2020
DOI: 10.1016/j.automatica.2020.109170
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Fast finite-time adaptive stabilization of high-order uncertain nonlinear system with an asymmetric output constraint

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Cited by 59 publications
(40 citation statements)
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“…The parameter δ is a positive value satisfying that 0 < δ 1. It is noted that the function µ 1 (t, T ) meets that µ 1 (0, T ) = 1 (T +δ) γ , and when t = T , µ 1 (t, T ) = 1/δ γ with an integer γ greater than 1, which guarantees the continuity of the switching function (7). The function µ 1 (t, T ) is a positive non-decreasing function and is continuous everywhere.…”
Section: A Coordinate Transformation and Inverse Coordinate Transformentioning
confidence: 91%
See 1 more Smart Citation
“…The parameter δ is a positive value satisfying that 0 < δ 1. It is noted that the function µ 1 (t, T ) meets that µ 1 (0, T ) = 1 (T +δ) γ , and when t = T , µ 1 (t, T ) = 1/δ γ with an integer γ greater than 1, which guarantees the continuity of the switching function (7). The function µ 1 (t, T ) is a positive non-decreasing function and is continuous everywhere.…”
Section: A Coordinate Transformation and Inverse Coordinate Transformentioning
confidence: 91%
“…The finite-time and fixed-time stability is widely considered since the attribute of owing a specified time. The finite-time stability for second-order and high-order systems are respectively considered in [6] and [7]. The finite-time stabilization and optimal feedback control for the nonlinear dynamical system are investigated in [8].…”
Section: Introductionmentioning
confidence: 99%
“…Otherwise, it will cause performance degradation and system damage. A lot of methods had been investigated to solve this issue, including set invariance notions [31], reference governors [32], model predictive control [33], nevertheless, after the barrier Lyapunov function (BLF) method has been designed, the most commonly used methods to solve the constraint problem is the design based on BLF, such as some conventional BLF [34]- [39], and some novel BLF [40]- [42]. While there are some deficiencies in BLF-based design, the redesign as the Lyapunov function changes, the structure of complex controller, the selection interval of initial value, etc.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, many researchers are committed to applying FTC methods to practical systems, for example aerospace aircrafts, 7 underactuated mechanical systems, 8 power equipments, 9 unmanned autonomous helicopters, 10 etc. In practice, since finite‐time stability 11 exhibits some appealing features such as higher accuracies, better robustness as well as faster convergence, 12‐14 the attention of recent research on the FTC scheme has moved to the finite‐time control issue. For a group of underactuated autonomous surface vessels, Xu 15 proposes an appropriate fault tolerant finite‐time leader–follower formation control strategy.…”
Section: Introductionmentioning
confidence: 99%