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Adaptive Finite-Time Neural Control of Servo Systems With Non-linear Dead-Zone  127


                             ii) The terminal sliding mode manifold s can converge to zero within a finite
                                                                                     1
                                time if the design parameters δ 1 and δ 2 are chosen to satisfy δ 1 ≥  ε N and
                                                                                     ϕ 0
                                    1    ∗T
                                δ 2 ≥   W  φ(X)  F .
                                    ϕ 0
                            iii) The tracking error e will converge to zero within a finite time.
                            Proof. i) Choose the following Lyapunov function:
                                                           1  2    1  2
                                                  V(t) =      s +   θ ˜                (8.33)
                                                         2k 0 ϕ 0  2γ
                               Differentiating (8.33) with respect to time t and using (8.27)and (8.25)
                            with Young’s inequality on the term sW φ(X) yields
                                                               ∗
                                        1     1 ˙
                                          s
                                               ˜ ˜
                               ˙ V(t) =   s˙ + θθ
                                      k 0 ϕ 0  γ
                                       2 ˜ T          1 ˙       1  2      r+1        1   ε 2
                                                       ˜ ˆ
                                    ≤ s θφ (X)φ(X) − θθ − (k 1 − )s − k 2 |s|  − δ|s|+  +
                                                      γ         2                   4ϕ 0  2ϕ 2
                                                                                          0
                                                                                       (8.34)
                               Substituting (8.25)into(8.34)yields
                                             1  2      r+1       σ(2λ−1) 2  1   ε 2  σð  ∗2
                               ˙ V(t) ≤−(k 1 − )s − k 2 |s|  − δ|s|−  θ ˜ +   +   2 +  θ
                                             2                     2λ      4ϕ 0  2ϕ 0  2
                                             1  2  σ(2λ−1) 2  1    ε  2  σð  ∗2
                                     ≤−(k 1 − )s −       θ ˜ +  +   2 +  θ
                                             2       2λ      4ϕ 0  2ϕ 0  2
                                     ≤−ηV + ξ
                                                                                       (8.35)
                            where η = min{(2k 1 − 1)k 0 ϕ 0 ,σ(2λ − 1)} is positive for k 1 > 1/2,λ > 1/2,
                                             2
                                                  2
                            and ξ = 1/(4ϕ 0 ) + ε /(2ϕ ) + σðθ  ∗2 /2 is a bounded constant.
                                                  0
                               Because the NN approximation is feasible in a compact set, the resulting
                            stability is true in semi-global sense. From (8.33)–(8.35), we can conclude
                            that both s and θ are semi-globally uniformly ultimately bounded. Consid-
                                          ˜
                            ering (8.11) and the boundedness of W , it can be obtained that e, ˙e,and
                                                               ∗
                             ˆ W are also uniformly ultimately bounded, and thus the control input v(t) is
                            bounded according to (8.24). Since y d , ˙y d ,and ¨y d are bounded, the bound-
                            edness of x r and ˙x r is guaranteed by (8.12)and (8.16). From (8.27), it can
                            be concluded that ˙s is uniformly ultimately bounded due to the bounded-
                            ness of d(t). Therefore, all signals of the closed-loop system are uniformly
                            ultimately bounded in a compact set.
                               ii) From (8.26), we can conclude that the sigmoid function φ i (X) is
                                                                               a      a
                            bounded by 0 <φ i (X)< L 0, i = 1,··· ,L 1,with L 0 = max{| +d|,|  +d|}.
                                                                               b     b+1
                            Then, φ(X) is bounded by

                                                      φ(X) ø L 0 L 1                   (8.36)
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