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Fault tolerance requires some form of redundancy in time, hardware, or information.
The effectiveness of the methodology is illustrated by means of simulations and real time hardware in the loop experiments.
The design and the control scheme performances in all modes are simulated in MATLAB and validated through real time hardware in loop (HIL) system.
The traditional use of memory and a symmetrical set of registers for storage of temporary results of scientific programs requires more execution time, hardware, and instruction-stream bandwidth than necessary.
For experimental evaluation of the control algorithm in real time, hardware in loop simulation was used, which replaces analogue model of real plant with A/D and D/A converters and PC as a controller.
The time, hardware, and personnel-intensive nature of in-laboratory polysomnography (PSG) are significant in light of the traditional paradigm that utilizes a full night PSG for a diagnostic evaluation and when indicated, another full night for PAP titration.
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The controller is implemented in real-time hardware (Arduino).
Thus, we aimed to present an efficient multiplier-less hardware implementation method for the investigation of real-time hardware CPG (hCPG) networks.
To effectively control this complex robotic system, distributed real-time hardware architecture and modified hierarchical software architecture with Sensor Data Bus (SDB) were used.
Furthermore, it is outlined that the chosen structure of the estimation scheme allows for a very efficient implementation in real-time hardware.
One app worth mentioning is Sony's Smart Connect app, which automatically puts the Z2 on silent when plugged into the mains at night – or at any other time-, hardware- or event-defined quick settings.
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