Matlab/Octave toolbox for structurable and robust output-feedback LQR design
Paper in proceedings, 2018

In this paper, a structurable robust output-feedback infinite horizon LQR design toolbox for Matlab and Octave is introduced. The aim of the presented toolbox is to fill the gap between available toolboxes for Matlab/Octave by extending the standard infinite horizon LQR design (from Matlab/Control System Toolbox, Octave/Control package) to robust and structurable output-feedback LQR design. The toolbox allows to design a robust infinite horizon output-feedback controller in forms like proportional (P), proportional-integral (PI), realizable proportional-integral-derivative (PID), realizable proportional-derivative (PD), realizable derivative (D), dynamic output-feedback (DOF), dynamic output-feedback with integral part (DOFI), dynamic output-feedback with integral and realizable derivative part (DOFID), and dynamic output-feedback with realizable derivative part (DOFD). In addition, the controller structure for all supported controller types is fully structurable. The toolbox relies on Yalmip (A Matlab/Octave Toolbox for Modeling and Optimization) and on linear matrix inequality solvers like SeDuMi, SDPT3, etc. Notions like "simple", "highly customizable", and "user-friendly" have been used and considered as main terms during the development process.

Robust control

Output-feedback

Structured controller.

Linear quadratic regulator

Author

Adrian Ilka

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Preprints of the 3rd IFAC Conference on Advances in Proportional- Integral-Derivative Control

2405-8963 (ISSN)

Vol. 51 4 598-603

3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control
Ghent, Belgium,

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Subject Categories

Aerospace Engineering

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.ifacol.2018.06.161

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5/1/2019 3