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Sun et al. Intell Robot 2023;3(3):257-73  I http://dx.doi.org/10.20517/ir.2023.17   Page 263


                                          {
                                           ¤   (  ) =     (  ) +     (  ) +   (  )
                                                                                                        (6)
                                                                              )
                                             (  ) =     (      ℎ),    ∈ [      ℎ +           ,      +1 ℎ +         +1
               where    is the cloud controller gain to be designed.

               In the following, the divisions of the sampling-like intervals for [      ℎ +       ,      +1 ℎ +      +1 ) are presented according
               to [30] . Assume that
                                                                +1 −      −1
                                                      Ω = ∪      Ω ℓ
                                                           ℓ=0
                                 ,       ℎ + ℎ +          +1 ) with       ℎ =       ℎ + ℓℎ.
               where Ω ℓ = [      ℎ +         
               By defining
                                                         (  ) =    −       ℎ                            (7)

               for all    ∈ Ω ℓ, then the piece-wise function satisfying ¤(  ) = 1, and
                                                             
                                                                           } =       .
                                        0 ≤       = min{          ,         +1  } ≤ ℎ + max{         ,     +1

               Therefore, the control action of (6) can be represented as

                                                  (  ) =   (  (   −   (  )) −   (      ℎ))              (8)

               by combing (4) and (7).

               Further, the NCS modeling under SS-ETC (5) is described as

                                        
                                         ¤  (  ) =     (  ) +     (  (   −   (  )) −   (      ℎ)) +   (  )
                                        
                                        
                                        
                                         subjects to:                                                   (9)
                                         
                                        
                                                                  
                                        
                                           (      ℎ)Φ  (      ℎ) ≤  X(      )
                                                         ||  (      ℎ)|| +   
                                        
               where the detailed meaning of parameters is given by the aforementioned equation (5). Here, the initial state
               of the   (  ) can be defined as   (   0 ) for    ∈ [   0 −       ,    0 ).
               Remark 4 In fact, (9) gives a more compact form of the event-triggered control for the NCS. From (9), it is clear
               that the stability of the closed loop dynamics now depends on the control update rule through   (      ℎ). If the SS-
               ETC scheme, where the event-triggered condition given in the below equation of (9), keeps   (      ℎ) in a small sense,
               the stability of the studied dynamics would not be destroyed. This is the reason that one can stabilize (9) with a
               variable-threshold ETC scheme with the same controller   .
               By using the proposed SS-ETC scheme (5), this paper attempts to pursue the ISS analysis and the controller
               synthesis for the NCS (9) while the following objectives are achieved.

               Definition 1 The NCS (8) resulting in (5) is said to be input-to-state stable (ISS), if there exist a KL-function   
               and K ∞-function    such that

                                             ||  (  )|| ≤   (||  (   0 )||,   ) +   (||  (  )|| ∞ )    (10)
               for all   (  ) ∈ L ∞.



               3. MAIN RESULTS
               In this section, the stability analysis and input to state stabilization issues are conducted with Lyapunov theory.
               In addition, the co-design algorithm is also presented at the end of this section.
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