A Sum-of-Squares Approach to Modeling and Control of Nonlinear Dynamical Systems With Polynomial Fuzzy Systems

By Kazuo Tanaka, Hiroto Yoshida, Hiroshi Ohtake, Hua O. Wang. IEEE transactions on fuzzy systems, 2009

455 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/c14e89ff3995d91428186349778b477d3ca58a62

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. Hongyi Li
2. Haiping Du
3. Hak-Keung Lam
4. Ligang Wu

In Control and Systems Engineering

1. Hongyi Li
2. Haiping Du
3. Hak-Keung Lam
4. Ligang Wu
5. Peng Shi
6. Shaocheng Tong
7. Yong-ming Li
8. Qi Zhou

In Mechanics of Materials

1. Hak-Keung Lam

Citations in the corpus

• A survey on industrial applications of fuzzy control (2011, unknown): “Popular approaches employ quadratic, piecewise quadratic, non-quadratic, parameter-dependent, polynomial and fuzzy Lyapunov functions [169–182], and they show the constant effort to reduce the conservativeness of the stability conditions.”
• Event-Triggered Fault Detection of Nonlinear Networked Systems (2017, methodology): “Step 2: Obtain the polynomial T–S system of the system in step 1 based on the approach in [33].”