Higher order sliding modes
By Yuri B. Shtessel, Leonid M. Fridman, Alan Solon Ivor Zinober. 2008
686 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/f11644c0b5a03864ef04723eb99a13465496e22b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Jaime A. Moreno
- Yuri B. Shtessel
- Wenjie Dong
- Marisol Osorio
- Christopher Edwards
- Ligang Wu
- Leonid M. Fridman
- Cédric Join
Citations in the corpus
- Adaptive continuous higher order sliding mode control (2016, background): “The advent of so-called higher order sliding modes [Fridman and Levant, 2002] was heralded as ushering-in an era of chattering-free sliding mode controllers.”
- A revised look at numerical differentiation with an application to nonlinear feedback control (2007, background): “, in the recent control literature [2], [3], [4], [14], [15], [16], [17], [18], [19], [23], and the references therein).”
- Command filtered backstepping (2009, methodology): “The authors in [13] approximate the command derivatives using sliding mode filters [12].”
- Chattering Analysis (2007, methodology): “Most known high-order sliding-mode controllers [2]–[4], [11], [12], [19], [22]–[31] satisfy this assumption.”
- Strict Lyapunov Functions for the Super-Twisting Algorithm (2012, methodology): “It is well known [7], [9], [11], [12], that the STA (1) is robustly stable to perturbations globally bounded by”
- Lyapunov Approach for Analysis and Design of Second Order Sliding Mode Algorithms (2011, methodology): “This algorithm is widely used to substitute discontinuous controllers by continuous ones and it has been widely used for control [2, 7, 16, 18, 19, 12] (see also [4], [38], [13]).”
- Extended State Observer-Based Sliding-Mode Control for Three-Phase Power Converters (2017, methodology): “Among these techniques, SMC is suitable for dealing with the nonlinear behavior of the considered system due to its characteristics of insensitivity to external disturbances, system reduction, high accuracy and finite time convergence [17], [18].”