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Soft computing simulation design of intelligent control systems in micro-nano-robotics and mechatronics

机译:微型机器人与机电一体化智能控制系统的软计算仿真设计

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The soft computing simulation design methodology of intelligent control system for mobile micronano robots based on modeling of non-linear dissipative equations of robots motion with a minimum entropy production is described. It includes hierarchical levels for description of dynamic behavior of mobile micro-nano-robots based on laws of microphysics, quantum logic of intelligent dynamic behavior of control objects, optimal control of states and dynamic system theory of mechanical motion. The description of a thermodynamic intelligent behavior (with minimum entropy production) of control objects (robots) and their interrelations with Lyapunov stability conditions are introduced. The role of soft computing on the basis of GA with a fitness function as a minimum entropy production for intelligent control of mobile micro-nano-robots is discussed.
机译:描述了一种基于最小熵产生的机器人运动非线性耗散方程建模的移动微纳米机器人智能控制系统的软计算仿真设计方法。它包括基于微观物理学定律的描述移动微型纳米机器人动态行为的层次级别,控制对象的智能动态行为的量子逻辑,状态的最佳控制以及机械运动的动态系统理论。介绍了控制对象(机器人)的热力学智能行为(具有最小的熵产生)的描述以及它们与Lyapunov稳定性条件的相互关系。讨论了基于遗传算法和适应性函数的软计算作为最小熵产生对移动微型纳米机器人的智能控制的作用。

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