On the discretization of LMI-synthesized linear parameter-varying controllers
Automatica (Journal of IFAC)
Digital Control Systems
IEEE Transactions on Fuzzy Systems
GA-based intelligent digital redesign of fuzzy-model-based controllers
IEEE Transactions on Fuzzy Systems
A new intelligent digital redesign for T-S fuzzy systems: global approach
IEEE Transactions on Fuzzy Systems
Digitalizing a Fuzzy Observer-Based Output-Feedback Control: Intelligent Digital Redesign Approach
IEEE Transactions on Fuzzy Systems
Intelligent digital redesign revisited: Approximate discretization and stability limitation
Fuzzy Sets and Systems
IEEE Transactions on Fuzzy Systems
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This paper investigates the theoretical justification of intelligent digital redesign (IDR) methods based on the approximate discrete-time models. Its main purpose is to design the digital fuzzy controller achieving the minimum norm distance between the trajectories of the approximate closed-loop systems under the analog and the digital controls. It is verified that, if there exist the digital gains such that the approximate norm distance is sufficiently small, the redesigned controller makes the trajectories of the exact closed-loop systems close, or, at least, asymptotically stabilizes the plant.