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Enhancement of the Variable Universe of Discourse Control by Hammersley Sequence-Based TP Model Transformation

机译:基于Hammersley序列的TP模型变换的话语控制变量宇宙的增强

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The main results of the paper concern the enhanced tensor product model transformation-based variable universe of discourse controller (EHTPVUD) design, which uses Hammersley sampling method to generate hyper-cube grid for higher order singular value decomposition. Moreover, Hammersley sampling method-based parallel distributed compensation is also proposed as a comparison to the newly proposed variable universe of discourse controller. Error and error derivative are synthesized by the gains which are generated by Hammersley sampling method-based parallel distributed compensation. Then, EHTPVUD is designed based on the error universe of discourse and error derivative universe of discourse. Finally, EHTPVUD is tested by the gantry crane stabilization control problem and gantry crane tracking control problem.
机译:本文的主要结果涉及增强的张量产品模型转换基于话语控制器(EHTPVUD)设计的变换宇宙,它使用Hammersley采样方法为更高阶奇异值分解产生超级立方体网格。此外,还提出了基于HammersLy采样方法的并行分布式补偿作为与新提出的话语控制器的可变宇宙的比较。错误和错误导数由基于Hammersley采样方法的并行分布式补偿产生的增益合成。然后,EHTPVUD是基于话语话语的错误宇宙而设计的话语。最后,EHTPVUD通过龙门鹤稳定控制问题和龙门起重机跟踪控制问题进行测试。

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