摘要
针对具有不确定性和输入饱和约束的H amm erste in模型,采用两步法预测控制器,首先不考虑约束、非线性和不确定性,得到一个期望的中间变量.然后通过求解非线性代数方程组来处理非线性并通过解饱和来满足约束.采用Lyapunov方法得到了指数稳定条件,并给出了吸引域的计算和调整方法.最后通过仿真实例验证了稳定性结果.
For Hammerstein model with uncertainty and input saturation constraint, a two-step model predictive control technique is adopted. The first step calculates a desired intermediate variable without considering the constraint, nonlinearity and uncertainty. The second step deals with nonlinearity by solving nonlinear algebraic equations and satisfies constraint by desaturation. Lyapunov method is applied to obtain the exponential stability conditions, with the approaches for calculating and tuning the domain of attraction given. The stability results are validated with a simulation example.
出处
《控制与决策》
EI
CSCD
北大核心
2006年第4期457-461,共5页
Control and Decision
基金
国家自然科学基金项目(60504013)
关键词
输入非线性
两步法预测控制
稳定性
吸引域
Input nonlinearity
Two-step model predictive eontrol
Stability
Domain of attraction