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    • 4. 发明申请
    • Electronic circuit for controlling a movement by a fuzzy cellular architecture
    • 用于通过模糊蜂窝架构来控制移动的电子电路
    • US20020111700A1
    • 2002-08-15
    • US09727302
    • 2000-11-29
    • STMicroelectronics S.r.l
    • Paolo ArenaMarco BranciforteGiovanni Di BernardoLuigi Occhipinti
    • G06G007/00G05B013/02
    • B25J9/161G05B2219/34065G06N7/04
    • A method of controlling the movements of a multi-actuator electromechanical system having a matrix of locally interconnected analog cells associated therewith is provided. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model includes a fuzzy circuit architecture which may be implemented in an integrated circuit with VLSI CMOS technology that generates and controls a reaction diffusion mechanism typical of auto-waves using a fuzzy neural network. The fuzzy neural network defines the functional relationships that may duplicate simultaneous reaction diffusion equations. The duplication of the simultaneous reaction diffusion equations is provided using two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cells. An oscillatory type dynamic is imposed on each cell where two dynamic processes having different kinetic characteristics coexist.
    • 提供了一种控制具有与其相关联的局部互连的模拟单元的矩阵的多致动器机电系统的运动的方法。 每个单元代表模糊推理规则模型的硬件实现。 该模型包括模糊电路架构,其可以在VLSI CMOS技术的集成电路中实现,该技术生成并控制使用模糊神经网络的自动波的典型反应扩散机制。 模糊神经网络定义了可能重复同时反应扩散方程的功能关系。 使用两组模糊规则,以语言方式处理单元的状态变量来提供同时反应扩散方程的重复。 对具有不同动力特性的两个动态过程共存的每个单元施加振荡型动态。
    • 7. 发明授权
    • Electronic circuit for controlling a movement by a fuzzy cellular architecture
    • 用于通过模糊蜂窝架构来控制移动的电子电路
    • US06728687B2
    • 2004-04-27
    • US09727302
    • 2000-11-29
    • Paolo ArenaMarco BranciforteGiovanni Di BernardoLuigi Occhipinti
    • Paolo ArenaMarco BranciforteGiovanni Di BernardoLuigi Occhipinti
    • G06G700
    • B25J9/161G05B2219/34065G06N7/04
    • A method of controlling the movements of a multi-actuator electro-mechanical system having a matrix of locally interconnected analog cells associated therewith is provided. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model includes a fuzzy circuit architecture which may be implemented in an integrated circuit with VLSI CMOS technology that generates and controls a reaction diffusion mechanism typical of auto-waves using a fuzzy neural network. The fuzzy neural network defines the functional relationships that may duplicate simultaneous reaction diffusion equations. The duplication of the simultaneous reaction diffusion equations is provided using two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cells. An oscillatory type dynamic is imposed on each cell where two dynamic processes having different kinetic characteristics coexist.
    • 提供了一种控制具有与其相关联的局部互连的模拟单元的矩阵的多致动器机电系统的运动的方法。 每个单元代表模糊推理规则模型的硬件实现。 该模型包括模糊电路架构,其可以在VLSI CMOS技术的集成电路中实现,该技术生成并控制使用模糊神经网络的自动波的典型反应扩散机制。 模糊神经网络定义了可能重复同时反应扩散方程的功能关系。 使用两组模糊规则,以语言方式处理单元的状态变量来提供同时反应扩散方程的重复。 对具有不同动力特性的两个动态过程共存的每个单元施加振荡型动态。