A nonlinear fuzzy neural network modeling approach using an improved genetic algorithm R Zhang, J Tao IEEE Transactions on Industrial Electronics 65 (7), 5882-5892, 2017 | 158 | 2017 |
Fuzzy optimal energy management for fuel cell and supercapacitor systems using neural network based driving pattern recognition R Zhang, J Tao, H Zhou IEEE Transactions on Fuzzy Systems 27 (1), 45-57, 2018 | 143 | 2018 |
A new design of model predictive tracking control for networked control system under random packet loss and uncertainties R Lu, Y Xu, R Zhang IEEE Transactions on Industrial Electronics 63 (11), 6999-7007, 2016 | 121 | 2016 |
Improved fuzzy PID controller design using predictive functional control structure Y Wang, Q Jin, R Zhang ISA transactions 71, 354-363, 2017 | 119 | 2017 |
New minmax linear quadratic fault-tolerant tracking control for batch processes R Zhang, R Lu, A Xue, F Gao IEEE Transactions on Automatic Control 61 (10), 3045-3051, 2015 | 95 | 2015 |
Support vector machine based predictive functional control design for output temperature of coking furnace R Zhang, S Wang Journal of Process Control 18 (5), 439-448, 2008 | 93 | 2008 |
Nonlinear monotonically convergent iterative learning control for batch processes J Lu, Z Cao, R Zhang, F Gao IEEE Transactions on Industrial Electronics 65 (7), 5826-5836, 2017 | 91 | 2017 |
An improved model predictive control approach based on extended non-minimal state space formulation R Zhang, A Xue, S Wang, Z Ren Journal of Process Control 21 (8), 1183-1192, 2011 | 83 | 2011 |
GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H2 Consumption and Load Variation R Zhang, J Tao IEEE Transactions on Fuzzy Systems 26 (4), 1833-1843, 2017 | 81 | 2017 |
Temperature control of industrial coke furnace using novel state space model predictive control R Zhang, A Xue, F Gao IEEE transactions on industrial informatics 10 (4), 2084-2092, 2014 | 79 | 2014 |
Data-driven modeling using improved multi-objective optimization based neural network for coke furnace system R Zhang, J Tao IEEE Transactions on Industrial Electronics 64 (4), 3147-3155, 2016 | 70 | 2016 |
Intelligent fault diagnosis for chemical processes using deep learning multimodel fusion N Wang, F Yang, R Zhang, F Gao IEEE transactions on cybernetics 52 (7), 7121-7135, 2020 | 60 | 2020 |
A new approach of Takagi–Sugeno fuzzy modeling using an improved genetic algorithm optimization for oxygen content in a coke furnace R Zhang, J Tao, F Gao Industrial & Engineering Chemistry Research 55 (22), 6465-6474, 2016 | 57 | 2016 |
Design of dynamic matrix control based PID for residual oil outlet temperature in a coke furnace S Wu, R Zhang, R Lu, F Gao Chemometrics and Intelligent Laboratory Systems 134, 110-117, 2014 | 57 | 2014 |
A systematic min–max optimization design of constrained model predictive tracking control for industrial processes against uncertainty R Zhang, S Wu, Z Cao, J Lu, F Gao IEEE Transactions on Control Systems Technology 26 (6), 2157-2164, 2017 | 56 | 2017 |
Decoupled ARX and RBF neural network modeling using PCA and GA optimization for nonlinear distributed parameter systems R Zhang, J Tao, R Lu, Q Jin IEEE transactions on neural networks and learning systems 29 (2), 457-469, 2016 | 56 | 2016 |
State space model predictive fault-tolerant control for batch processes with partial actuator failure R Zhang, J Lu, H Qu, F Gao Journal of Process Control 24 (5), 613-620, 2014 | 56 | 2014 |
Design of fractional order predictive functional control for fractional industrial processes Q Zou, Q Jin, R Zhang Chemometrics and Intelligent Laboratory Systems 152, 34-41, 2016 | 55 | 2016 |
Robust iterative learning fault-tolerant control for multiphase batch processes with uncertainties L Wang, L Sun, J Yu, R Zhang, F Gao Industrial & Engineering Chemistry Research 56 (36), 10099-10109, 2017 | 53 | 2017 |
Dynamic modeling and nonlinear predictive control based on partitioned model and nonlinear optimization R Zhang, A Xue, S Wang Industrial & engineering chemistry research 50 (13), 8110-8121, 2011 | 51 | 2011 |