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

由于在控制理论的大多数应用中，只有有限的、不精确的物理现象信息来制定数学模型，未知系统的控制可能是控制理论中最基本的问题。通常在这些描述中存在扰动，未建模的动态或不精确，可以有效地建模为噪声，因此存在随机自适应控制的问题。建议举办一个关于随机理论和自适应控制的研讨会。计划召集随机控制、滤波和随机自适应控制方面的主要研究人员。这些人之间的交流将揭示自适应控制的各种方法和随机分析技术，这些方法和技术在解决自适应控制的基本问题中应该是重要的。此外，PI打算邀请一些研究生，为他们提供更多接触这一研究领域的机会。

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.