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A general purpose design scheme of actively controlled smart structures with piezoelectric sensors and actuators is presented in this study.
Firstly, the general purpose design features of the subspace system identification approach and its inherent numerical robustness.
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Designing computer systems around the work to be done is a departure from the dominant approach of general-purpose design, in which machines are built to be capable of handling all kinds of chores and are then programmed to do specific tasks.
Sets of general-purpose design criteria and task specifications are provided and discussed.
Given its general-purpose design, it can be extended to any location.
General-purpose design tools can be applied to a wide variety of design problems, but the large number of unique states they are able to produce makes it difficult to find results most relevant to a specific design problem.
The focus is on control-oriented identification, but for comparison some general-purpose designs are also considered.
It reviews four generations of ever more powerful general-purpose learning designs in Adaptive, Approximate Dynamic Programming (ADP), which includes reinforcement learning as a special case.
Because the processors are general-purpose ones, designed to handle a range of computing functions, a cluster supercomputer does not always perform at optimum.
AMS-02 is a general-purpose spectrometer designed to measure cosmic rays and gamma rays in near-Earth orbit.
We present a hybrid system spanning a fixed-function microarchitecture and a general-purpose microprocessor, designed to amplify the throughput and decrease the power dissipation of collision detection relative to what can be achieved using CPUs or GPUs alone.
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