天津工业大学学报2017，Vol.36Issue(2)：69-76,8.DOI:10.3969/j.issn.1671-024x.2017.02.013
基于LS-SVM的仿射非线性系统的最优跟随控制
Optimal tracking control for affine nonlinear systems based on LS-SVM
摘要
Abstract
A data-driven approach based on least squares support vector machine (LS-SVM) is proposed to design optimal tracking controller for affine nonlinear systems. According to the information of the system and discrete data of the desired trajectory, the LS-SVM model is employed to obtain the approximate solution of optimal tracking trajec-tory and optimal tracking controller, which allows the system to achieve the desired dynamic performance. The numerical simulation examples are provided to verify that the proposed approach is an intelligent control method with optimization and learning ability and the system can track the desired trajectory in a small error bound.关键词
最小二乘支持向量机/仿射非线性系统/最优跟随控制Key words
least squares support vector machine(LS-SVM)/affine nonlinear system/optimal tracking control分类
信息技术与安全科学引用本文复制引用
张国山,赵毅..基于LS-SVM的仿射非线性系统的最优跟随控制[J].天津工业大学学报,2017,36(2):69-76,8.基金项目
国家自然科学基金资助项目(61473202) （61473202）
