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Anjum et al. / IJOCTA, Vol.15, No.4, pp.670-685 (2025)
               (i) Utilizing the error model, an FVECDO       corresponding error dynamics for the system can
                   is designed to estimate lumped distur-     be expressed as in Equation (2).
                   bances. Unlike finite-time Dos, this ob-
                   server guarantees lumped disturbance es-              ˙
                                                                         Ξ 1 = Ξ 2
                   timation within a fixed timeframe, re-                                                 (2)
                                                                         ˙
                   gardless of initial conditions.  Addition-            Ξ 2 = G (x) + h (x) u + D a
                   ally, compared to fixed-time DOs 38,39  that
                                                              where G (x) = g (x) − ¨y des , u = τ(t) and D a =
                   rely on known bounds of lumped distur-
                                                              ∆g (x) + d a (t) represent the lumped disturbances
                   bances and their derivatives, the proposed
                                                              in the second-order system.
                   FVECDO imposes fewer constraints on
                                                                  Assumption 1: The function h (x) in Equa-
                   these disturbances, making it more effec-
                                                              tion (1) is assumed to be greater than zero. That
                   tive for practical scenarios.
                                                              is, there exists a real positive value b such that
               (ii) To achieve stable, rapid, and precise trajec-             2
                                                              h (x) > b, ∀x ∈ ℜ .
                   tory tracking in nonlinear dynamical sys-
                   tems, a novel FTTSMC utilizing a reaching      Assumption 2: The lumped disturbances in
                   strategy with a state-dependent exponent   the second-order system are typically unknown
                   coefficient is proposed.  This controller,  but constrained by a positive constant η, as in
                   leveraging disturbance estimation infor-   Equation (3):
                   mation, ensures rapid convergence both
                   near and far from the system’s equilibrium           |D a | = |∆g (x) + d a (t)| ≤ η   (3)
                   point, while avoiding singularity issues.
              (iii) Furthermore, fixed-time stability of the      Assumption 3: The desired trajectory y des is
                   closed-loop system is analyzed using the   twice continuously differentiable with respect to
                   Lyapunov method.                           time.
                The structure of this paper is as follows: Sec-
            tion 2 introduces the foundational concepts and
            outlines the problem.   Section 3 presents the    2.2. Mathematical foundations
            observer-based fixed-time control method and de-
                                                              Consider a general nonlinear system as given in
            tails the fixed-time stability of the closed-loop sys-
                                                              Equation (4):
            tem. In Section 4, the proposed control strategy
            is validated through simulations. Finally, Section
            5 concludes the study.                                         ˙ y = f (y (t)) , y (0) = y 0  (4)
                                                                          n
                                                                                                n
            2. Problem formulation and                        where y ∈ ℜ and f (y (t)) : D → ℜ are nonlin-
                mathematical foundations                      ear functions.
                                                                  Definition 1. 40  The equilibrium point y = 0
            2.1. Problem formulation
                                                              of System IV is said to be finite-time stable if it
            Consider the following second-order nonlinear dy-  satisfies Lyapunov stability, and there exists an
            namical system with model uncertainties and ex-   open region D ⊆ D 0 containing the origin and a
            ternal disturbances Equation (1):                 function ˆy : D\ {0} → (0, ∞) such that, for all
                                                              y 0 ∈ D, the outcome y (t, y 0 ) for t ∈ (0, ˆy (y 0 ))
                ˙ x 1a = x 2a                                 satisfies  lim y (t, y 0 ) = 0 and y (t, y 0 ) = 0 for
                                                                      t→ˆy(y 0 )
                ˙ x 2a = g (x) + ∆g (x) + h (x) τ(t) + d a (t)  (1)                                    n
                                                              any t > ˆy (y 0 ). Specifically, when D ∈ ℜ , the
               y a = x 1a                                     system is globally finite-time stable.
            where y a denotes the output signal, x 1a and x 2a    Definition 2. 41  The equilibrium point y = 0 of
            signify the system’s state variables. The func-   System IV is said to be fixed-time stable if it is
            tions g (x) and h (x) are assumed to be smooth    finite-time stable and its settling time T is con-
                                                    T
            and nonlinear, depending on x = [x 1a , x 2a ] . The  strained by a value T max > 0, ensuring T ≤ T max .
            term ∆g (x) represents model uncertainties, d a (t)   Definition 3. 42  The equilibrium point y = 0 of
            denotes external disturbances, and τ(t) is the con-  System IV is said to be practically fixed-time sta-
            trol input.                                       ble if it satisfies the fixed-time stability property,
                                                                                                     n
                Let Ξ 1 = y a − y des be the difference between  and there exists a specified region Φ ∈ ℜ and a
            the actual output and the desired output, and let  constant T > 0 such that, for all initial conditions
                                                                    n
                                                              y 0 ∈ ℜ , the state y(t) enters the region Φ within
            Ξ 2 = ˙y a − ˙y des be its time derivative. Here, y des
            and ˙y des refer to the desired trajectory and its de-  time T and remains in Φ for all t > T, where T
            rivative with respect to time, respectively. The  does not depend on the initial conditions.
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