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On sensitivity minimization for linear control system

  • Andrzej W. Olbrot
  • Andrzej Sikora
Optimal Control: Ordinary And Delay Differential Equations
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 22)

Abstract

A linear control system
is considered.
$$x(t){\mathbf{ }} \in {\mathbf{ }}R^n {\mathbf{ }}u(t){\mathbf{ }} \in {\mathbf{ }}R^m {\mathbf{ }}y(t){\mathbf{ }} \in {\mathbf{ }}R^p {\mathbf{ }}r{\mathbf{ }} \in \Omega \subset {\mathbf{ }}R^q$$
The goal is to find a feedback
$$x(t){\mathbf{ }} \in {\mathbf{ }}R^n {\mathbf{ }}u(t){\mathbf{ }} \in {\mathbf{ }}R^m {\mathbf{ }}y(t){\mathbf{ }} \in {\mathbf{ }}R^p {\mathbf{ }}r{\mathbf{ }} \in \Omega \subset {\mathbf{ }}R^q$$
such that appropriately defined sensitivity of system
,
is minimal. A theorem on the existence of least sensitive feedback is presented and computational algorithms are considered.

Keywords

Feedback Controller Uncertain Parameter Stability Margin Pole Placement Minimax Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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5. References

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    Ly, U.L., Cannon, R.H., Jr., “A Direct Method for Designing Robust Optimal Control Systems,” Proc. AIAA Guidance and Control Conference, Palo Alto, CA, August 1978, pp. 440–448.Google Scholar
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    Vinkler, A., Wood, L.J., “Multistep Guaranted Cost Control of Linear Systems with Uncertain Parameter”, Accepted for publ. in Journal of Guidance and Control.Google Scholar
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Copyright information

© Springer-Verlag 1980

Authors and Affiliations

  • Andrzej W. Olbrot
    • 1
  • Andrzej Sikora
    • 1
  1. 1.Politechnika WarszawskaInstytut AutomatykiWarszawa

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