Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems

By Shaocheng Tong, Yong-ming Li, Shuai Sui. IEEE transactions on fuzzy systems, 2016

434 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/df9ba75e1906a2f97ab897d1b2f51c2aa020d682

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Shaocheng Tong
2. Yanjun Liu
3. Yong-ming Li
4. Shuzhi Sam Ge
5. Yuanxin Li
6. Tong Wang
7. Xiao Min
8. Hongyi Li

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Hongyi Li
4. Yanjun Liu
5. Qi Zhou
6. Shuzhi Sam Ge
7. Tong Wang
8. Chengwei Wu

Citations in the corpus

• Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone (2019, background): “[11] investigated the problem of the adaptive fuzzy tracking control for single-in, single-out uncertain nonlinear systems in the nonstrict-feedback form.”
• Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions (2020, methodology): “As can be seen from (26), α1, θ1, and 1 are only the functions of estimated states x̂1 and z1, thus the algebraic loop problem [16] has been avoided by using the property of fuzzy basis functions 0 < φT i (·)φi(·) ≤ 1.”
• Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance (2019, positive): “According to Assumptions 1 and 3, and Young’s inequality [5], and 0 < ψ i (·)ψi(·) ≤ 1, one has 2x̃ P n−1 ∑”
• Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Nonstrict Feedback Systems (2019, methodology): “Step 1: Define the fuzzy IF–THEN rules and membership functions [24], and determine the fuzzy basis functions, and then the FLSs.”
• An Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Robust Fault Tolerant Control of Robot Manipulators (2019, methodology): “In addition, the proposed design topology follows the design procedure of backstepping control technique [59]–[62], and thus the globally asymptotic stability of the system can be guaranteed based on the Lyapunov criterion.”
• Adaptive output-feedback control design with prescribed performance for switched nonlinear systems (2017, neutral): “Recently, some adaptive control strategies were proposed for switched nonlinear systems via the so-called back-stepping design technique (Jiang, Shen, & Shi, 2015; Long & Zhao, 2016; Tong, Zhang, & Li, 2016; Zhao, Shi, Zheng, & Zhang, 2015; Zhao, Zheng, Niu, & Liu, 2015).”
• 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.”