PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

A new procedure for the design of iterative learning controllers using a 2D systems formulation of processes with uncertain spatio-temporal dynamics

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Iterative Learning Control (ILC) is well established in control of linear and nonlinear dynamic systems, both as to underlying theory and experimental validation. This approach specifically aims at applications with the same operation repeated over finite time intervals and reset taking place between subsequent executions (the trials). The main principle behind ILC is to suitably use information from previous trials in selection of the input signal in the current trial with the objective of performance improvement from trial to trial. In this paper, new computationally efficient results are presented for an extension of the ILC approach to the uncertain 2D systems that arise from time and space discretization of partial differential equations. This type of application implies the need to use a spatio–temporal setting for the analysis of the control procedure. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is provided.
Rocznik
Strony
9--26
Opis fizyczny
Bibliogr. 12 poz., il., wykr.
Twórcy
autor
  • Institute of Control and Computation Engineering, University of Zielona Góra, ul. Ogrodowa 3b, 65-246 Zielona Góra, Poland
  • Institute of Control and Computation Engineering, University of Zielona Góra, ul. Ogrodowa 3b, 65-246 Zielona Góra, Poland
  • Institute of Physics, Nicolaus Copernicus University, Grudziądzka 5, 87-100 Toruń, Poland
  • Department of Control Engineering, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 16627 Praha 6, Czech Republic
autor
  • Chair of Mechatronics, University of Rostock, D-18059 Rostock, Germany
autor
  • Chair of Mechatronics, University of Rostock, D-18059 Rostock, Germany
Bibliografia
  • 1. ARIMOTO, S., KAWAMURA, S. & MIYAZAKI, F. (1984) Bettering operations of robots by learning. Journal of Robotic Systems 1(2): 123–140.
  • 2. CICHY, B., GAŁKOWSKI, K. & ROGERS, E. (2012) Iterative learning control for spatio-temporal dynamics using Crank-Nicolson discretization. Multidimensional Systems and Signal Processing 23(1): 185–208.
  • 3. CRANK, J. & NICOLSON, P. (1947) A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. Mathematical Proceedings of the Cambridge Philosophical Society 43: 50–67.
  • 4. FORNASINI, E. & MARCHESINI, G. (1978) Doubly indexed dynamical systems: State-space models and structural properties. Theory of Computing Systems 12(1): 59–72.
  • 5. KACZOREK, T. (1985) Two-dimensional Linear Systems, Lecture Notes in Control and Information Sciences 68, Springer-Verlag, Berlin.
  • 6. KACZOREK, T. (1998) The singular general model of 2D systems and its solution. IEEE Trans. on Automatic Control 33(11): 1060–1061.
  • 7. HŁADOWSKI, Ł., GAŁKOWSKI, K., CAI, Z., ROGERS, E., FREEMAN, C. T. and LEWIN, P. L. (2010) Experimentally supported 2D systems based iterative learning control law design for error convergence and performance. Control Engineering Practice 18 (4): 339–348.
  • 8. KAR, H. & SINGH, V. (2003) Stability of 2-D systems described by the Fornasini-Marchesini first model. IEEE Transactions on Signal Processing 51(6): 1675–1676.
  • 9. LÖFBERG, J. (2004) YALMIP: A Toolbox for Modeling and Optimization in MATLAB. 2004 IEEE International Symposium on Computer Aided Control System Design, Taipei, Taiwan. IEEE, 284–289.
  • 10. MOORE, K. L. & CHEN, Y. Q. (2006) Iterative learning approach to a diffusion control problem in an irrigation application. Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation. IEEE. 1329–1334.
  • 11. RABENSTEIN, R. & TRAUTMANN, L. (2003) Towards a framework for continuous and discrete multidimensional systems. International Journal of Applied Mathematics and Computer Science 13(1): 73–86.
  • 12. STURM, J. F. (2001) Using SeDuMi 1.02, a Matlab toolbox for optimization over symmetric cones (Updated for version 1.05). Available from: http://www. optimization-online.org/DB HTML/2001/10/395.html.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-964de337-36ff-4500-9c31-96aaa259c724
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.