摘要
本文提出一种用自组织自学习自适应思想解决非线性动力系统控制问题的新方法,在每个小区域(感受野),可以把非线性系统近似展开为线性,由神经元执行控制.各神经元的凝视点、感受野和功能由自组织自学习自适应方法进行调节,大量仿真结果验证了本方法的正确性和实用性。
In this paper a new self-organizing, learning and adaptive method to solve the control problems of nonlinear dynamic systems is proposed. In each small regions (receptive fields), a nonlinear system can be expressed as a linear one and controlled by neurons. The gazing points, receptive fields and control functions of each neurons are regulated in self-organizing learning and adapting way. Several computer simulation examples verify the correctness and feasibility of this method.
出处
《自动化学报》
EI
CSCD
北大核心
1993年第6期678-683,共6页
Acta Automatica Sinica
基金
国家自然科学基金
关键词
非线性系统
神经网络
自适应控制
nonlinear systems
self-organizing neural network
adaptive control.
