Disturbance modeling for offset-free linear model predictive control

By K. Muske, T. A. Badgwell. 2002

483 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/1799af2a329d449c4eac2f3da7ed84404033bd8b

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In Control and Systems Engineering

Citations in the corpus

Predictive Control for Linear and Hybrid Systems (2017, unknown): “Extensive treatment of reference tracking for RHC can be found in in [13, 218, 225, 226, 198].”
Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach (2006, background): “An interested reader can find more details about other possible disturbance models in [30] and [31].”
Offset‐free receding horizon control of constrained linear systems (2005, background): “The role ofd̂ is essential in removing steady-state offset in the presenc e of an unknown persistent disturbance [25, 26] and will be clarified later.”
Nonlinear offset-free model predictive control (2012, background): “Next we provide a very simple proof for offset-free control when nd = p [1, 26, 29].”
Linear offset-free Model Predictive Control (2009, background): “Next we provide a very simple proof for offset-free control when nd = p [1, 26, 29].”
Design and Implementation of Model Predictive Control for Electrical Motor Drives (2009, methodology): “using the information coming from the comparison between the predicted and the actual system output, together with some models of the disturbances acting on the plant [15], [16], or adding some sort of robustness to model predictive control [17], [18].”
Model predictive control: Recent developments and future promise (2014, background): “…when the reference is time-varying but converging asymptotically to a constant has been examined in, inter alia (Chisci & Zappa, 2003; Limon et al., 2008, 2010;Maeder, Borrelli, &Morari, 2009; Maeder & Morari, 2010; Muske & Badgwell, 2002; Pannocchia & Kerrigan, 2005; Pannocchia & Rawlings, 2003).”