Stabilization of constrained uncertain systems by an off-line approach using zonotopes

Stabilization of constrained uncertain systems by an off-line approach using zonotopes

Volume 3, Issue 1, Page No 281-287, 2018

Author’s Name: Walid Hamdia), Wissal Bey, Naceur Benhadj Braiek

View Affiliations

Laboratory of Advanced Systems (L.A.S), Polytechnic School of Tunisia, Carthage University, BP 743,2078 La Marsa, Tunisia

a)Author to whom correspondence should be addressed. E-mail: hamdi.walid987@gmail.com

Adv. Sci. Technol. Eng. Syst. J. 3(1), 281-287 (2018); a  DOI: 10.25046/aj030134

Keywords: Stabilization, Zonotopic invariant sets, Model Predictive Control, Uncertain systems

Share

407 Downloads

Export Citations

In this paper, stabilization of uncertain systems was established using zonotopic sets. The obtained state feedback control laws are computed by an off-line approach reducing computational burdens. The resolution of a robust model predictive control (MPC) allows computing a sequence of state feedback control laws corresponding to a sequence of zonotopic invariant sets. The implemented control laws are then calculated by linear interpolation between the state feedback gains corresponding to the nested pre-computed zonotopic sets. The proposed interpolation with the use of zonotopic sets achieves better control performances.

Received: 30 November 2017, Accepted: 07 January 2018, Published Online: 31 January 2018

  1. Kheawhom and P. Bumroongsri. Interpolation-based robust constrained model predictive output feedback control, in Conference on Control and Automation. June 16-19. Palermo, Italy, 2014. 1. B. Ding, Y. Xi, M. T. Cychowski and T.O.Mahony. Improving off-line approach to robust MPC based-on nominal performance cost, Automatica, vol. 43, No. 1, pp. 158163, 2007.
  2. Liu, S. Feng and M. Ma, Robust MPC for the constrained system with polytopic uncertainty. International Journal of Systems Science, vol. 43, No. 2, pp. 248258, 2012..
  3. Borelli. Constrained optimal control of linear and hybrid systems, vol 290 of Lecture Notes in Control and Information Sciences, Springer, 2010.
  4. H. Nehrir, C. Wang, Modeling and Control of Fuel Cells: Distributed Generation Applications, Wiley-IEEE Press, 2009.
  5. Pornchai and K. Soorathep. An off-line robust MPC algorithm for uncertain polytopic discrete-time systems using polyhedral invariant sets, Journal of Process Control, vol.22, No. 5, pp. 975-983, 2012.
  6. Blanchini and S. Miani.Set-theoretic methods in control.Systems and Control, Foundations and Applications, 2008.
  7. Bemporad. M. Morari, V. Dua. and E. N. Pistikopoulos. The explicit linear quadratic regulator for constrained systems, Automatica, vol. 38, pp. 3-20, 2002.
  8. Bey, Z. Kardous and N. Benhadj Braiek. Stabilization of Constrained uncertain systems by Multi-Parametric Optimization, International Journal of Automation and Control(IJAAC), vol. 10, n. 4, pp. 407-416, Inderscience Enterprises Ltd, 2016.
  9. B. Kurzhanskii and I. Vlyi. Ellipsoidal calculus for estimation and control, Burlhauser, Boston, Massachusets, 1997.
  10. C. Brooms, B. Kouvaritakis, and Y. I. Lee. Constrained MPC for uncertain linear systems with ellipsoidal target sets, Systems and Control Letters, vol. 44, No. 3, pp. 157166, 2011.
  11. Matthias, S. Olaf and B. Martin. Computing reachable sets of hybrid systems using a combination of zonotopes and polytopes, Nonlinear Analysis: Hybrid Systems, vol.4, No. 2,pp. 233-249, 2010.
  12. Casavola, D. Angeli, G. Franze and E.Mosca. An ellipsoidal off-line MPC scheme for uncertain polytopic discretetime systems, Automatica, vol. 44, No. 12, pp. 31133119, 2008.
  13. Wan and M. V. Kothare, An efficient off-line formulation of robust model predictive control using linear matrix inequalities. Automatica, vol. 39, No. 5, pp. 837846, 2003.
  14. Ingimundarson, J. M. Bravo, V. Puig, T. Alamo and P. Guerra. Robust fault detection using zonotope-based setmembership consistency, International journal of adaptive control and signal processing, vol. 23, No. 4, pp. 311330, 2008.
  15. Althoff, O. Stursberg and M. Buss. Computing reachable sets of hybrid systems using a combination of zonotopes and polytopes, Nonlinear Analysis: Hybrid Systems, vol. 4, No. 2, pp. 233249, 2010.
  16. Blesa, V. Puig and J. Saludes. Identification for passive robust fault detection using zonotope-based set-membership approaches, International Journal of Adaptive Control and Signal Processing, vol.25, No.9, pp. 788-812, 2011.
  17. Combastel. A state bounding observer based on zonotopes, In Proceeding of the European Control Conference, 2003.
  18. Stoican, S. Olaru, J. A. De Don and M. M. Seron. Zonotopic ultimate bounds for linear systems with bounded disturbances, In Proceedings of the 18th IFACWorld Congress, Milano, Italy, pp. 92249229, 2011.
  19. Alamo, J. M. Bravo and E. F. Camacho. Guaranteed state estimation by zonotopes, In Proceeding of the 42nd IEEE Conference on Decision and Control, pp. 58315836, 2003.
  20. Combastel. A state bounding observer for uncertain nonlinear continuous-time systems based on zonotopes, In Proceeding of the 44th IEEE Conference on Decision and Control, and the European Control Conference, ECC, pp.72287234, 2005.
  21. T. H. Le, C. Stoica, T. Alamo, E. F. Camacho and D. Dumur. Zonotopic guaranteed state estimation for uncertain systems. Automatica, vol. 49, No. 11, pp.4183424, 2013.
  22. Ben Makhlouf, P. Hansch and S. Kowalewski. Comparison of Reachability Methods for Uncertain Linear Time- Invariant Systems, European Control Conference (ECC) July 17-19 Zrich, Switzerland, 2013.
  23. Lofberg, Yalmip: A toolbox for modeling and optimization in matlab, in Proc. IEEE international symposium on computer aided control systems design, pp. 284289, 2004.

Citations by Dimensions

Citations by PlumX

Google Scholar

Scopus