2016
DOI: 10.1007/s00034-016-0377-5
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Periodically Intermittent Synchronization of Stochastic Delayed Neural Networks

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Cited by 15 publications
(3 citation statements)
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“…In actual operation, since the attitude ψ and the angular velocity 𝒲 of the three axes are all measurable, state feedback U (t ) =  𝚥 x(t ), 𝚥 ∈ 1, 𝜄, can be used to design a parallel distributed compensation controller for the T-S fuzzy FS. Note from [27] that intermittent control can reduce a lot of control costs compared with continuous feedback control, and so this paper adopts the following form of intermittent control…”
Section: Problem Formulationmentioning
confidence: 99%
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“…In actual operation, since the attitude ψ and the angular velocity 𝒲 of the three axes are all measurable, state feedback U (t ) =  𝚥 x(t ), 𝚥 ∈ 1, 𝜄, can be used to design a parallel distributed compensation controller for the T-S fuzzy FS. Note from [27] that intermittent control can reduce a lot of control costs compared with continuous feedback control, and so this paper adopts the following form of intermittent control…”
Section: Problem Formulationmentioning
confidence: 99%
“…In actual operation, since the attitude trueψ and the angular velocity scriptW of the three axes are all measurable, state feedback Ufalse(tfalse)=scriptKȷxfalse(tfalse), ȷ1,ι¯, can be used to design a parallel distributed compensation controller for the T‐S fuzzy FS. Note from [27] that intermittent control can reduce a lot of control costs compared with continuous feedback control, and so this paper adopts the following form of intermittent control truerightU(t)=Kȷ(t)x(t),in which scriptKȷ(t)=false{scriptKȷ,t1false[tl,slfalse),0,t2false[sl,tl+1false),ldouble-struckN+, and Kȷ is the feedback gain matrix to be designed later. However, we have to mention that the state feedback control may be highly sensitive to the error of the controller coefficient in actual operation.…”
Section: Problem Formulationmentioning
confidence: 99%
“…Many control strategies have been developed to regulate synchronization behavior, such as impulsive control , adaptive control , pinning control , fuzzy control , intermittent control , sampled‐data control and sliding‐mode control . Among them, intermittent control and impulsive control are discontinuous control.…”
Section: Introductionmentioning
confidence: 99%