Command filtered backstepping

By Jay A. Farrell, Marios M. Polycarpou, Manu Sharma, Wenjie Dong. American Control Conference, 2009

1,013 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/57cce7a767eab22e4a9b50843ade4757e8b96a95

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

1. Peng Shi
2. Mou Chen
3. Wenjie Dong
4. Yuanxin Li
5. Shaocheng Tong
6. Jinpeng Yu
7. Haisheng Yu
8. Chenguang Yang

Citations in the corpus

• Dynamic modeling of a hose-drogue aerial refueling system and integral sliding mode backstepping control for the hose whipping phenomenon (2014, background): “(19), hose reeling in/out can be converted to PMSM rotor angular position control.”
• Observer and Command-Filter-Based Adaptive Fuzzy Output Feedback Control of Uncertain Nonlinear Systems (2015, methodology): “The command-filtered backstepping was proposed in [32] and then was extended to the adaptive case for strict-feedback systems in [33].”
• Composite Neural Dynamic Surface Control of a Class of Uncertain Nonlinear Systems in Strict-Feedback Form (2014, methodology): “In [28], command filter design was developed by generating compensating signals to remove the known effect of ( xc i+1 − xd i+1 ) .”
• Event-Based Finite-Time Control for Nonlinear Multiagent Systems With Asymptotic Tracking (2023, methodology): “To solve this problem, the command filter technique was exploited in [24], the main idea of which is to approximate the derivative of the virtual control signals through a command filter.”
• Geometric control and differential flatness of a quadrotor UAV with a cable-suspended load (2013, methodology): “The command derivatives can be computed through a command filtering approach [3], or by carrying out the complex task of analytically computing the derivatives, as is done in the companion paper [7].”
• Command filtered adaptive backstepping (2010, methodology): “Eqn. (22) is a first-order, low-pass filter with unity DC gain and bandwidth parameterized by ωi. Higher order filters can be useful. A second order filter is discussed in [ 8 ].”
• Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output (2018, background): “If the initial values of the command filter are chosen such that |x1i j (t0)| < αi0 jm and |x2i j (t0)| < αi1 jm , it has the same form of the standard command filter [25].”
• Flight Control Design for Small-Scale Helicopter Using Disturbance-Observer-Based Backstepping (2015, methodology): “2(b) where the original CFBS controller shows chattering control signals while those of the disturbance observer based CFBS controller are much smoother.”