Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Brief paper: A new approach to quantized feedback control systems
Automatica (Journal of IFAC)
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI-based designs
IEEE Transactions on Fuzzy Systems
Parameterized linear matrix inequality techniques in fuzzy control system design
IEEE Transactions on Fuzzy Systems
Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model
IEEE Transactions on Fuzzy Systems
On relaxed LMI-based designs for fuzzy regulators and fuzzy observers
IEEE Transactions on Fuzzy Systems
Design of Observer-Based Control for Fuzzy Time-Delay Systems
IEEE Transactions on Fuzzy Systems
Brief Quadratic stabilization of sampled-data systems with quantization
Automatica (Journal of IFAC)
Hybrid feedback stabilization of systems with quantized signals
Automatica (Journal of IFAC)
Optimal robust adaptive fuzzy H∞ tracking control without reaching phase for nonlinear system
Journal of Control Science and Engineering
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This paper is concerned with the problem of stabilizing one family of fuzzy nonlinear systems by means of fuzzy quantized feedback. The hybrid control strategy originating in earlier work by Brockett and Liberzon (2000) and Liberzon (2003) relies on the possibility of making discrete online adjustments of quantizer parameters. We explore this method here for one class of fuzzy nonlinear systems with fuzzy quantizers affecting the state of the system. New results on the stabilization of the family of fuzzy nonlinear systems are obtained by choosing appropriately quantized strategies. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method.