For uncertain nonlinear systems with dead-zone input, this paper focuses on designing a disturbance observer-based adaptive fuzzy finite-time prescribed performance controller. To meet practical requirements, a fixed-time disturbance observer is constructed to estimate the system uncertainties. To confine the tracking error within a predefined range, a finite-time performance function is introduced. Subsequently, the constrained problem is transformed into a stability problem via a transformation function. Based on Lyapunov stability theory, the proposed control method can ensure that the closed-loop signals are bounded and the tracking error is restricted within the prescribed range. The simulation results confirm the validity of the proposed approach.
Citation: Yuhong Huo, Wei Xiang. Finite-time transient control of uncertain nonlinear systems based on prescribed performance and disturbance observer[J]. AIMS Mathematics, 2025, 10(11): 25137-25153. doi: 10.3934/math.20251112
For uncertain nonlinear systems with dead-zone input, this paper focuses on designing a disturbance observer-based adaptive fuzzy finite-time prescribed performance controller. To meet practical requirements, a fixed-time disturbance observer is constructed to estimate the system uncertainties. To confine the tracking error within a predefined range, a finite-time performance function is introduced. Subsequently, the constrained problem is transformed into a stability problem via a transformation function. Based on Lyapunov stability theory, the proposed control method can ensure that the closed-loop signals are bounded and the tracking error is restricted within the prescribed range. The simulation results confirm the validity of the proposed approach.
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