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In this paper, a PID controller is applied to control the temperature to a proposed model derived of the Newton’s law of cooling. The control problem considers a second-order model obtained that the rate at which the temperature of a body decreases with time is proportional to the difference in temperature between the body and its surroundings. This model represents a mathematical function the device's output for each possible input with initial conditions zero.

Data validation of the article "A framework for assessing, comparing and predicting the performance of autonomous RFID-based inventory robots for retail"

This document shows time-domain thermoreflectance (TDTR) measurements on blanket phase change multilayers [Fig. S1] and electro-thermal simulations of confined PCM cells [Fig. S2]. The extracted thermal resistance per unit area obtained from our measured TDTR signal ratio vs. time delay in Fig. S1 reveals that Bi2Te3 layer only introduces ~13% additional thermal resistance in the PCM stack. On the other hand, Fig. S2 shows the electro-thermal simulation of confined cells with 4 nm Bi2Te3 and 50 nm GST layer with a BE (TiN) diameter of 150 nm in Fig.

In this data set, a power transistor’s uncertainty added S-parameters, its estimated S-parameters, uncertainty added S-parameters of a power amplifier circuit, uncertainty added S-parameters of a cascaded amplifier, and amplifier’s design files are presented. Sumitomo’s GaAs-FET FLL57MK is used for the measurements and design. Cadence AWR is used for the power amplifier design. The power amplifier is designed for 2.4 GHz, using S-parameters.