Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach

By Bing Chen, Xiaoping Liu, Shuzhi Sam Ge, Chong Lin. IEEE transactions on fuzzy systems, 2012

393 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ad1367e58dda9ca4d375e8b666410c66d05c03db

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In Artificial Intelligence

1. Qi Zhou
2. Peng Shi
3. Hongyi Li
4. Shaocheng Tong
5. Yong-ming Li
6. Yuanxin Li
7. Chengwei Wu
8. Lijie Wang

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Hongyi Li
4. Qi Zhou
5. Peng Shi
6. Yuanxin Li
7. Lijie Wang
8. Haiping Du

Citations in the corpus

• Observer-Based Adaptive Decentralized Fuzzy Fault-Tolerant Control of Nonlinear Large-Scale Systems With Actuator Failures (2014, background): “INTRODUCTION IN the past decade, fuzzy logic systems (FLSs) and neural networks (NNs) have been extensively used for the modelling and controller design for uncertain nonlinear systems [1-7] due to their approximation ability to the nonlinear smooth functions, and various adaptive fuzzy and NN decen”
• Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems (2016, methodology): “3) In the adaptive fuzzy control design, since the proposed state feedback and observer-based output feedback control schemes only utilize the property of fuzzy basis functions, instead of the restrictive assumption in the literature [28]–[33], they can easily be designed in the framework of the tra”
• Observer-Based Adaptive Fuzzy Decentralized Optimal Control Design for Strict-Feedback Nonlinear Large-Scale Systems (2018, background): “INTRODUCTION IN THE past decades, fuzzy logic systems (FLSs) and neural networks (NNs) have been widely applied to control nonlinear systems in [1]–[12], and many adaptive fuzzy decentralized control methods have been proposed in [13]–[16].”
• Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint (2017, background): “Assumption 1 [55]: The function gi(x̃i) is unknown for 1 ≤ i ≤ n − 1, but the boundary of gi(x̃i) is known by a positive constant bi, and bi satisfies that 0 ≤ bi ≤ |gi(x̃i)|.”
• Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems (2015, background): “As an alternative, neural networks (NNs) [12]–[15] or fuzzy logic system (FLS) [16]–[22] approximator-based adaptive control approaches have been developed to deal with nonlinear systems with unstructured uncertainties.”
• Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions (2020, background): “…strict-feedback nonlinear systems: where f i ( x i ) and g i ( x i ) (cid:2)= 0 are continuous functions and For system ( I ) , the authors in [1]–[3], [5], and [8] gave some typical adaptive fuzzy backstepping control design methods, while the authors in [4], [6], and [7] proposed several…”