Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems With Unmodeled Dynamics

By Yanjun Liu, Shaocheng Tong, Chun Lung Philip Chen. IEEE transactions on fuzzy systems, 2013

311 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/fb9ace258a1f0de4b612c10fc6f2e6f361d8925f

How researchers see this paper

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

In Aerospace Engineering

1. Wei He
2. Changyin Sun

In Control and Systems Engineering

1. Wei He
2. Changyin Sun
3. Yiting Dong
4. Yanjun Liu
5. Chun Lung Philip Chen
6. Guoxing Wen
7. Zhi Liu
8. Shaocheng Tong

Citations in the corpus

• Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (2016, background): “In tracking control of nonliear systems, observer-based adaptive control has been well developed (see [25]–[34]), where [25]–[30] are for single-input and single-output nonlinear systems, [31]–[34] for multiple-input and multiple-output nonlinear systems.”
• Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (2016, unknown): “18]T , the control parameters are chosen as K1 = diag[40, 1], K2 = diag[5, 16], K3 = diag[70, 19], σ1 = 0.”
• Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (2016, background): “A reduced-order observer is designed to estimate immeasurable states in [37].”