Computer Controlled Systems: Theory and Design
Computer Controlled Systems: Theory and Design
Effective digital implementation of fuzzy control systems based on approximate discrete-time models
Automatica (Journal of IFAC)
Analysis and design of fuzzy controller and fuzzy observer
IEEE Transactions on Fuzzy Systems
Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
IEEE Transactions on Fuzzy Systems
Robust fuzzy control of nonlinear systems with parametric uncertainties
IEEE Transactions on Fuzzy Systems
A new intelligent digital redesign for T-S fuzzy systems: global approach
IEEE Transactions on Fuzzy Systems
The fuzzy discrete-time robust regulation problem: an LMI approach
IEEE Transactions on Fuzzy Systems
Digitalizing a Fuzzy Observer-Based Output-Feedback Control: Intelligent Digital Redesign Approach
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
IEEE Transactions on Fuzzy Systems
Robust guaranteed cost control of uncertain fuzzy systems under time-varying sampling
Applied Soft Computing
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This paper concerns the stability of a sampled-data Takagi-Sugeno (T-S) fuzzy control system with quantization, when a controller design is based on an approximate discrete-time model of the plant without quantization. The motivations come from the facts that digital devices for interfacing a plant with a controller quantize signals and an exact discrete-time model of the T-S fuzzy system is generally not amenable to synthesis process. We show that the concerned system is Lagrange stabilizable by the controller asymptotically stabilizing the approximate discrete-time model. A constructive design algorithm for the developed stability analysis is proposed in terms of linear matrix inequalities.