Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones
By Shaocheng Tong, Lili Zhang, Yong-ming Li. IEEE Transactions on Systems, Man & Cybernetics. Systems, 2016
500 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/fffe122c215fa498deeeb41cd9b00cb425426160
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In Computer Networks and Communications
- Shaocheng Tong
- Yanjun Liu
- Hongyi Li
- Shuzhi Sam Ge
- Haiping Du
- Mien Van
- Michalis Mavrovouniotis
- Qi Zhou
In Control and Systems Engineering
Citations in the corpus
- Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems (2019, methodology): “The function uncertainties are often managed by neural networks (NNs) [47]–[55], FLSs [56]–[60], or generalized fuzzy hyperbolic models [61], [62], and the robust methods are usually employed to cope with the structure uncertainties.”
- Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, background): “INTRODUCTION IT IS well known that fuzzy logic control and neural control approaches can model and control nonlinear systems successfully [1], [10].”
- Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone (2019, background): “In [10], the problem of the adaptive fuzzy decentralized output-feedback control was investigated for a category of switched nonlinear strict-feedback large-scale systems.”
- An Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Robust Fault Tolerant Control of Robot Manipulators (2019, methodology): “For example, in [61-68], FTCs have been established using intelligent learning techniques such as neural network or fuzzy logic.”