Ying Tan

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Denny OetomoProfessor, Department of Mechanical Engineering, University of MelbourneVerified email at unimelb.edu.au
Iven MareelsFederation University AustraliaVerified email at federation.edu.au
Dragan NesicProfessor, Department of Electrical and Electronic Engineering, University of MelbourneVerified email at unimelb.edu.au
Chris ManzieProfessor in Electrical and Electronic Engineering, University of MelbourneVerified email at unimelb.edu.au
Alireza MohammadiSenior Research Officer, The University of MelbourneVerified email at unimelb.edu.au
Vincent CrocherThe University of MelbourneVerified email at unimelb.edu.au
Peter F ChoongUniversity of Melbourne, Department of Surgery & Department of Orthopaedics, St. Vincent's HospitalVerified email at unimelb.edu.au
Justin FongThe University of MelbourneVerified email at unimelb.edu.au
Professor Chris FreemanUniversity of SouthamptonVerified email at ecs.soton.ac.uk
Gijo SebastianBAE SystemsVerified email at baesystems.com
Shou-Han ZhouCardiff UniversityVerified email at cardiff.ac.uk
Ricardo Garcia-RosasThe University of Melbourne, Virtetic Pty LtdVerified email at unimelb.edu.au
Darwin LauDepartment of Mechanical and Automation Engineering, The Chinese University of Hong KongVerified email at cuhk.edu.hk
Qingyuan TanPh.D. , University of WindsorVerified email at uwindsor.ca
Deqing HuangImperial College LondonVerified email at imperial.ac.uk
Marlena KlaicSenior Implementation Science Research Fellow, University of MelbourneVerified email at unimelb.edu.au
Etienne BurdetImperial College LondonVerified email at ic.ac.uk
Ming ZhengProfessor, University of WindsorVerified email at uwindsor.ca
Prasad DivekarUniversity of WindsorVerified email at uwindsor.ca
Pietro ValdastriProfessor of Robotics and Autonomous Systems, University of LeedsVerified email at leeds.ac.uk

Ying Tan

Professor, University of Melbourne

Verified email at unimelb.edu.au

Control Engineering


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Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics Y Wang, S Zhang, F Li, Y Zhou, Y Zhang, Z Wang, R Zhang, J Zhu, Y Ren, ... Nucleic acids research 48 (D1), D1031-D1041, 2020	863	2020
On non-local stability properties of extremum seeking control Y Tan, D Nešić, I Mareels Automatica 42 (6), 889-903, 2006	691	2006
Linear and nonlinear iterative learning control JX Xu, Y Tan Springer, 2003	685	2003
Extremum seeking from 1922 to 2010 Y Tan, WH Moase, C Manzie, D Nešić, IMY Mareels Proceedings of the 29th Chinese control conference, 14-26, 2010	574	2010
A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties JX Xu, Y Tan IEEE Transactions on Automatic Control 47 (11), 1940-1945, 2002	280	2002
On global extremum seeking in the presence of local extrema Y Tan, D Nešić, IMY Mareels, A Astolfi Automatica 45 (1), 245-251, 2009	262	2009
NPASS: natural product activity and species source database for natural product research, discovery and tool development X Zeng, P Zhang, W He, C Qin, S Chen, L Tao, Y Wang, Y Tan, D Gao, ... Nucleic acids research 46 (D1), D1217-D1222, 2018	235	2018
Iterative learning control with mixed constraints for point-to-point tracking CT Freeman, Y Tan IEEE Transactions on Control Systems Technology 21 (3), 604-616, 2012	194	2012
On the choice of dither in extremum seeking systems: A case study Y Tan, D Nešić, I Mareels Automatica 44 (5), 1446-1450, 2008	191	2008
A unifying approach to extremum seeking: Adaptive schemes based on estimation of derivatives D Nesić, Y Tan, WH Moase, C Manzie 49th IEEE conference on decision and control (CDC), 4625-4630, 2010	189	2010
Iterative learning control design based on composite energy function with input saturation JX Xu, Y Tan, TH Lee Automatica 40 (8), 1371-1377, 2004	187	2004
Robust optimal design and convergence properties analysis of iterative learning control approaches JX Xu, Y Tan Automatica 38 (11), 1867-1880, 2002	154	2002
A practical 3D-printed soft robotic prosthetic hand with multi-articulating capabilities A Mohammadi, J Lavranos, H Zhou, R Mutlu, G Alici, Y Tan, P Choong, ... PloS one 15 (5), e0232766, 2020	142	2020
Unified frameworks for sampled-data extremum seeking control: Global optimisation and multi-unit systems SZ Khong, D Nešić, Y Tan, C Manzie Automatica 49 (9), 2720-2733, 2013	124	2013
Optimal iterative learning control design for multi-agent systems consensus tracking S Yang, JX Xu, D Huang, Y Tan Systems & Control Letters 69, 80-89, 2014	122	2014
Distributed deception attack detection in platoon-based connected vehicle systems Z Ju, H Zhang, Y Tan IEEE transactions on vehicular technology 69 (5), 4609-4620, 2020	118	2020
NEAT1 regulates neuroglial cell mediating Aβ clearance via the epigenetic regulation of endocytosis-related genes expression Z Wang, Y Zhao, N Xu, S Zhang, S Wang, Y Mao, Y Zhu, B Li, Y Jiang, ... Cellular and Molecular Life Sciences 76, 3005-3018, 2019	112	2019
Host cell transcriptome profile during wild-type and attenuated dengue virus infection OM Sessions, Y Tan, KC Goh, Y Liu, P Tan, S Rozen, EE Ooi PLoS neglected tropical diseases 7 (3), e2107, 2013	97	2013
Improved prediction of aqueous solubility of novel compounds by going deeper with deep learning Q Cui, S Lu, B Ni, X Zeng, Y Tan, YD Chen, H Zhao Frontiers in oncology 10, 121, 2020	96	2020
On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors J Xu, Y Tan Automatica 38 (7), 1237-1242, 2002	92	2002

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