摘要
研究了连续时间约束非线性系统模型预测控制设计.利用控制Lyapunov函数离线构造单变量可调预测控制器,再根据性能指标在线优化可调参数,其中该参数近似于闭环系统的"衰减率".同时,控制Lyapunov函数保证了算法的可行性和闭环系统的稳定性.最后通过数值仿真验证了该算法的有效性.
The design of model predictive control is studied for constrained continuous-time nonlinear systems. A univariate tunable predictive controller is constructed offline by using control Lyapunov function. The adjustable parameter which is similar to the ＂decay rate＂ of the closed-loop system is computed online by optimalized performance indexes. Meanwhile, the feasibility of this algorithm and stability of the closed-loop system are guaranteed by control Lyapunov fubction. Finally, a numerical simulation illustrates the validity of the algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2008年第11期1301-1304,1310,共5页
Control and Decision
基金
国家自然科学基金项目(60674029)
国家863计划项目(2007AA04Z195)
