Non-Fragile Fuzzy Tracking Control for Nonlinear Networked Systems with Dynamic Quantization and Randomly Occurring Gain Variations
نویسندگان
چکیده
This paper investigates the observer-based non-fragile output feedback tracking control problem for nonlinear networked systems with randomly occurring gain variations. The considered are represented by a Takagi–Sugeno (T–S) fuzzy model. dynamical quantization methodology is employed to achieve reasonable and efficacious utilization of limited communication resources. objective design controller, such that resulting system mean-square asymptotically stable given H∞ performance. Based on descriptor representation strategy combined S-procedure, sufficient conditions existence desired dynamic quantizers controller proposed in form linear matrix inequalities. Finally, simulation results provided show effectiveness method
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11051116