2017
DOI: 10.1109/tfuzz.2016.2554152
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Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems With Generalized Actuator Dead Zone

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Cited by 107 publications
(42 citation statements)
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“…Several new dead zone compensation strategies were proposed in References [28][29][30], and the motor current quality has been improved under light load. However, it is hard to get satisfactory compensation effects under wide load working conditions and the compensation proposal increases the control complex.…”
Section: Discussionmentioning
confidence: 99%
“…Several new dead zone compensation strategies were proposed in References [28][29][30], and the motor current quality has been improved under light load. However, it is hard to get satisfactory compensation effects under wide load working conditions and the compensation proposal increases the control complex.…”
Section: Discussionmentioning
confidence: 99%
“…We notice that the fuzzy method is prevalently used in mobile cloud offloading since this method is characterized by using linguistic variables to describe fuzzy terms that are then mapped to numerical variables [63][64][65]. Moreover, it deals effectively with uncertain and imprecise information to solve real-world problems in different domains such as bioenergy production technologies [66], cloud storage service [67], e-learning [68], microgrids [69,70], and so on.…”
Section: Uncertainty and Fuzzy Methodsmentioning
confidence: 99%
“…The fuzzy rule base accumulates a great amount of expert knowledge and experiences. [26][27][28] Fuzzy control rules are characterized by If-Then statements involving fuzzy linguistic variables. For example, the generic form of fuzzy rules in the case of multiple-input single-output system (MISO) is: If x is A i , ., and y is B i , Then z is C i , i = 1,2, ., n.…”
Section: The Control Concept Of Key Target Recognitionmentioning
confidence: 99%