基于模糊目标和模糊约束的满意控制

研究在预测控制框架下进行模糊决策问题，提出一种基于模糊目标和模糊约束的预测控制方法。其目标函数以决策者的控制要求和最终控制的满意度来表示，比传统的加权方差具有更多的自由度；与基于二次型性能指标的预测相比，该方法可使系统设计更加灵活。仿真结果表明了该方法的有效性。

Satisfactory Control Based on Fuzzy Goals and Fuzzy Constraints

The problem of fuzzy decision making in predictive control is investigted. Fuzzy goals and constraints are translated into predictive control. The final decision can be explained in terms of partial decisions and degree of satisfaction for the criteria. The use of fuzzy goals and fuzzy constraints in predictive control allows for a more flexible aggregation of the control objectives than the usual weighting sum of squared errors. Compared to the standard quadratic objective function with the fuzzy decision making approach, the designer has more freedom in specifying the desired process behavior. The simulation results demonstrate the effectiveness of the method.