Adaptive Fuzzy Output Feedback Control of MIMO Nonlinear Systems With Unknown Dead-Zone Inputs

By Shaocheng Tong, Yong-ming Li. IEEE transactions on fuzzy systems, 2013

344 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/cdca2d9512e39b27aa0298004a90baa6502d5b44

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. Yong-ming Li
3. Tong Wang
4. Yongping Pan
5. Shuai Sui
6. Yanjun Liu
7. Shuzhi Sam Ge
8. Mou Chen

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Tong Wang
4. Shuai Sui
5. Yongping Pan
6. Heng Liu
7. Ye Chen
8. Shenggang Li

Citations in the corpus

• Adaptive Fuzzy Backstepping Control of Fractional-Order Nonlinear Systems (2017, background): “According to the results in [26] and [37], it is feasible to assume that the optimal approximation error remain bounded.”
• Fuzzy Adaptive Output Feedback Control of MIMO Nonlinear Systems With Partial Tracking Errors Constrained (2015, background): “The proposed adaptive controllers in [12]–[16] discarded the restrictive assumption in [1]–[11] that the states are available for the controller design.”
• Robust iterative learning control for systems with norm‐bounded uncertainties (2016, background): “consider the second type of nonparametric uncertainties, such as adaptive fuzzy output feedback control [16, 17], and sliding mode control [18].”
• Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics (2014, methodology): “FAULT-TOLERANT CONTROL DESIGN AND STABILITY ANALYSIS In this section, an adaptive fuzzy FTC scheme will be developed by using the above fuzzy state observer and the backstepping technique [51]–[55], and the stability of the closed-loop system will be given.”