Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach

By Lei Guo, Wen‐Hua Chen. 2005

767 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/5a029360216d23d7e45f9dc32cb05ca45b944584

How researchers see this paper

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In Control and Systems Engineering

1. Mou Chen
2. Shuzhi Sam Ge
3. Peng Shi
4. Shihua Li
5. Jun Yang
6. Gang Tao
7. Lei Guo
8. Wen‐Hua Chen

Citations in the corpus

• Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (2015, methodology): “By using the disturbance observer, the disturbance rejection problem was studied for the MIMO nonlinear system in [31].”
• Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone (2016, background): “The disturbance attenuation and rejection issue were investigated for a class of MIMO nonlinear systems based on the disturbance observer [43].”
• Active disturbance rejection control: methodology and theoretical analysis. (2014, background): “In recent years, the research on DOBC is also active, and the disturbance to be observed has been extended to include the external disturbance which satisfies certain kind of model and part of uncertain nonlinear model of the plant [51].”
• Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems. (2013, methodology): “The disturbance attenuation and rejection problem was investigated for a class of MIMO nonlinear systems using DOBC framework in [33].”
• Disturbance-Observer-Based Control and Related Methods—An Overview (2016, methodology): “In [35], an NDOB was proposed for a class of multi-”
• A survey of state and disturbance observers for practitioners (2006, background): “Systems with unknown and known nonlinear dynamics with linear modeled disturbances [36] and un-modeled disturbances [37] have been studied.”
• Generalized Extended State Observer Based Control for Systems With Mismatched Uncertainties (2012, background): “During the past decades, several elegant approaches had been proposed to estimate disturbances, including the unknown input observer (UIO) [1], the disturbance observer (DOB) [2]–[6],”
• Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer (2013, methodology): “The disturbance attenuation and rejection problem was investigated for a class of multi-input and multi-output (MIMO) nonlinear systems using a disturbance-observer-based control (DOBC) framework in [61].”
• Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation (2015, methodology): “The disturbance attenuation and rejection problem was investigated for a class of MIMO nonlinear systems using a DOBC framework in [50].”
• Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System (2016, background): “The disturbance attenuation and rejection problem was studied for a class of MIMO nonlinear systems with unknown disturbance in [45].”
• An anti-disturbance PD control scheme for attitude control and stabilization of flexible spacecrafts (2012, background): “Different from [ 15 , 20, 21], in this paper the disturbance model is not required so that the proposed controller can be used directly and widely.”