U.S.-Turkey Cooperative Research: Silicon Implementation of Computational Intelligence for Mechatronics

0352771 Wilamowski描述：该项目支持阿拉巴马州奥本大学电气和计算机工程系的Bogdan Wilamowski博士和土耳其伊斯坦布尔Bogazici大学的Okyay Kaynak博士之间的合作研究项目。他们计划将重点放在计算智能系统的硬件实现上，目的是从机电系统识别和控制的角度研究计算智能建筑的实时和片上实现。第二个目标是使用专用VLSI芯片来实施将要开发的控制策略，这些芯片可以是模拟的，也可以是数字的。由于计算机技术的不断发展，预计大规模并行处理和软计算将显着改进传统的计算方法。这种快速增长的自然结果是智能系统领域的出现。机器智能行为由体系结构的灵活性、实现机器结合人类专业知识的能力、推理过程的规律和学习速度决定。这些都是计算智能研究领域的主要组成部分，而该领域的软细分是人工神经网络和模糊推理系统。机器智能的数学能力通常归因于所使用的类神经系统架构和由大规模互联结构产生的容错能力。软计算系统的另一个方面是，它们使用模糊/连续水准仪，而不是“0”和“1”数字水准仪，通过这种方式传递给系统的信息要多得多。传统的数字计算机不能很好地适用于这样的信号处理。计算智能方法通常用于非线性动态系统的辨识和/或控制，其行为通常可以用一组状态变量形式的非线性微分方程组来描述。积分器可以很容易地在硅中实现。硬件实现的难点是实现任意的非线性项。模糊或神经系统是实现这一目的的主要候选者。范围：绩效指标建议将博加齐奇大学在控制和软计算领域的实践、工业和理论经验与奥本大学神经和模糊系统的理论经验协同结合起来。这家土耳其集团在智能识别器和控制器的设计方面拥有相当多的知识和经验。另一方面，美方在神经网络结构、比较特点和VLSI设计方面拥有专业知识。该团队来自美国，在设计VLSI芯片方面拥有理论和实际实施经验。这两个小组的合作有望产生物理上可实现的和有用的产品，并促进通过片上实现的非线性系统的实时辨识和控制过程。该项目的拟议访问和预期结果将为双方带来互利共赢。土耳其方面将受益于美方开发计算智能建筑的芯片实现的经验，而美方将受益于博加齐奇大学已经获得的知识和经验。

0352771 WilamowskiDescription: This project supports a cooperative research project between Dr. Bogdan Wilamowski, Department of Electrical and Computer Engineering, Auburn University, Auburn, Alabama and Dr. Okyay Kaynak, Bogazici University in Istanbul, Turkey. They plan to focus on hardware implementation of computationally intelligent systems, with the aim to investigate real-time and on-chip implementation of computationally intelligent architectures from the point of view of identification and control of mechatronic systems. A second objective is to implement the control strategies to be developed, using dedicated VLSI chips, which can be analog or digital. As a likely result of the on-going development of computer technology it is expected that massive parallel processing and soft computing will significantly enhance traditional computation methods. A natural consequence of this rapid growth is the emergence of the field of intelligent systems. The machine-intelligent behavior is determined by the flexibility of the architecture, the ability to realize machine incorporations of human expertise, laws of inference procedure and the speed of learning. All these are the main constituents of the research area named Computational Intelligence, while the soft subdivisions of the area are artificial neural networks and fuzzy inference systems. The mathematical power of machine intelligence is commonly attributed to the neural-like system architecture used and the fault tolerance arising from the massively interconnected structure. Another aspect of soft computing systems is that instead of "zero" and "one" digital levels, they use fuzzy/continuous levels and in this way much more information is passed through the system. Conventional digital computers are not well suited for such signal processing. Computationally intelligent methodologies are commonly used for identification and/or control of nonlinear dynamic systems, the behavior of which can usually be described by a set of nonlinear differential equations in state variable form. Integrators can easily be implemented in silicon. The difficult task in hardware realization is to implement arbitrary nonlinear terms. Fuzzy or neural systems are the prime candidates for that purpose. Scope: The PIs propose to synergistically combine the practical, industrial and theoretical experience at Bogazici University in the area of control and soft computing with theoretical experience in neural and fuzzy systems at Auburn University. The Turkish group has considerable amount of knowledge and experience in the design of intelligent identifiers and controllers. On the other hand, the U.S. side has the expertise in neural network architectures, their comparative characteristics and VLSI design. The group from the USA, has theoretical and actual implementation experience in designing VLSI chips. The co-operation of these two groups is expected to result in physically realizable and useful products and facilitate the procedure of real-time identification and control of nonlinear systems by onchip realization. The project, with the proposed visits and expected outcomes, will bring mutual benefits to both sides. The Turkish side will benefit from the experience of the American side developing on-chip realization of computationally intelligent architectures, whereas the American side will benefit from the knowledge and experience that has already been acquired at Bogazici University.