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We present an approach for 2D sensor network localization when only bearing measurements are available and no global coordinate frame is known. Our work builds off of the linear constraint given in Kennedy et al. (2012) for sets of nodes that form triangles. We extend that constraint to general networks and present methods for locally optimizing the resulting cost function. We also show how these...
The paper develops an exact linearization by feedback approach for State Dependent Parameter (SDP), Proportional-Integral-Plus (PIP) control. The method is demonstrated using a simple automated belt driven by a DC motor equipped with a single board Reconfigurable Input-Output (sbRIO-9631) card, within a Field Programmable Gate Array (FPGA), and with a real time processor for control. The demonstrator...
We develop a two-dimensional (2-D) superconducting quantum interference filter (SQIF) array based on the recently introduced high-linearity tri-junction bi-SQUIDs (superconducting quantum interference device). Our bi-SQUID SQIF array design is based on a tight integration of individual bi-SQUID cells sharing inductances with adjacent cells. We provide extensive computer simulations, analysis, and...
We present an approach for sensor network localization when provided with a set of angular constraints. This problem arises in camera networks when angles between nearby points can be measured but depth measurements are not readily available. We provide contributions for two different variations on this problem. First, when each node is aware of a global coordinate frame, we present a novel method...
This paper describes a significantly improved method for calculating the harmonic distortion content of active-RC phase shift oscillators. The proposed method introduces the truncatedharmonictransferfunction (THTF) which is related to the two-sinusoidal-inputdescribingfunction (TSIDF) of non-linear control theory. This allows accurate calculation of the distortion terms in oscillator systems...
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