Adaptive finite-time control of nonlinear systems with parametric uncertainty

By Yiguang Hong, Jiankui Wang, DaiZhan Cheng. IEEE Transactions on Automatic Control, 2006

456 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/f8801b4cdd5d60e299a9ee2ce69588b0400deab6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Yanjun Shen
2. Miroslav Krstic
3. Pengju Ning
4. C. Hua
5. Yuehua Huang
6. Kuo Li
7. Yongduan Song

In Control and Systems Engineering

1. Yongduan Song
2. Yuehua Huang
3. Xiaoping Liu
4. Kok Lay Teo
5. Yanjun Shen
6. Miroslav Krstic
7. Ming Chen
8. Pengju Ning

Citations in the corpus

• Guidance Laws with Finite Time Convergence (2009, background): “in the following two decades; see, for example, [19–31].”
• Technical Notes and Correspondence Uniformly Observable and Globally Lipschitzian Nonlinear Systems Admit Global Finite-Time Observers (2009, background): “In the higher dimensional case, Hong et al. in [4] derived continuous state feedback control laws achieving local finite-time stabilization for triangular systems and certain class of nonlinear systems, and in [5] and [ 6 ] constructed finite-time stabilizing laws for the nonlinear systems in normal”
• Distributed finite-time attitude containment control for multiple rigid bodies (2010, unknown): “Control law (5) is motivated by Hong et al. (2002), where regulation of a single robotic manipulator was considered.”
• Finite-time stochastic synchronization of complex networks (2010, result): “There were some results on finite-time stability [26–29] and chaos synchronization of master–slave types [23–25,30].”
• Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time (2017, background): “Homogeneous finite time local control for triangular systems and a certain class of nonlinear systems was developed by Hui, Haddad, and Bhat (2008), Hong (2002), Hong and Jiang (2006a); Hong, Wang, and Cheng (2006b).”
• Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems (2022, methodology): “The existing adaptive finite/prescribed-time control results are mainly divided into two types: one is that the system states converge to the neighborhood of the equilibrium point or defined compact within a finite-time (see [40], [41]); the other is that the system states converge to the equilibriu”
• Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems (2021, background): “[1]–[3] focused on the finite-time stability for continuous but non-Lipschitzian autonomous systems, discrete-time linear systems, and a class of nonlinear systems in p normal form, respectively.”