摘要
为了提高非线性控制模型的稳定性,提出基于期望函数的多响应参数数学模型优化方法.构建多响应参数数学模型的多维空间参数约束特征解,结合期望函数模糊度寻优控制方法进行多响应参数数学建模的稳态特征分析,采用全局有限维特征分解的方法实现多响应参数数学模型的微分方程组构造,采用齐次双曲波动特征分析的方法,实现对多响应参数数学模型的状态特征量约束泛函分析和扰动抑制,在最大期望约束控制下实现多响应参数数学建模优化设计.仿真结果表明,本文设计的多响应参数数学模型的稳定性较高,多响应参数数学模型稳态收敛.
In order to improve the stability of the nonlinear control model,a multi-response parameter mathematical model optimization method based on expectation function is proposed.The multi-dimensional space parameter constrained characteristic solution of the multi-response parameter mathematical model is constructed,and the steady-state characteristic analysis of the multi-response parameter mathematical model is carried out by combining the expected function fuzzy degree optimization control method.The differential equations of the multi-response parameter mathematical model are constructed by using the global finite dimensional characteristic decomposition method,and the homogeneous hyperbolic wave characteristic analysis method is used to realize the multi-response parameter mathematical model.The state characteristic quantity constraint functional analysis and disturbance suppression of the mathematical model are used to realize the multi-response parameter mathematical modeling optimization design under the maximum expectation constraint control.The simulation results show that the multi-response parameter mathematical model designed in this paper has high stability and steady-state convergence.
作者
韦银幕
WEI Yinmu(Department of Information and Electrical Engineering,Guangxi Modern Vocational and Technical College,Hechi Guangxi 547000)
出处
《宁夏师范学院学报》
2021年第1期29-34,共6页
Journal of Ningxia Normal University
基金
2020年度广西高校中青年教师科研基础能力提升项目(2020KY45011).
关键词
期望函数
多响应参数
数学建模
寻优控制
特征分析
Expected function
Multiple response parameters
Mathematical modeling
Optimization control
Feature analysis
