Urban expansion simulation using geospatial information system and artificial neural networks BC Pijanowski, A TAYEBI, MR Delavar, MJ Yazdanpanah INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER) 3 (4), 493-502, 2009 | 127 | 2009 |
Adaptive state observer for Lipschitz nonlinear systems M Ekramian, F Sheikholeslam, S Hosseinnia, MJ Yazdanpanah Systems & Control Letters 62 (4), 319-323, 2013 | 92 | 2013 |
Robust adaptive synchronization of different uncertain chaotic systems subject to input nonlinearity H Kebriaei, MJ Yazdanpanah Communications in Nonlinear Science and Numerical Simulation 15 (2), 430-441, 2010 | 90 | 2010 |
ANN model for prediction of the effects of composition and process parameters on tensile strength and percent elongation of Si–Mn TRIP steels SMK Hosseini, A Zarei-Hanzaki, MJY Panah, S Yue Materials Science and Engineering: A 374 (1-2), 122-128, 2004 | 83 | 2004 |
A finite-time tracker for nonholonomic systems using recursive singularity-free FTSM S Mobayen, MJ Yazdanpanah, VJ Majd Proceedings of the 2011 American Control Conference, 1720-1725, 2011 | 81 | 2011 |
Identification and control of a nuclear reactor core (VVER) using recurrent neural networks and fuzzy systems M Boroushaki, MB Ghofrani, C Lucas, MJ Yazdanpanah IEEE Transactions on Nuclear Science 50 (1), 159-174, 2003 | 79 | 2003 |
Applying brain emotional learning algorithm for multivariable control of HVAC systems N Sheikholeslami, D Shahmirzadi, E Semsar, C Lucas, MJ Yazdanpanah Journal of Intelligent & Fuzzy Systems 17 (1), 35-46, 2006 | 78 | 2006 |
Performance enhanced model reference adaptive control through switching non-quadratic Lyapunov functions M Hosseinzadeh, MJ Yazdanpanah Systems & Control Letters 76, 47-55, 2015 | 76 | 2015 |
A spatial logistic regression model for simulating land use patterns: a case study of the Shiraz Metropolitan area of Iran A Tayyebi, MR Delavar, MJ Yazdanpanah, BC Pijanowski, S Saeedi, ... Advances in earth observation of global change, 27-42, 2010 | 67 | 2010 |
Wave hindcasting by coupling numerical model and artificial neural networks I Malekmohamadi, R Ghiassi, MJ Yazdanpanah Ocean Engineering 35 (3-4), 417-425, 2008 | 67 | 2008 |
Integration of non-linear H∞∞ and sliding mode control techniques for motion control of a permanent magnet synchronous motor AR Ghafari-Kashani, J Faiz, MJ Yazdanpanah IET Electric Power Applications 4 (4), 267-280, 2010 | 65 | 2010 |
Nonlinear control and disturbance decoupling of HVAC systems using feedback linearization and backstepping with load estimation E Semsar-Kazerooni, MJ Yazdanpanah, C Lucas IEEE Transactions on Control Systems Technology 16 (5), 918-929, 2008 | 65 | 2008 |
Distributed optimal microgrid energy management with considering stochastic load A Silani, MJ Yazdanpanah IEEE Transactions on Sustainable Energy 10 (2), 729-737, 2018 | 64 | 2018 |
Robust hopping based on virtual pendulum posture control MA Sharbafi, C Maufroy, MN Ahmadabadi, MJ Yazdanpanah, A Seyfarth Bioinspiration & biomimetics 8 (3), 036002, 2013 | 58 | 2013 |
Reconfigurable control system design using eigenstructure assignment: static, dynamic and robust approaches A Esna Ashari*, A Khaki Sedigh, MJ Yazdanpanah International Journal of Control 78 (13), 1005-1016, 2005 | 58 | 2005 |
An intelligent nuclear reactor core controller for load following operations, using recurrent neural networks and fuzzy systems M Boroushaki, MB Ghofrani, C Lucas, MJ Yazdanpanah Annals of Nuclear Energy 30 (1), 63-80, 2003 | 58 | 2003 |
Delay compensation of tilt sensors based on MEMS accelerometer using data fusion technique M Ghanbari, MJ Yazdanpanah IEEE sensors journal 15 (3), 1959-1966, 2014 | 55 | 2014 |
Dynamic tracking control of nonholonomic mobile robot with model reference adaptation for uncertain parameters A Gholipour, MJ Yazdanpanah 2003 European Control Conference (ECC), 3118-3122, 2003 | 55 | 2003 |
Uncertainty compensation for a flexible-link manipulator using nonlinear H control MJ Yazdanpanah, K Khorasani, RV Patel International Journal of Control 69 (6), 753-771, 1998 | 55 | 1998 |
Using PCA and LVQ neural network for automatic recognition of five types of white blood cells PR Tabrizi, SH Rezatofighi, MJ Yazdanpanah 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 53 | 2010 |