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针对含未知干扰系统研究了具有最优抗扰性能的自适应控制问题.利用对象参数的先验知识和量测数据构成可实时更新的非空模型集合,以系统的整体性能指标为辨识准则,在模型集内优化选取最优标称模型,完成对象模型的在线最优辨识.然后根据-1优化设计方法以闭环系统整体性能为指标,在线设计最优闭环控制器.上述两方面结合起来给出了一种最优自适应控制策略.由于辨识准则与控制目标是一致的,文中的方法能够有效地解决自适应系统的性能优化问题和辨识与控制的相互配合等问题,且能给出可验算的性能指标.
The adaptive control problem with the best anti-jamming performance is studied for a system with unknown disturbance. The real-time updated non-empty model set is constructed by using the priori knowledge of object parameters and the measured data. Taking the overall performance index of the system as the identification criterion, Optimize the optimal model in the model set to optimize the online model of the object model.According to -1 optimal design method to the overall performance of the closed-loop system as an indicator, the design of the optimal closed-loop controller online.The above two aspects are combined to give An optimal adaptive control strategy is proposed.Because the identification criteria are consistent with the control objectives, the methods in this paper can effectively solve the problems of performance optimization and identification and control of adaptive systems, Check the performance indicators.