权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Novel Ways in Control and Computation: Predictive and Analog

控制和计算的新方法：预测和模拟

基本信息

批准号：
80283926
负责人：
Professor Dr.-Ing. Christian Ebenbauer
金额：
--
依托单位：
Lehrstuhl für Intelligente Regelungssysteme
依托单位国家：
德国
项目类别：
Independent Junior Research Groups
财政年份：
2009
资助国家：
德国
起止时间：
2008-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/80283926?language=en
关键词：
Novel Ways Control Computation Predictive

项目摘要

Control and computation play an increasingly important role throughout science and engineering. Both are enabling technologies. For example, semidefinite programming algorithms, originally developed in the fields of control and optimization, are nowadays important tools in science and engineering. Moreover, it becomes more and more evident that control and computation is a cornerstone in the architecture of living organisms, because information processing, control and computation is often more relevant than the underlying physics. Over the last decades, the interaction between control and computation has been very fruitful. Modern computational methods in control allow nowadays to tackle many challenging problems which could not have been solved without them. On the other hand, methods from control are elementary for the understanding and the development of new computational technologies and numerical algorithms in fields like quantum computation, neuronal networks and analog computation. Despite these fruitful interconnections, many challenges remain in the intersection between control and computation. The long term goal of this research project is to combine and integrate control and computation further in order to understand and to develop solutions for problems where both aspects, control and computation, play a crucial role. To achieve this, we mainly focus in this research project on the following two areas (see also Figure 1): • model predictive control • analog computation. Specifically, the goals of this project include the development of new model predictive control schemes and the use of dynamical systems to solve computational problems in an analog fashion. These problems are representative for typical problems appearing at the intersection between control and computation. Results of this research project might lead to new efficient control schemes for industrial control problems and to new powerful algorithms in numerical mathematics. Furthermore, the results might provide the foundation for the design of new nonlinear analog filters and new analog computational devices with various applications in real-time signal processing and control. The results might also contribute to a better understanding of control and computation in living organisms, as both aspects appear for example in neuronal computation and in genetic regulatory networks.

控制和计算在整个科学和工程中扮演着越来越重要的角色。两者都是使技术成为可能的技术。例如，最初在控制和优化领域发展起来的半定规划算法，现在是科学和工程中的重要工具。此外，越来越明显的是，控制和计算是生物体结构的基石，因为信息处理、控制和计算往往比基础物理更相关。在过去的几十年里，控制和计算之间的相互作用取得了非常丰硕的成果。控制中的现代计算方法使当今能够解决许多具有挑战性的问题，如果没有它们，这些问题是不可能解决的。另一方面，控制的方法对于理解和发展量子计算、神经元网络和模拟计算等领域的新计算技术和数值算法是基本的。尽管有这些卓有成效的相互联系，但在控制和计算之间的交集仍然存在许多挑战。这一研究项目的长期目标是进一步将控制和计算结合起来，以便理解控制和计算这两个方面都起关键作用的问题并开发解决方案。为了实现这一点，我们在本研究项目中主要集中在以下两个方面(另见图1)：·模型预测控制·模拟计算。具体地说，该项目的目标包括开发新的模型预测控制方案，并使用动态系统以模拟方式解决计算问题。这些问题是出现在控制和计算的交叉点上的典型问题。这一研究项目的结果可能会为工业控制问题提供新的有效控制方案，并在数值数学中产生新的强大的算法。研究结果可为设计新的非线性模拟滤波器和在实时信号处理与控制中有广泛应用的新型模拟计算器件提供依据。这些结果也可能有助于更好地理解生物体中的控制和计算，因为这两个方面都出现在例如神经元计算和遗传调控网络中。