Exploiting emergent collective behaviours in complex large MEMS systems

利用复杂大型 MEMS 系统中的突发集体行为

• 批准号: EP/D00036X/1
• 负责人: David Lowe
• 金额: $ 30.79万
• 依托单位: Aston University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD00036X%2F1
• 关键词: Exploiting; emergent; collective; behaviours; complex

Using micro/nanotechnology it is possible to create systems containing millions of interacting, non-linear and potentially variable components in areas of less than one square centimetre. Furthermore, since these systems are 'sensors' they must be designed to predictably respond to an input despite the fact that each component is so small and sensitive that it can be significantly perturbed by unavoidable random fluctuations in its local environment. These characteristics suggest that some of the most complex systems we currently need to understand, model and control are these physically very small, super-massive arrays of miniature electronic and mechanical devices. Conventionally the design of a system containing miniature devices is dramatically simplified by isolating the components of the system. However, this simplification is bought at the expense of suppressing potential beneficial system properties and behaviours. It is both essential and timely to break away from the constraints arising from this conventional design process. Researchers from the Universities of Aston, Birmingham and Oxford therefore propose to work together to develop a very novel approach to system design that exploits rather than minimises the complexity of supermassive arrays of miniature devices. This new design strategy will be developed by combining expertise in mathematics, physics, mechanics and microelectronics to investigate collective and non-linear effects in arrays of micromechanical sensors. The information that these investigations generate will then be included in new models of this type of sensor that will then be used to predict and exploit system level properties of arrays of these sensors. The result will lead to revolutionary new types of systems.

使用微/纳米技术，可以在不到一平方厘米的面积内创建包含数百万个相互作用、非线性和潜在可变组件的系统。此外，由于这些系统是“传感器”，因此它们必须设计为可预测地响应输入，尽管每个组件都非常小且敏感，以至于可能会受到局部环境中不可避免的随机波动的显着干扰。这些特征表明，我们目前需要理解、建模和控制的一些最复杂的系统是物理上非常小的、超大的微型电子和机械设备阵列。传统上，通过隔离系统的组件，可以大大简化包含微型设备的系统的设计。然而，这种简化是以抑制潜在的有益系统属性和行为为代价的。摆脱这种传统设计过程的限制既必要又及时。因此，来自阿斯顿大学、伯明翰大学和牛津大学的研究人员提议共同开发一种非常新颖的系统设计方法，该方法利用而不是最小化超大规模微型设备阵列的复杂性。这种新的设计策略将通过结合数学、物理、机械和微电子学方面的专业知识来开发，以研究微机械传感器阵列中的集体和非线性效应。这些研究生成的信息将包含在此类传感器的新模型中，然后用于预测和利用这些传感器阵列的系统级属性。其结果将带来革命性的新型系统。

项目成果

The critical properties of two-dimensional oscillator arrays

二维振荡器阵列的关键特性

• DOI: http://dx.10.1088/1751-8113/41/32/324021
• 发表时间: 2008
• 期刊: Mathematical and Theoretical
• 作者: Migliorini G

Collective Behaviour in a Square Lattice of Driven Duffing Resonators Coupled to van der Pol Oscillators

与范德波尔振荡器耦合的驱动杜芬谐振器方格中的集体行为

• DOI: http://dx.10.1109/cit.2010.150
• 发表时间: 2010
• 作者: Randrianandrasana M

Emergent Behaviour in Autonomous {MEMS} Systems

自主 {MEMS} 系统中的紧急行为

• 发表时间: 2007
• 作者: G Migliorini

Amplitude response of a unilaterally constrained nonlinear micromechanical resonator

单侧约束非线性微机械谐振器的幅度响应

• DOI: http://dx.10.1049/mnl.2012.0037
• 发表时间: 2012
• 期刊: Micro & Nano Letters
• 影响因子: 1.3
• 作者: Wei X

Affinity Network

亲和力网络

• 发表时间: 2010
• 作者: M Randriandrasana