计算机工程与应用2018，Vol.54Issue(13)：236-240,265,6.DOI:10.3778/j.issn.1002-8331.1702-0250
离线椭圆集的非线性模型预测控制算法研究
Nonlinear model predictive control algorithm of offline ellipsoidal set
摘要
Abstract
A new nonlinear time optimal model predictive control paradigm is proposed for a class of nonlinear system with constraints. Firstly, this method of nonlinear linearized based on Jacobian linearization is used to be derive a series of convex optimization problem, and the linearization error determines the upper boundary under Lipschitz conditions. Then it uses dual model strategy, in the case of offline condition step structures a series of ellipsoid sets to describe t step feasible region, balance point of each ellipsoid sets is based on an ellipsoid to choose, according to the ellipsoid sets suitable input, it makes the system stable by online computation. Using a step by step backwards computation method can ensure the feasibility and stability of the iteration, and reduce the computation burden greatly. Numerical examples prove the feasibility of the algorithm.关键词
非线性模型预测控制/时间最优/逐步倒退法/Lipschitz条件Key words
nonlinear model predictive control/time optimal/step by step backwards/Lipschitz condition分类
信息技术与安全科学引用本文复制引用
胡素强,张利民,油振伟..离线椭圆集的非线性模型预测控制算法研究[J].计算机工程与应用,2018,54(13):236-240,265,6.基金项目
国家自然科学基金(No.61304090) （No.61304090）
辽宁省博士科研启动基金(No.201601366). （No.201601366）
