控制理论与应用2012，Vol.29Issue(2)：217-224,8.
基于输入输出线性化的连续系统非线性模型预测控制
Continuoustime nonlinear model predictive control with input/output linearization
摘要
Abstract
Obtaining a feasible optimal solution is the key issue in designing the constrained nonlinear predictive con trol. The input/output feedback linearization is a conventional method for this purpose. Because the original linear input constraints are converted to nonlinear and statedependent constraints in this method, it makes the quadratic programming （QP） method inapplicable to obtain an optimal solution. To find the optimal solution for a state-space continuoustime system, we present an iterative quadratic program （QP） method. To guarantee its convergence, another iterative approach that can guarantee a feasible solution over the entire prediction horizon is incorporated. Simulation results of application to a continuous stirred tank reactor （CSTR） demonstrate the effectiveness of the proposed method.关键词
非线性/预测控制/连续系统/输入输出反馈线性化Key words
nonlinear/predictive control/continuoustime system/input/output feedback linearization分类
信息技术与安全科学引用本文复制引用
孔小兵,刘向杰..基于输入输出线性化的连续系统非线性模型预测控制[J].控制理论与应用,2012,29(2):217-224,8.基金项目
国家自然科学基金资助项目 （）
北京市自然科学基金资助项目（4122071）. （）
