1290-1295, 2012 | 5 | 2012 |
| A New Topology for Artificial Higher Order Neural Networks: Polynomial Kernel Networks Z Lu, LS Shieh, GR Chen Artificial Higher Order Neural Networks for Economics and Business, 430-441, 2008 | 5 | 2008 |
| Dynamic engine modeling through linear programming Support Vector Regression Z Lu, J Sun, D Lee, K Butts American Control Conference, 2009. ACC'09., 2070-2075, 2009 | 4 | 2009 |
Jing SunMichael G. Parsons Collegiate Professor of Engineering, University of MichiganVerified email at umich.edu
