On the Local Quadratic Stability of T-S Fuzzy Systems in the Vicinity of the Origin
Donghwan Lee, Do Wan Kim

TL;DR
This paper develops less conservative local stability conditions for continuous-time T-S fuzzy systems near the origin using LMIs and quadratic Lyapunov functions, providing necessary and sufficient criteria.
Contribution
Introduces new local stability conditions for T-S fuzzy systems that are less conservative and offer necessary and sufficient criteria near the origin.
Findings
Proposed conditions are less conservative than existing methods.
Conditions are necessary and sufficient for local exponential stability.
Validated through comprehensive examples.
Abstract
The main goal of this paper is to introduce new local stability conditions for continuous-time Takagi-Sugeno (T-S) fuzzy systems. These stability conditions are based on linear matrix inequalities (LMIs) in combination with quadratic Lyapunov functions. Moreover, they integrate information on the membership functions at the origin and effectively leverage the linear structure of the underlying nonlinear system in the vicinity of the origin. As a result, the proposed conditions are proved to be less conservative compared to existing methods using fuzzy Lyapunov functions in the literature. Moreover, we establish that the proposed methods offer necessary and sufficient conditions for the local exponential stability of T-S fuzzy systems. The paper also includes discussions on the inherent limitations associated with fuzzy Lyapunov approaches. To demonstrate the theoretical results, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks Stability and Synchronization · Matrix Theory and Algorithms · Stability and Control of Uncertain Systems
