A hybrid adaptive fuzzy control for a class of nonlinear MIMO systems

By Han-Xiong Li, Shaocheng Tong. IEEE transactions on fuzzy systems, 2003

295 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/a093d273c9d8bc764c0f8074aecd7d31f4d5d1ed

How researchers see this paper

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

In Control and Systems Engineering

1. Shaocheng Tong
2. Yanjun Liu
3. Yong-ming Li
4. Chun Lung Philip Chen
5. Gang Feng
6. Tie-shan Li
7. Guoxing Wen
8. Zhi Liu

Citations in the corpus

• Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems (2011, background): “Assumption [20], [21], [30], [32]: There exist known constants εij > 0 and δ 0 ij > 0, such that |εij | ≤ εij and |δij | ≤ δ ij , for i = 1, 2, .”
• Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (2016, background): “Assumption 3 [45]–[47]: The minimum approximation errors εij(t) and the approximation errors δij(t) are bounded, i.”
• Perspectives of fuzzy systems and control (2005, methodology): “In direct AFC, the control law is represented by a single fuzzy system whose parameters are adjusted to meet the required control objective [34,10,11,41,49].”