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Sun et al. Complex Eng Syst 2022;2:17  I http://dx.doi.org/10.20517/ces.2022.48  Page 11 of 15


                                                    [4]
               From the well-known Borel-Cantelli lemma , it follows that for almost all    ∈ Ω, there exists a positive inte-
               ger    0 =    0 (  ) such that


                                                                      
                                                    sup |  (  )| ≤    −0.25 ˆ   .
                                                     ≤  ≤  +1
               Therefore, for almost all    ∈ Ω,
                                                          
                                       1            0.25 ˆ  
                                        ln(|  (  )|) ≤ −  ,      ∈ [  ,    + 1],     ≥    0 .
                                                    (   + 1)
               Then, we can obtain

                                                  1
                                                                     
                                            lim sup  ln(|  (  )|) ≤ −0.25 ˆ < 0    .  .
                                               →∞    
               which is the required assertion in (29). Thus, the proof is completed.
               So far, we can conclude that under Assumptions 1-3, system (1) is not only   th moment exponentially stable
               but also almost surely exponentially stable.

               Remark 5 In general, for a stochastic nonlinear system, the   th moment exponential stability does not imply
               almost surely exponential stability without any imposed conditions. However, this result can be ensured using the
               PGC (6). Similar arguments can be found in [4,13] .

               Remark 6 Inthispaper, thehighlynonlinearSSSswithtime-varyingdelaysareconsidered, inwhichtheswitching
               signal is deterministic and differs from those considered in [13,16,29–32] . In the current study on stochastic systems
               with Markovian switching [13,16,29–32] ,    matrix theory is an efficient tool for achieving stochastic stability. How-
               ever, this method is not valid for SSS (1) because a deterministic switching signal rather than the Markovian
               switching signal is involved in (1). In this paper, a new stability analysis based on the ADT method coupled with
               the MLF approach is developed for SSSs. In our proof, the Lyapunov functions do not need to be specified initially,
               which increases the flexibility for the choice of Lyapunov functions in practice.



               4. NUMERICAL EXAMPLE
               In this section, a numerical example is presented to validate the derived results. Consider the following highly
               nonlinear SSS with a time-varying delay:

                                    (  ) =      (  ) (  ,   (  ),   (   −   (  )))     +      (  ) (  ,   (  ),   (   −   (  )))    (  ),  (30)

                                               1
                                                                                          3
               where the time-varying delay       =  1  + | sin(10  )|, the initial data   (  ) =    = 0.1   with − ≤    ≤ 0, and
                                            2  4                                          4
                                                           1  2           1    1  2
                                                        3
                                            1 (  ,   ,   ) = −   −    +    ,    1 (  ,   ,   ) =     +    ,
                                                           3              4    4
                                                      1   4  3  1  2          1  2
                                          2 (  ,   ,   ) = −   +    −    +    ,    2 (  ,   ,   ) =     .
                                                      3   3     3             4
                                                               . It is not difficult to verify that Assumption 1 holds
                                           6
               In addition, we set Λ(  ,   , 1) =    and Λ(  ,   , 2) =  11 6
                                                          12
                                         4
                               3
                         1
               with    1 = ,    = , and ¯   = , and    1 ,    2 ,    1 ,    2 satisfy Assumption 2. Then, we have    1 =  11 ,    2 = 1 and
                         2     4         3                                                    12
                  1 =    2 = , which satisfy (7) and (8). A direct computation yields
                        11
                        10
                                                               1     30   1    1
                                                     5      3    2       4       2 2
                                     L  (  ,   ,   , 1) = 6   (−   −    +    ) +     (    +    )
                                                               3      2   4    4
                                                    407  8  169  8  93  6  67  6
                                                 ≤ −       +      −      +     .
                                                    112     112    28     56
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