A real-time framework for model predictive control of continuous-time nonlinear systems

被引:0
|
作者
DeHaan, Darryl [1 ]
Guay, Martin [1 ]
机构
[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada
关键词
nonlinear model predictive control; real-time optimization; optimal control; piecewise constant control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A new formulation of continuous-time nonlinear model predictive control (NMPC) is developed which accounts for dynamics associated with minimization of the optimal control problem. In doing so, it is shown that the stability of NMPC can be maintained for fast processes in which the computation time is significant with respect to the process dynamics. Our framework generalizes recent results for piecewise constant NMPC of continuous-time processes.
引用
收藏
页码:957 / 962
页数:6
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