Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation

By Yong-ming Li, Shaocheng Tong, Tie-shan Li. IEEE transactions on fuzzy systems, 2016

392 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/a41d3478ad56908205d38f305f3a06b3e32a824e

How researchers see this paper

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In Computer Networks and Communications

1. Jun Wang
2. Zhouhua Peng
3. Dan Wang
4. Chun Lung Philip Chen
5. Guoxing Wen
6. Zhi Liu
7. Hongjing Liang
8. Haiping Du

In Control and Systems Engineering

1. Hongyi Li
2. Jun Wang
3. Yanjun Liu
4. Chun Lung Philip Chen
5. Zhouhua Peng
6. Dan Wang
7. Lijie Wang
8. Haiping Du

Citations in the corpus

• Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems (2017, background): “great number of NN or FLS-based nonlinear control methods have been published [19]–[26], in which [19]–[22] are based on NN and [23]–[26] are based on FLS.”
• Event‐triggered adaptive backstepping control for parametric strict‐feedback nonlinear systems (2018, neutral): “̇̃ θi = −Γi ( φi(xi)zi − τi(θi − θ̃i) ) , (11) where θ̃i = θi − θ̂i.”
• Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers (2021, background): “Therefore, input saturation is an important inevitable research topic [30]–[35].”
• Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback (2017, background): “Besides, compared with the observer designs for nonlinear systems in [27]–[29] where the uncertainty identifications depend on the tracking error dynamics, the uncertainty estimation loop”
• Adaptive dynamic surface asymptotic tracking for a class of uncertain nonlinear systems (2018, methodology): “By applying the Barbalat lemma in the work of Krstic et al,2 to Equation 37, it is concluded that lim t→∞ z1 = 0, (38) that is, the asymptotic tracking is achieved.”
• Adaptive Fuzzy Backstepping Tracking Control for Strict-Feedback Systems With Input Delay (2017, methodology): “With the common techniques including singleton, center average defuzzification and product inference [25], [34], the final”