Discrete-time robust pole-placement design through global optimization

@inproceedings{Botto2002DiscretetimeRP,
  title={Discrete-time robust pole-placement design through global optimization},
  author={Miguel Ayala Botto and Robert Babu{\vs}ka and Jos{\'e} S{\'a} da Costa},
  year={2002}
}
Abstract A robust pole placement controller design method is presented for discrete-time systems with parametric model uncertainties contained within known bounds. The design methodology is based on the minimization of a cost function by using genetic algorithms. It allows for a thorough assessment of robust performance in addition to robust stability. The effectiveness of this technique is shown for a real-time experimental laboratory-scale helicopter system. Copyright © 2002 IFAC 

Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

Citations

Publications citing this paper.
SHOWING 1-10 OF 14 CITATIONS

Switched system robust control: Pole-placement LMI based approach

VIEW 3 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

LMI Pole Regions for a Robust Discrete-Time Pole Placement Controller Design

VIEW 3 EXCERPTS
CITES BACKGROUND

Robust LMI Based Control of Magnetic Levitation Laboratory Plant

VIEW 1 EXCERPT
CITES BACKGROUND

Robust Pole Placement: DR-regions for Discrete-time Systems

VIEW 1 EXCERPT
CITES RESULTS

Discrete-time robust LMI pole placement for magnetic levitation

VIEW 2 EXCERPTS
CITES BACKGROUND

Development of an algorithm for modal control of SISO linear time-invariant discrete systems

VIEW 1 EXCERPT
CITES METHODS

Robust pole assignment for the control of uncertain nonlinear discrete-time systems

VIEW 1 EXCERPT
CITES METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

Robust pole assignment in uncertain systems

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Pole placement of uncertain discrete systems in the smallest disk by state feedback

VIEW 1 EXCERPT

A note on robust pole placement

VIEW 1 EXCERPT

Robust pole placement in discrete-time systems

  • Marek K. Solak
  • Mathematics, Computer Science
  • Multidim. Syst. Sign. Process.
  • 1994
VIEW 1 EXCERPT

Genetic Algorithms in Search, Optimization, and Machine Learning

  • D. Goldberg
  • AddisonWesley. Reading, MA.
  • 1989
VIEW 1 EXCERPT