Interactor structure estimation for adaptive control of discrete-time multivariable nondecouplable systems
Interactor structure estimation for adaptive control of discrete-time multivariable nondecouplable systems
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DOI：
10.1016/0005-1098(93)90060-7
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发表时间：
1993-05
期刊：
影响因子：
--
通讯作者：
Y. Mutoh;R. Ortega
中科院分区：
文献类型：
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作者：
Y. Mutoh;R. Ortega
我们感兴趣的是，在不引入附加时滞的情况下，用降低复杂性的控制器自适应控制不可解耦的离散多变量系统。我们针对以下问题提出了解决方案：首先，给出了一种结合被控对象先验信息的方法，以减少可调参数的数量。为此，我们提出了一种从植物马尔可夫参数的一般知识估计交互作用器结构的算法。其次，针对具有非平凡时滞结构的最小相位系统，提出了一种全局收敛的自适应控制器。利用可匹配的模型和被控对象的马尔可夫参数，给出了多变量系统时滞结构的一个完备的初等推导。
We are interested in this paper in adaptively controlling nondecouplable discrete-time multivariable systems with controllers of reduced complexity and without introducing additional delays in the loop. We provide a solution to the following problems: first, give a procedure to incorporate plant prior information to reduce the number of adjustable parameters. To this end, we propose an algorithm for the estimation of the interactor structure from generic knowledge of the plant Markov parameters. Second, present a globally convergent adaptive controller for minimum phase systems with nontrivial delay structure. Also, we give a self-contained elementary derivation of the delay structure of multivariable systems in terms of matchable models and the plant Markov parameters.