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Intelligent algorithms for H/sub /spl infin//-optimal placement of actuators and sensors in structural control

机译:用于H / sub / spl infin //-在结构控制中优化放置执行器和传感器的智能算法

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Four algorithms are described to search and find spatial configuration for the placement of a finite number of actuators and sensors on a continuous flexible structure to reduce deformations in the structures to a minimum in H/sub /spl infin// sense. The computational cost of the optimal mapping search is reduced through four techniques: 1) the computationally expensive goal function based on the complete H/sub /spl infin// design is replaced by a two-step hybrid function, which performs a computationally inexpensive pass-fail test and proceeds to the complete H/sub /spl infin// design only if the test was passed; 2) a target H/sub /spl infin// norm used in the mentioned pass-fail test is adjusted based on the already evaluated mappings in order to increase the number of failed tests and reduce the number of complete H/sub /spl infin// designs; 3) the exhaustive search as the basic search technique is replaced by a more intelligent genetic algorithm; and 4) the search is implemented on a parallel computer. The algorithms are benchmarked for two test cases: a model of a simply supported beam, and a model of the UCLA large space structure.
机译:描述了四种算法,以搜索和找到在连续的柔性结构上放置有限数量的致动器和传感器的空间配置,以将结构中的变形减小到H / sub / spl infin //的最小值。最佳映射搜索的计算成本通过以下四种技术降低:1)基于完整H / sub / spl infin //设计的,计算量大的目标函数被两步混合函数替代,该函数执行计算量少的过程-测试失败,仅在通过测试后才可进行完整的H / sub / spl infin //设计; 2)根据已经评估的映射调整在上述通过/失败测试中使用的目标H / sub / spl infin //规范,以增加失败测试的次数并减少完整的H / sub / spl infin的次数//设计; 3)穷举搜索作为基本搜索技术被更智能的遗传算法所取代; 4)搜索是在并行计算机上实现的。该算法针对两个测试案例进行了基准测试:一个简单支撑梁的模型和一个UCLA大空间结构的模型。

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