Abstract
We propose a new approach to controlling a discrete linear stationary system with a polyhedral constraint on the state and input. The basic idea is to use interpolation. The control law has both explicit and implicit forms. In the implicit form, at any moment of time, at most two linear programming problems are solved online. In the explicit form, the control law contains piecewise affine and continuous functions of state. This method can be viewed as an alternative to predictive control. We show proofs of recursive realizability and asymptotic stability.
Similar content being viewed by others
References
Maciejowski, J.M., Predictive Control: With Constraints, New York: Prentice Hall, 2002.
Camacho, E.F. and Bordons, C., Model Predictive Control, New York: Springer, 2004.
Rawlings, J.B. and Mayne, D.Q., Model Predictive Control: Theory and Design, Madison: Nob Hill Publishing, 2009.
Gutman, P.-O. and Cwikel, M., Admissible Sets and Feedback Control for Discrete-Time Linear Dynamical Systems with Bounded Controls and States, IEEE Trans. Automat. Control, 1986, vol. 31, no. 4, pp. 373–376.
Bemporad, A., Morari, M., Dua, V., et al., The Explicit Linear Quadratic Regulator for Constrained Systems, Automatica, 2002, vol. 38, no. 1, pp. 3–20.
Olaru, S. and Dumur, D., Avoiding Constraints Redundancy in Predictive Control Optimization Routines, IEEE Trans. Automat. Control, 2005, vol. 50, no. 9, pp. 1459–1465.
Wang, Y. and Boyd, S., Fast Model Predictive Control Using Online Optimization, IEEE Trans. Control Syst. Technol., 2010, vol. 18, no. 2, pp. 267–278.
Johansen, T.A. and Grancharova, A., Approximate Explicit Constrained Linear Model Predictive Control via Orthogonal Search Tree, IEEE Trans. Automat. Control, 2003, vol. 48, no. 5, pp. 810–815.
Jones, C.N. and Morari, M., The Double Description Method for the Approximation of Explicit MPC Control Laws, Proc. 47th IEEE Conf. Decision Control, 2008, pp. 4724–4730.
Nguyen, H.-N., Olaru, S., and Hovd, M., Patchy Approximate Explicit Model Predictive Control, Proc. Int. Conf. Control Automat. Syst. (ICCAS), 2010, pp. 1287–1292.
Nguyen, H.-N., Constrained Control of Uncertain Discrete-Time Systems: An Interpolation Based Approach, PhD Dissertation, Supélec, 2012.
Nguyen, H.-N., Gutman, P.-O., Olaru, S., et al., Explicit Constraint Control Based on Interpolation Techniques for Time-Varying and Uncertain Linear Discrete-Time Systems, Proc. IFAC World Congr., 2011, vol. 18, no. 1, pp. 5741–5746.
Nguyen, H.-N., Gutman, P.-O., Olaru, S., et al., Improved Vertex Control for Time-Varying and Uncertain Linear Discrete-Time Systems with Control and State Constraints, Proc. Am. Control Conf. (ACC), 2011, pp. 4386–4391.
Nguyen, H.-N., Gutman, P.-O., Olaru, S., et al., An Interpolation Approach for Robust Constrained Output Feedback, Proc. 50th IEEE Conf. Decision Control Eur. Control Conf. (CDC-ECC), 2011, pp. 5516–5521.
Gilbert, E.G. and Tan, K.T., Linear Systems with State and Control Constraints: The Theory and Application of Maximal Output Admissible Sets, IEEE Trans. Automat. Control, 1991, vol. 36, no. 9, pp. 1008–1020.
Blanchini, F. and Miani, S., Set-Theoretic Methods in Control, New York: Springer, 2008.
Scibilia, F., Olaru, S., and Hovd, M., On Feasible Sets for MPC and Their Approximations, Automatica, 2010, vol. 47, no. 1, pp. 133–139.
Sui, D., Feng, L., and Hovd, M., Algorithms for Online Implementations of Explicit MPC Solutions, Proc. World IFAC Congr., 2008, vol. 17, no. 1, pp. 3619–3622.
Olaru, S.B. and Dumur, D., A Parameterized Polyhedra Approach for Explicit Constrained Predictive Control, Proc. 43rd IEEE Conf. Decision Control, 2004, vol. 2, pp. 1580–1585.
Seron, M.M., Goodwin, G.C., and Doná, J.A., Characterisation of Receding Horizon Control for Constrained Linear Systems, Asian J. Control, 2003, vol. 5, no. 2, pp. 271–286.
Loechner, V. and Wilde, D.K., Parameterized Polyhedra and Their Vertices, Int. J. Parallel Programming, 1997, vol. 25, no. 6, pp. 525–549.
Dantzig, G., Linear Programming and Extensions, Princeton: Princeton Univ. Press, 1998.
Olaru, S. and Dumur, D., On the Continuity and Complexity of Control Laws Based on Multiparametric Linear Programs, Proc. 45th IEEE Conf. Decision Control, 2006, pp. 5465–5470.
Kvasnica, M., Grieder, P., Baotic, M., et al., Multi-Parametric Toolbox (MPT), in Hybrid Systems: Computation and Control, Berlin: Springer, 2004, pp. 121–124.
Zeilinger, M., Jones, C., and Morari, M., Real-Time Suboptimal Model Predictive Control Using a Combination of Explicit MPC and Online Optimization, IEEE Trans. Automat. Control, 2008, no. 99.
Author information
Authors and Affiliations
Additional information
Original Russian Text © H.-N. Nguyen, P.-O. Gutman, S. Olaru, M. Hovd, 2014, published in Avtomatika i Telemekhanika, 2014, No. 1, pp. 68–89.
Rights and permissions
About this article
Cite this article
Nguyen, H.N., Gutman, P.O., Olaru, S. et al. Control with constraints for linear stationary systems: An interpolation approach. Autom Remote Control 75, 57–74 (2014). https://doi.org/10.1134/S0005117914010044
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0005117914010044