Reliable Dissipative Interval Type-2 Fuzzy Control for Nonlinear Systems with Stochastic Incomplete Communication Route and Actuator Failure

This paper investigates the dissipative interval type-2 (IT2) fuzzy control issue for a group of uncertain nonlinear systems subject to randomly occurring sensor saturation and quantization. By utilizing the both lower and upper membership functions with relevant tradeoff moduli, uncertainties, whic...

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Bibliographic Details
Published inInternational journal of fuzzy systems Vol. 22; no. 2; pp. 368 - 379
Main Authors Li, Qi, Pan, Yingnan, Zhang, Zhenxing, Lam, Hak-Keung
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020
Springer Nature B.V
Subjects
Actuator failure
Artificial Intelligence
Closed loops
Communication
Computational Intelligence
Control algorithms
Control systems design
Controllers
Data transmission
Design
Dissipation
Engineering
Feedback control
Fuzzy control
Fuzzy sets
Management Science
Nonlinear control
Nonlinear systems
Operations Research
Random variables
Sensors
Stability criteria
System effectiveness
Quantization
Random incomplete transmission
Interval type-2 (IT2) fuzzy control
Actuator failure
Sensor saturation
Dissipativity
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Summary:This paper investigates the dissipative interval type-2 (IT2) fuzzy control issue for a group of uncertain nonlinear systems subject to randomly occurring sensor saturation and quantization. By utilizing the both lower and upper membership functions with relevant tradeoff moduli, uncertainties, which exist in the considered systems, can be captured effectively. During the design of the IT2 fuzzy controller, we take the actuator failure into consideration. Considering the randomicities for the occurrences of sensor saturation and quantization, two separate Bernoulli stochastic distributed courses are utilized to construct the corresponding complicated transmission route. In term of Lyapunov stability theory, sufficient criteria to design dissipative IT2 fuzzy controller are presented to assure the stochastic stability with strict dissipativity of resulting closed-loop systems. Finally, illustrative example verifies the effectiveness and merits of the control strategy proposed in this paper.
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ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-020-00807-y