Chidentree Treesatayapun, Sermsak Uatrongjit
Department of Electrical Engineering, North-Chiangmai University, Chiang-Mai, Thailand.
IEEE Trans Biomed Eng. 2006 Nov;53(11):2405-8. doi: 10.1109/TBME.2006.881773.
In this paper, a direct adaptive control for drug infusion of biological systems is presented. The proposed controller is accomplished using our adaptive network called Fuzzy Rules Emulated Network (FREN). The structure of FREN resembles the human knowledge in the form of fuzzy IF-THEN rules. After selecting the initial value of network's parameters, an on-line adaptive process based on Lyapunov's criteria is performed to improve the controller performance. The control signal from FREN is designed to keep in the region which is calculated by the modified Sliding Mode Control (SMC). The simulation results indicate that the proposed algorithm can satisfy the setting point and the robust performance.
本文提出了一种用于生物系统药物输注的直接自适应控制方法。所提出的控制器是通过我们称为模糊规则仿真网络（FREN）的自适应网络来实现的。FREN的结构以模糊IF-THEN规则的形式类似于人类知识。在选择网络参数的初始值后，基于李雅普诺夫准则进行在线自适应过程以提高控制器性能。来自FREN的控制信号被设计为保持在由改进的滑模控制（SMC）计算出的区域内。仿真结果表明，所提出的算法能够满足设定点和鲁棒性能要求。
