Local Stabilization of Nonlinear Discrete-Time Systems Subject to Amplitude Bounded Disturbances*. Issue 1 (July 2017)
- Record Type:
- Journal Article
- Title:
- Local Stabilization of Nonlinear Discrete-Time Systems Subject to Amplitude Bounded Disturbances*. Issue 1 (July 2017)
- Main Title:
- Local Stabilization of Nonlinear Discrete-Time Systems Subject to Amplitude Bounded Disturbances*
- Authors:
- Klug, Michael
Castelan, Eugenio B.
Coutinho, Daniel - Abstract:
- Abstract: The stabilization problem of nonlinear discrete-time systems subject to amplitude bounded disturbances by means of Takagi-Sugeno (T-S) fuzzy models is considered in this paper. The linear matrix inequality (LMI) approach is applied to design a state feedback fuzzy controller such that the system trajectories are ultimately bounded, that is, the state trajectory starting in a set of admissible initial conditions is guaranteed to converge in finite time to a nearby region of the state space origin. Numerical examples are considered to illustrate the approach demonstrating the effectiveness of the proposed technique for the control synthesis of nonlinear discrete-time systems.
- Is Part Of:
- IFAC-PapersOnLine. Volume 50:Issue 1(2017)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 50:Issue 1(2017)
- Issue Display:
- Volume 50, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 50
- Issue:
- 1
- Issue Sort Value:
- 2017-0050-0001-0000
- Page Start:
- 8472
- Page End:
- 8477
- Publication Date:
- 2017-07
- Subjects:
- nonlinear systems -- fuzzy T-S models -- local stability -- amplitude bounded disturbances -- state feedback
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2017.08.818 ↗
- 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:
- 8263.xml