Abstract
This paper proposes a new method for model predictive control (MPC) of nonlinear systems to calculate stability region and feasible initial control profile/sequence, which are important to the implementations of MPC. Different from many existing methods, this paper distinguishes stability region from conservative terminal region. With global linearization, linear differential inclusion (LDI) and linear matrix inequality (LMI) techniques, a nonlinear system is transformed into a convex set of linear systems, and then the vertices of the set are used off-line to design the controller, to estimate stability region, and also to determine a feasible initial control profile/sequence. The advantages of the proposed method are demonstrated by simulation study.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
D. W. Clarke. Advances in Model-based Predictive Control, Oxford University Press, Oxford, UK, 1994.
J. M. Maciejowski. Predictive Control with Constraints, Pearson Education, UK, 2001.
D. Q. Mayne, J. B. Rawlings, C. V. Rao, P. O. M. Scokaert. Constrained Model Predictive Control: Stability and Optimality. Automatica, vol. 36, no. 6, pp. 789–814, 2000.
C. E. Garcis, D. M. Prett, M. Morar. Model Predictive Control: Theory and Practice—A Survey, Automatica, vol. 25, no. 3, pp. 335–348, 1989.
R. R. Bitmead, M. Gevers, V. Wertz. Adaptive Optimal Control: The Thinking Man’s GPC, Prentice-Hall, New York, 1990.
J. W. Lee, W. H. Kwon, J. Choi. On Stability of Constrained Receding Horizon Control with Finite Terminal Weighting Matrix. Automatica, vol. 34, no. 12, pp. 1607–1612, 1998.
D. Q. Mayne, H. Michalska. Receding Horizon Control of Nonlinear Systems. IEEE Transactions on Automatic Control, vol. 35, no. 7, pp. 814–824, 1990.
H. Michalska, D. Q. Mayne. Robust Receding Horizon Control of Constrained Nonlinear Systems. IEEE Transactions on Automatic Control, vol. 38, no. 11, pp. 1623–1633, 1993.
H. Chen, F. Allgower. A Quasi-infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability. Automatica, vol. 34, no. 10, pp. 335–348, 1998.
W. H. Chen, D. J. Balance, J. O’Reilly. Model Predictive Control of Nonlinear Systems: Computational Burden and Stability. IEE Proceedings-Control Theory and Applications, vol. 147, no. 4, pp. 387–394, 2000.
W. H. Chen. Maximisation of Feasibility/Stability Regions of Model Predictive Control for Constrained Linear Systems. IEE Proceedings-Control Theory and Applications, vol. 149, no. 3, pp. 243–246, 2002.
W. H. Chen, X. B. Hu. Model Predictive Control Algorithm with Nonlinear Terminal Control. International Journal of Robust and Nonlinear Control, vol. 14, no. 4, pp. 327–339, 2004.
R. Sepulchre, M. Jankovic, P. V. Kokotovic. Constructive Nonlinear Control, Springer-Verlag, Berlin, 1996.
S. Boyd, L. E. Ghaoui, E. Feron, V. Balakrishnan. Linear Matrix Inequalities in System and Control Theory. The Society for Industry and Applied Mathematics, Philadelphia, 1994.
W. H. Chen, D. J. Balance, J. O’Reilly. On Attraction Domain of Model Predictive Control of Nonlinear Systems with Input/State Constraints. Technical Report: CSC99009, [Online], Available: http://www.mech.gla.ac.uk/Research/Control/Publications/Reports/csc99009.ps, Nov. 2006.
L. Magni, L. Sepulchre. Stability Margins of Nonlinear Receding-horizon Control via Inverse Optimality. Systems & Control Letters, vol. 32, no. 4, pp. 241–245, 1997.
S. J. Qin, T. A. Badgwell. An Overview of Nonlinear Model Predictive Control Applications. In Proceedings of International Symposium on Nonlinear Model Predictive Control: Assessment and Future Directions, Ascona, Switzerland, pp. 128–145, 1998.
J. A. Rossirer, J. R. Gossner, B. Kouvaritakis. Infinite Horizon Stable Predictive Control. IEEE Transactions on Automatic Control, vol. 41, no. 10, pp. 1522–1527, 1996.
E. Mosca, J. Zheng. Stable Receding of Predictive Control. Automatica, vol. 28, no. 6, pp. 1229–1233, 1992.
H. Demircioglu, D. W. Clarke. CGPC with Guaranteed Stability Properties. IEE Proceedings-Control Theory and Applications, vol. 139, no. 4, pp. 371–380, 1992.
Y. I. Lee, B. Kouvaritakis. Linear Matrix Inequalities and Polyhedral Invariant Sets in Constrained Robust Predictive Control. International Journal of Robust and Nonlinear Control, vol. 10, no. 13, pp. 1079–1090, 2000.
P. O. M. Scokaert, J. B. Rawlings, E. S. Meadows. Discrete-time Stability with Perturbations: Application to Model Predictive Control. Automatica, vol. 33, no. 3, pp. 463–470, 1997.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported by an Overseas Research Students Award to Xiao-Bing Hu.
Xiao-Bing Hu received his B.Sc. degree in aviation electronic engineering at Civil Aviation Institute of China, Tianjin, China, in 1998, the M.Sc. degree in automatic control engineering at Nanjing University of Aeronautics & Astronautics, Nanjing, China, in 2001, and the Ph.D. degree in aeronautical and automotive engineering at Loughborough University, UK, in 2005. He is currently a research fellow in Department of Informatics at Sussex University, UK.
His research interests include predictive control, artificial intelligence, air traffic management, and flight control.
Wen-Hua Chen received his M. Sc and Ph. D. degrees from Department of Automatic Control at Northeast University, China, in 1989 and 1991, respectively. From 1991 to 1996, he was a lecturer in Department of Automatic Control at Nanjing University of Aeronautics & Astronautics, China. He held a research position and then a lectureship in control engineering in Center for Systems and Control at University of Glasgow, UK, from 1997 to 2000. He holds a senior lectureship in flight control systems in Department of Aeronautical and Automotive Engineering at Loughborough University, UK.
He has published one book and more than 80 papers on journals and conferences. His research interests include the development of advanced control strategies and their applications in aerospace engineering.
Rights and permissions
About this article
Cite this article
Hu, XB., Chen, WH. Model predictive control of nonlinear systems: Stability region and feasible initial control. Int J Automat Comput 4, 195–202 (2007). https://doi.org/10.1007/s11633-007-0195-0
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/s11633-007-0195-0