Workshop on Stochastic Theory and Adaptive Control, University of Kansas, September 26-28, 1991

因为在控制理论的大多数应用中， 只有有限的，不精确的物理信息， 现象来制定数学模型， 对未知系统的控制可能是 控制理论的基本问题。 往往在这些 描述有扰动，未建模 动态或不准确性，可以有效地 被建模为噪声，因此存在随机性问题， 自适应控制 建议举办一次讲习班， 随机理论和自适应控制。 组装 随机控制领域的顶尖研究人员， 滤波和随机自适应控制。 这些人之间的交流会暴露 自适应控制中的各种方法和技术 从随机分析中，这应该是重要的， 解决自适应控制中的基本问题。 在 此外，PI打算邀请一些毕业生 学生提供额外的接触， 这个研究领域。

Since in most applications of control theory there is only limited, imprecise information of the physical phenomena to formulate the mathematical models, the control of an unknown system is probably the most basic problem in control theory. Often in these descriptions there are perturbations, unmodelled dynamics or inaccuracies that can be effectively modelled as noise so there is the problem of stochastic adaptive control. It is proposed to have a workshop on stochastic theory and adaptive control. The assembling of leading researchers on stochastic control and filtering and stochastic adaptive control is planned. The communication among these people will expose various methods in adaptive control and techniques from stochastic analysis that should be important in the solution of basic problems in adaptive control. In addition, the PI's intend to invite a number of graduate students to provide them with additional exposure to this area of research.