Stability of Stochastic Model Predictive Control for Schrödinger Equation with Finite Approximation
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33087
Stability of Stochastic Model Predictive Control for Schrödinger Equation with Finite Approximation

Authors: Tomoaki Hashimoto

Abstract:

Recent technological advance has prompted significant interest in developing the control theory of quantum systems. Following the increasing interest in the control of quantum dynamics, this paper examines the control problem of Schrödinger equation because quantum dynamics is basically governed by Schrödinger equation. From the practical point of view, stochastic disturbances cannot be avoided in the implementation of control method for quantum systems. Thus, we consider here the robust stabilization problem of Schrödinger equation against stochastic disturbances. In this paper, we adopt model predictive control method in which control performance over a finite future is optimized with a performance index that has a moving initial and terminal time. The objective of this study is to derive the stability criterion for model predictive control of Schrödinger equation under stochastic disturbances.

Keywords: Optimal control, stochastic systems, quantum systems, stabilization.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1128115

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2352

References:


[1] A. Assion, T. Baumert, M. Bergt, T. Brixner, B. Kiefer, V. Seyfried, M. Strehle and G. Gerber, Control of Chemical Reactions by Feedback-Optimized Phase-Shaped Femtosecond Laser Pulses, Science, Vol. 282, 1998, pp.919-922.
[2] T. Brixner, N.H. Damrauer, P. Niklaus and G. Gerber, Photoselective Adaptive Femtosecond Quantum Control in the Liquid Phase, Nature, Vol. 414, 2001, pp.57-60.
[3] T. Weinacht, J. Ahn and P. Bucksbaum, Controlling the Shape of a Quantum Wavefunction, Nature, Vol. 397, 1999, pp.233-235.
[4] H. Rabitz, R. de Vivie-Riedle, M. Motzkus and K. Kompa, Whither the Future of Controlling Quantum Phenomena?, Science, Vol. 288, 2000, pp.824-828.
[5] L. I. Schiff, Quantum Mechanics, Mcgraw-Hill College, 3rd Edition, 1968.
[6] D. J. Griffiths, Introduction to Quantum Mechanics, Prentice Hall, 2nd Edition, 2005.
[7] M. Mirrahimi, P. Rouchon and G. Turinici, Lyapunov control of bilinear Schr¨odinger equations, Automatica, Vol. 41, 2005, pp.1987-1994.
[8] K. Beauchard, J.-M. Coron, M. Mirrahimi and P. Rouchon, Implicit Lyapunov Control of Finite Dimensional Schr¨odinger Equations, Systems & Control Letters, Vol. 56, 2007, pp.388-395.
[9] M. Mirrahimi and R. Van Handel, Stabilizing Feedback Controls for Quantum Systems, SIAM Journal on Control and Optimization, Vol. 46, 2007, pp.445-467.
[10] X. Wang and S. G. Schirmer, Analysis of Effectiveness of Lyapunov Control for Non-Generic Quantum States, IEEE Transactions on Automatic Control, Vol. 55, 2010, pp.1406-1411.
[11] B.-Z. Guo and K.-Y. Yang, Output Feedback Stabilization of a One-Dimensional Schr¨odinger Equation by Boundary Observation With Time Delay, IEEE Transactions on Automatic Control, Vol. 55, 2010, pp.1226-1232.
[12] M. Krstic, B.-Z. Guo and A. Smyshlyaev, Boundary Controllers and Observers for the Linearized Schr¨odinger Equation, SIAM Journal on Control and Optimization, Vol. 49, 2011, pp.1479-1497.
[13] D. Alessandro and M. Dahleh, Optimal Control of Two-Level Quantum Systems, IEEE Transactions on Automatic Control, Vol. 46, 2001, pp.866-876.
[14] L. Baudouina and J. Salomonb, Constructive Solution of a Bilinear Optimal Control Problem for a Schr¨odinger Equation, Systems & Control Letters, Vol. 57, 2008, pp.453-464.
[15] S. Grivopoulos and B. Bamieh, Optimal Population Transfers in a Quantum System for Large Transfer Time, IEEE Transactions on Automatic Control, Vol. 53, 2008, pp.980-992.
[16] T. Hashimoto, Y. Yoshioka, T. Ohtsuka, Receding Horizon Control with Numerical Solution for Thermal Fluid Systems, Proceedings of SICE Annual Conference, pp. 1298-1303, 2012.
[17] T. Hashimoto, Y. Yoshioka, T. Ohtsuka, Receding Horizon Control with Numerical Solution for Spatiotemporal Dynamic Systems, Proceedings of IEEE Conference on Decision and Control, pp. 2920-2925, 2012.
[18] T. Hashimoto, Y. Yoshioka and T. Ohtsuka, Receding Horizon Control for Hot Strip Mill Cooling Systems, IEEE/ASME Transactions on Mechatronics, Vol. 18, No. 3, pp. 998-1005, 2013.
[19] T. Hashimoto, Y. Yoshioka and T. Ohtsuka, Receding Horizon Control With Numerical Solution for Nonlinear Parabolic Partial Differential Equations, IEEE Transactions on Automatic Control, Vol. 58, No. 3, pp. 725-730, 2013.
[20] T. Hashimoto, Y. Takiguchi and T. Ohtsuka, Receding Horizon Control for High-Dimensional Burgersf Equations with Boundary Control Inputs, Transactions of the Japan Society for Aeronautical and Space Sciences, Vol. 56, No.3, pp. 137-144, 2013.
[21] T. Hashimoto, Y. Takiguchi and T. Ohtsuka, Output Feedback Receding Horizon Control for Spatiotemporal Dynamic Systems, Proceedings of Asian Control Conference, 2013.
[22] R. Satoh, T. Hashimoto and T. Ohtsuka, Receding Horizon Control for Mass Transport Phenomena in Thermal Fluid Systems, Proceedings of Australian Control Conference, pp. 273-278, 2014.
[23] T. Hashimoto, Receding Horizon Control for a Class of Discrete-time Nonlinear Implicit Systems, Proceedings of IEEE Conference on Decision and Control, pp. 5089-5094, 2014.
[24] T. Hashimoto, Optimal Feedback Control Method Using Magnetic Force for Crystal Growth Dynamics, International Journal of Science and Engineering Investigations, Vol. 4, Issue 45, pp. 1-6, 2015.
[25] T. Hashimoto, R. Satoh and T. Ohtsuka, Receding Horizon Control for Spatiotemporal Dynamic Systems, Mechanical Engineering Journal, Vol. 3, No. 2, 15-00345, 2016.
[26] T. Hashimoto, I. Yoshimoto, T. Ohtsuka, Probabilistic Constrained Model Predictive Control for Schr¨odinger Equation with Finite Approximation, Proceedings of SICE Annual Conference, pp. 1613-1618, 2012.
[27] T. Hashimoto, Probabilistic Constrained Model Predictive Control for Linear Discrete-time Systems with Additive Stochastic Disturbances, Proceedings of IEEE Conference on Decision and Control, pp. 6434-6439, 2013.
[28] T. Hashimoto, Computational Simulations on Stability of Model Predictive Control for Linear Discrete-time Stochastic Systems, International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol. 9, No. 8, pp. 1385-1390, 2015.
[29] T. Hashimoto, Conservativeness of Probabilistic Constrained Optimal Control Method for Unknown Probability Distribution, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, Vol. 9, No. 9, pp. 11-15, 2015.
[30] T. Hashimoto, A Method for Solving Optimal Control Problems subject to Probabilistic Affine State Constraints for Linear Discrete-time Uncertain Systems, International Journal of Mechanical and Production Engineering, Vol. 3, Issue 12, pp. 6-10, 2015.
[31] T. Hashimoto, Solutions to Probabilistic Constrained Optimal Control Problems Using Concentration Inequalities, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, Vol. 10, No. 10, pp. 441-446, 2016.
[32] S. Boucheron, G. Lugosi and P. Massart Concentration Inequalities: A Nonasymptotic Thepry of Independence, Oxford University Press, 2013.
[33] J. Crank and P. Nicolson, A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type, Advances in Computational Mathematics, Vol. 6, 1996, pp. 207-226.
[34] B. Øksendal, Stochastic Differential Equations: An Introduction with Applications, Springer, 6th edition, 2010.
[35] J. Nocedal and S. J. Wright, Numerical Optimization, Springer Series in Operation Research and Financial Engineering, Springer, 2006.
[36] L. E. Ghaoui and S. I. Niculescu, Advances in Linear Matrix Inequality Methods in Control, Society for Industrial and Applied Mathematics, 1987.
[37] T. Hashimoto, T. Amemiya and H. A. Fujii, Stabilization of Linear Uncertain Delay Systems with Antisymmetric Stepwise Configurations, Journal of Dynamical and Control Systems, Vol. 14, No. 1, pp. 1-31, 2008.
[38] T. Hashimoto, T. Amemiya and H. A. Fujii, Output Feedback Stabilization of Linear Time-varying Uncertain Delay Systems, Mathematical Problems in Engineering, Vol. 2009, Article ID. 457468, 2009.
[39] T. Hashimoto and T. Amemiya, Stabilization of Linear Time-varying Uncertain Delay Systems with Double Triangular Configuration, WSEAS Transactions on Systems and Control, Vol. 4, No.9, pp.465-475, 2009.
[40] T. Hashimoto, Stabilization of Abstract Delay Systems on Banach Lattices using Nonnegative Semigroups, Proceedings of the 50th IEEE Conference on Decision and Control, pp. 1872-1877, 2011.
[41] T. Hashimoto, A Variable Transformation Method for Stabilizing Abstract Delay Systems on Banach Lattices, Journal of Mathematics Research, Vol. 4, No. 2, pp.2-9, 2012.
[42] T. Hashimoto, An Optimization Algorithm for Designing a Stabilizing Controller for Linear Time-varying Uncertain Systems with State Delays, Computational Mathematics and Modeling, Vol.24, No.1, pp.90-102, 2013.