Solving time-varying quadratic programs based on finite-time Zhang neural networks and their application to robot tracking P Miao, Y Shen, Y Huang, YW Wang Neural Computing and Applications 26 (3), 693-703, 2015 | 119 | 2015 |
Finite-time stability and its application for solving time-varying Sylvester equation by recurrent neural network Y Shen, P Miao, Y Huang, Y Shen Neural Processing Letters 42, 763-784, 2015 | 100 | 2015 |
Finite time dual neural networks with a tunable activation function for solving quadratic programming problems and its application P Miao, Y Shen, X Xia Neurocomputing 143, 80-89, 2014 | 57 | 2014 |
Finite-time recurrent neural networks for solving nonlinear optimization problems and their application P Miao, Y Shen, Y Li, L Bao Neurocomputing 177, 120-129, 2016 | 56 | 2016 |
Global finite-time synchronization of different dimensional chaotic systems D Zhang, J Mei, P Miao Applied Mathematical Modelling 48, 303-315, 2017 | 48 | 2017 |
Finite-time function projective synchronization in complex multi-links networks and application to Chua’s circuit X Wang, P Miao International Journal of Control, Automation and Systems 18 (8), 1993-2001, 2020 | 13 | 2020 |
Discrete-time neural network with two classes of bias noises for solving time-variant matrix inversion and application to robot tracking P Miao, D Wu, Y Shen, Z Zhang Neural Computing and Applications 31 (9), 4879-4890, 2019 | 11 | 2019 |
Bounds for the Neuman–Sándor mean in terms of the arithmetic and contra-harmonic means WH Li, P Miao, BN Guo Axioms 11 (5), 236, 2022 | 6 | 2022 |
Recurrent neural network for solving the short-term hydrothermal scheduling problem L Bao, Y Shen, P Miao, W Li 2015 IEEE International Conference on Information and Automation, 2388-2393, 2015 | 5 | 2015 |
Two new finite-time convergence criterions and application to solve time varying Sylvester equation and pseudo-inverse of a matrix P Miao, L Fan, D Zhang International Journal of Control, Automation and Systems 19 (4), 1570-1577, 2021 | 4 | 2021 |
Energy efficiency optimization of belt conveyors with bias noise based on beetle antennae search algorithm P Miao, L Fan 2020 39th Chinese Control Conference (CCC), 1569-1574, 2020 | 3 | 2020 |
A continuous finite-time neural network with bias noises for convex quadratic bilevel programming problem P Miao, F Yang International Journal of Control, Automation and Systems 20 (9), 3045-3052, 2022 | 2 | 2022 |
砌体结构在屋面拉线塔拉拔作用下的试验研究 郑隆欣, 范留军, 苗鹏 新型建筑材料 44 (6), 58-62, 2017 | 2 | 2017 |
A new FXTZNN model for solving TVCS equation and application to pseudo-inverse of a matrix P Miao, Y Zheng, S Li Applied Mathematics and Computation 465, 128409, 2024 | 1 | 2024 |
Energy efficiency optimization of belt conveyors based on finite-time recurrent neural networks Y Shen, Y Yu, P Miao, H Yu, S Qu 2017 11th Asian Control Conference (ASCC), 1548-1553, 2017 | 1 | 2017 |
Continuous but non-smooth adaptive observer of a class of nonlinear systems Y Shen, Q Jiang, P Miao The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014 …, 2014 | 1 | 2014 |
A recurrent neural network with a tunable activation function for solving k-winners-take-all P Miao, Y Shen, J Hou, Y Shen Proceedings of the 33rd Chinese Control Conference, 4957-4962, 2014 | 1 | 2014 |
A novel fixed‐time ZNN model and application to robot trajectory tracking L Wang, P Miao Electronics Letters 60 (12), e13253, 2024 | | 2024 |
Robot Trajectory Tracking Based on a Finite Time Recurrent Neural Network and Its Anti-Noise Analysis L Wang, P Miao, R Wang 2023 42nd Chinese Control Conference (CCC), 326-331, 2023 | | 2023 |
Convex quadratic bilevel programming problem based on the redesigned BAS algorithm and application to supply chain D Wu, P Miao 2023 35th Chinese Control and Decision Conference (CCDC), 1176-1181, 2023 | | 2023 |