Optimal Control Using Functional Type SIRMs Fuzzy Reasoning Method

Author(s):  
Takashi Mitsuishi ◽  
Yasunari Shidama
2013 ◽  
Vol 823 ◽  
pp. 485-488
Author(s):  
Ying Jie Zhong ◽  
Wei Sheng Zhong

Single parameter alarm system have the defects of high false positives, frequent alarm and weak abilities to comprehensively analysis the parameters because abnormalities usually occur in the water quality monitoring. As a result, this paper designs an alarm system to monitor the process that can intelligently analysis parameters combined with the duration of the alarm by using fuzzy reasoning method. Besides, the alarm output is divided into several levels, and corresponding services will be triggered by the alarm output in different levels. At the same time, the operators can get the detailed information of the alarm in the shortest time and take the valid control strategies. Finally, the system will achieve the optimal control with safety.


2020 ◽  
pp. 107-116
Author(s):  
Cutberto Romero-Melendez ◽  
Leopoldo Gonzalez-Santos ◽  
David Castillo-Fernandez

The aim of this paper is to study the problem of controlling the stochastic evolution of a two-level quantum system in the presence of two randomly fluctuating electromagnetic fields, given by a Wiener process. The system is modeled by the stochastic Schr¨odinger equation dependent on time. We set up the quantum optimal control problem by choosing a cost functional type Bolza. By applying the Pontryagin Maximum Stochastic Principle to an extended Hamiltonian, we express the stochastic optimal controls in terms of the co-state of the system. To solve numerically the resulting stochastic differential equations we propose an iterative algorithm using the Euler-Maruyama method. Finally, we obtain the optimal trajectories on the Bloch sphere.


2001 ◽  
Vol 120 (5) ◽  
pp. A652-A653
Author(s):  
Y HIRATA ◽  
S MAEDA ◽  
Y MITUNO ◽  
M AKANUMA ◽  
T KAWABE ◽  
...  

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