Control of SISO non-affine-in-control discrete-time systems using Takagi-Sugeno models. Issue 11 (2019)
- Record Type:
- Journal Article
- Title:
- Control of SISO non-affine-in-control discrete-time systems using Takagi-Sugeno models. Issue 11 (2019)
- Main Title:
- Control of SISO non-affine-in-control discrete-time systems using Takagi-Sugeno models
- Authors:
- Guerra, Thierry-Marie
Nguyen, Anh-Tu
Defoort, Michaël - Abstract:
- Abstract: This paper deals with the stabilization problem for single-input-single-output (SISO) non-affine-in-control nonlinear discrete-time systems. Generally, this non-affine-in-control problem leads to algebraic loops and a classical solution consists in using dynamic extensions. Based on Takagi-Sugeno (T-S) quasi-linear parameter varying (quasi-LPV) models, we propose to keep the scheme of the classical LMI-based control design framework, i.e. similar as when the membership functions of the T-S model do not depend on the control input. In particular, some properties of finite time convergence are exploited to "break" the algebraic loop problem. Numerical simulations are provided to demonstrate the interests of the proposed control approach.
- Is Part Of:
- IFAC-PapersOnLine. Volume 52:Issue 11(2019)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 52:Issue 11(2019)
- Issue Display:
- Volume 52, Issue 11 (2019)
- Year:
- 2019
- Volume:
- 52
- Issue:
- 11
- Issue Sort Value:
- 2019-0052-0011-0000
- Page Start:
- 79
- Page End:
- 84
- Publication Date:
- 2019
- Subjects:
- Linear matrix inequality -- non-affine systems -- finite time stability -- dynamic control
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2019.09.121 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12022.xml