An alternative paradigm for control system design
By Zhiqiang Gao, Yi Huang, Jingqing Han. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2001
529 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/682d72e376136d6870519978c86e2bb4ca2fcca3
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In Control and Systems Engineering
Citations in the corpus
- Scaling and bandwidth-parameterization based controller tuning (2003, methodology): “The new PID gains determined from (2.8) are k = 3,k, = 10,kd = .2. Applying a unit step function as the set point, the responses of the original controller and the scaled controller are illustrated in Figure 2.2, demonstrating that the new response is exactly the same as the original scaled by 7=I/w”
- On Validation of Extended State Observer Through Analysis and Experimentation (2012, background): “Several classes of approach are outlined below, including the unknown input observer (UIO) [1,2], the disturbance observer (DOB) [3,4], the perturbation observer (POB) [5], and the extended state observer (ESO) [6–10].”
- Active disturbance rejection control: methodology and theoretical analysis. (2014, background): “Their main ideas and results are summed up in the English references [23–25].”
- A survey of state and disturbance observers for practitioners (2006, background): “Originally, L was a set of nonlinear gains (NESO) [14], [44]–[46] but was greatly simplified with a single tuning parameter [47].”
- A Stability Study of the Active Disturbance Rejection Control Problem by a Singular Perturbation Approach (2009, methodology): “Bounded input and bounded output (BIBO) stability was suggested in [8].”
- On the Control of the Permanent Magnet Synchronous Motor: An Active Disturbance Rejection Control Approach (2014, background): “The fundamental idea in the ADRC is to regard additive endogenous nonlinearities and exogenous disturbances, as lumped unknown signals devoid of any specific state variable structure thus simplifying the state and disturbance estimation tasks (see [11], [13]).”
- Active disturbance rejection control: a paradigm shift in feedback control system design (2006, unknown): “The term was first used in [ 17 ] where his unique ideas were first systematically introduced into the English literature.”
- Stability of active disturbance rejection control for uncertain systems: A Lyapunov perspective (2017, methodology): “where u0 is the new controller of the system (see [2, 7] for further details of this topic).”
- On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics (2007, background): “ADRC, proposed by Han in 1995, is designed to deal with those plants with large amount of uncertainties both in dynamics and external disturbances [23].”
- Active Disturbance Rejection Adaptive Control of Hydraulic Servo Systems (2017, background): “Especially in [20], an active disturbance rejection control (ADRC) strategy was developed to address those plants with large amount of uncertainties both in dynamics and external disturbances [24].”
- Adaptive Robust Control of DC Motors With Extended State Observer (2014, methodology): “To overcome large unstructured uncertainties in accurate tracking control, recently, a robust control strategy called the active disturbance rejection control (ADRC) was developed in [26] given in an English version to deal with those plants with a large amount of uncertainties in both dynamics and ”
- Disturbance-Observer-Based Control and Related Methods—An Overview (2016, background): “To address these issues, Gao refined and proposed the linear and parameterized version of ADRC in 2003 [84].”
- From PID to Active Disturbance Rejection Control (2009, background): “In ADRC, we see a paradigmatic change in feedback control that was first systematically introduced in English in 2001 [8].”
- Generalized Extended State Observer Based Control for Systems With Mismatched Uncertainties (2012, background): “A natural doubt may be what does a designer have to know about the plant in order to build the estimator [12].”