Output tracking between operating points for nonlinear processes: Van de Vusse example

@article{Perez2002OutputTB,
  title={Output tracking between operating points for nonlinear processes: Van de Vusse example},
  author={Hector Perez and Babatunde A. Ogunnaike and Santosh Devasia},
  journal={Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)},
  year={2002},
  volume={4},
  pages={3281-3286 vol.4}
}
Inversion-based approach finds an input that exactly tracks a desired output trajectory - the method has been recently extended to nonlinear nonminimum phase systems using stable-inversion techniques. Exact-output tracking inputs can be found by the stable-inversion method provided the system can be maintained near (local to) an equilibrium point of the system. However, inversion for the nonlocal case is more challenging because inverse solutions may not exist, for example, when the equilibrium… CONTINUE READING

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 28 CITATIONS

Robust H∞ control for Van de Vusse reactor via T-S fuzzy bilinear scheme

  • Expert Syst. Appl.
  • 2011
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A New Observer Design for Fuzzy Bilinear Systems with Unknown Inputs

VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Design of an active Fault Tolerant Control based on the fuzzy bilinear observer for nonlinear systems

  • 10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13)
  • 2013
VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Robust $H_{\infty}$ Fuzzy Control for a Class of Uncertain Discrete Fuzzy Bilinear Systems

  • IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
  • 2008
VIEW 3 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Asymptotic Tracking for Nonlinear Systems using Fictitious Inputs

  • Proceedings of the 44th IEEE Conference on Decision and Control
  • 2005
VIEW 3 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

H∞ Filter Design for Fuzzy Bilinear Systems with Unknown Inputs and Disturbances

  • 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • 2018
VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS