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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hashimoto, T. Yoshimoto, I. Ohtsuka, T. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Systems Innovation, Osaka University, Toyonaka, Japan (Hashimoto, T.; Yoshimoto, I.; Ohtsuka, T.) |
| Abstract | Recent technological progress has prompted significant interest in developing the control theory of quantum dynamics. Following the increasing interest in the control of quantum systems, this study deals with the control problem of the Schro¨dinger equation under stochastic perturbations. Model predictive control (MPC) is a kind of optimal feedback control, in which the control performance over a finite future is optimized. The objective of this study is to propose a design method of MPC for the Schröinger equation with finite approximation under probabilistic constraints. For this purpose, the two-sided Chebyshev's inequality is applied to successfully handle probabilistic constraints with less computational load. |
| Starting Page | 1613 |
| Ending Page | 1618 |
| File Size | 370734 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467322591 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-20 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | SICE |
| Subject Keyword | Mathematical model Probabilistic logic Equations Stochastic processes Predictive control Chebyshev approximation Quadratic programming Model predictive control Schröinger equation Probabilistic constraint |
| Content Type | Text |
| Resource Type | Article |
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