Direct adaptive fuzzy control of nonlinear strict-feedback systems

By Bing Chen, Xiaoping Liu, Kefu Liu, Chong Lin. at - Automatisierungstechnik, 2009

676 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/eacdaa320644186dd4e434d1991a1a12a216bcec

How researchers see this paper

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

In Artificial Intelligence

1. Shaocheng Tong
2. Yong-ming Li
3. Peng Shi
4. Yuanxin Li
5. Tie-shan Li
6. Chun Lung Philip Chen
7. Yanjun Liu
8. Qi Zhou

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Yanjun Liu
4. Peng Shi
5. Tie-shan Li
6. Qi Zhou
7. Chun Lung Philip Chen
8. Hongyi Li

Citations in the corpus

• Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions (2020, background): “Design observer gain vector L = [l1, l2, l3] = [2, 34, 36] such that matrix A is strict Hurwitz.”
• Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems (2011, background): “ˆ θ , we can get where From the work in [31], it can be shown that (cid:16) (cid:17) Then, we get Therefore, the following inequality holds: Choose λ min ( Q ) − (3 + n ) > 0 ; then, (51) implies that the signals x i , ˆ x i , χ i , ˆ θ, α i , and u are bounded.”
• Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach (2012, background): “Remark 2: According to Lemma in [1], under the initial condition θi(t0) ≥ 0, the solution θi(t) ≥ 0 holds for t ≥ t0 .”
• Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems (2011, neutral): “Assumption 3 [8], [15]: There are unknown positive constants εi and δ ∗ i such that |εi| ≤ εi and |δi| ≤ δ∗ i .”
• Adaptive output-feedback control design with prescribed performance for switched nonlinear systems (2017, background): “However, Chen et al. (2016) and Tong, Li et al. (2016) do not consider the issue of prescribed performance.”
• Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems (2011, background): “For uncertain nonlinear continuous-time systems, several elegant adaptive control schemes with fewer adaptive parameters have been developed for uncertain nonlinear systems based on FLSs [ 18 ]–[20].”
• Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking (2023, methodology): “Thus, the fuzzy logic system and neural networks (NN) have been utilized to tackle the completely unknown nonlinear dynamics, such as those in [11], [12], [13], [14].”
• Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation (2015, background): “Assumption 2 [35], [36]: The disturbance di is bounded by a positive constant diM , i.”