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Ridong Zhang
Ridong Zhang
Hangzhou Dianzi University
Verified email at ust.hk
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Cited by
Year
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
1462017
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
1312018
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
1192016
Improved fuzzy PID controller design using predictive functional control structure
Y Wang, Q Jin, R Zhang
ISA transactions 71, 354-363, 2017
1112017
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
922015
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
922008
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
832017
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
802011
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
742017
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
742014
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
692016
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
562016
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
562014
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
542017
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
532016
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
522016
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
522014
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
512011
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
502017
Real-time implementation of improved state-space MPC for air supply in a coke furnace
R Zhang, A Xue, R Lu, P Li, F Gao
IEEE Transactions on Industrial Electronics 61 (7), 3532-3539, 2013
482013
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