Seguir
Linlin Li
Linlin Li
Dirección de correo verificada de uni-due.de
Título
Citado por
Citado por
Año
Weighted fuzzy observer-based fault detection approach for discrete-time nonlinear systems via piecewise-fuzzy Lyapunov functions
L Li, SX Ding, J Qiu, Y Yang, Y Zhang
IEEE Transactions on Fuzzy Systems 24 (6), 1320-1333, 2016
1352016
Data-driven realizations of kernel and image representations and their application to fault detection and control system design
SX Ding, Y Yang, Y Zhang, L Li
Automatica 50 (10), 2615-2623, 2014
1222014
Diagnostic observer design for t–s fuzzy systems: Application to real-time-weighted fault-detection approach
L Li, M Chadli, SX Ding, J Qiu, Y Yang
IEEE Transactions on Fuzzy Systems 26 (2), 805-816, 2017
1202017
Real-time fault detection approach for nonlinear systems and its asynchronous T–S fuzzy observer-based implementation
L Li, SX Ding, J Qiu, Y Yang
IEEE transactions on cybernetics 47 (2), 283-294, 2016
1192016
Performance-based fault detection and fault-tolerant control for automatic control systems
L Li, H Luo, SX Ding, Y Yang, K Peng
Automatica 99, 308-316, 2019
982019
On observer-based fault detection for nonlinear systems
Y Yang, SX Ding, L Li
Systems & Control Letters 82, 18-25, 2015
762015
Fuzzy observer-based fault detection design approach for nonlinear processes
L Li, SX Ding, J Qiu, Y Yang, D Xu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (8), 1941-1952, 2016
712016
An improved lightGBM algorithm for online fault detection of wind turbine gearboxes
M Tang, Q Zhao, SX Ding, H Wu, L Li, W Long, B Huang
Energies 13 (4), 807, 2020
432020
Parameterization of nonlinear observer-based fault detection systems
Y Yang, SX Ding, L Li
IEEE Transactions on Automatic Control 61 (11), 3687-3692, 2016
432016
Application of randomized algorithms to assessment and design of observer-based fault detection systems
SX Ding, L Li, M Krüger
Automatica 107, 175-182, 2019
402019
Data-driven design and optimization of feedback control systems for industrial applications
Y Zhang, Y Yang, SX Ding, L Li
IEEE Transactions on Industrial Electronics 61 (11), 6409-6417, 2014
342014
Robust fuzzy observer-based fault detection for nonlinear systems with disturbances
L Li, SX Ding, Y Yang, Y Zhang
Neurocomputing 174, 767-772, 2016
322016
Observer-based fault detection for uncertain nonlinear systems
H Han, Y Yang, L Li, SX Ding
Journal of the Franklin Institute 355 (3), 1278-1295, 2018
312018
Fault detection and fault-tolerant control for nonlinear systems
L Li
Springer Vieweg, 2016
312016
A fault detection approach for nonlinear systems based on data-driven realizations of fuzzy kernel representations
L Li, SX Ding, Y Yang, K Peng, J Qiu
IEEE Transactions on Fuzzy Systems 26 (4), 1800-1812, 2017
292017
Data‐driven design of two‐degree‐of‐freedom controllers using reinforcement learning techniques
Y Zhang, SX Ding, Y Yang, L Li
IET Control Theory & Applications 9 (7), 1011-1021, 2015
272015
An optimal fault detection approach for piecewise affine systems via diagnostic observers
L Li, SX Ding, J Qiu, K Peng, Y Yang
Automatica 85, 256-263, 2017
262017
Fault-tolerant control for systems with model uncertainty and multiplicative faults
Z Zhao, Y Yang, SX Ding, L Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (2), 514-524, 2017
242017
A deep belief network-based fault detection method for nonlinear processes
P Tang, K Peng, K Zhang, Z Chen, X Yang, L Li
IFAC-PapersOnLine 51 (24), 9-14, 2018
222018
A control-theoretic study on Runge–Kutta methods with application to real-time fault-tolerant control of nonlinear systems
Y Yang, L Li, SX Ding
IEEE Transactions on Industrial Electronics 62 (6), 3914-3922, 2015
222015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20