Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943940 | Fuzzy Sets and Systems | 2017 | 30 Pages |
Abstract
Given a Takagi-Sugeno (TS) system, this paper proposes a novel methodology to obtain the state feedback controller guaranteeing, asymptotically as a Polya-related complexity parameter grows, the largest (membership-shape independent) possible domain-of-attraction with contraction-rate performance λ, based on polyhedral λ-contractive sets from constrained linear systems literature. The resulting controller is valid for any realisation of the memberships, as usual in most TS literature. For a finite complexity parameter, an inner estimate of such largest set is obtained; the frontier of such approximation can be understood as the level set of a polyhedral control-Lyapunov function. Convergence of a proposed iterative algorithm is asymptotically necessary and sufficient for TS system stabilisation: for a high-enough value of the complexity parameter, any conceivable shape-independent Lyapunov controller design procedure will yield a proven domain of attraction smaller or equal to the algorithm's output.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Carlos Ariño, Antonio Sala, Emilio Pérez, Fernando Bedate, Andrés Querol,