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Nolan's peer relativity profiling transformations take each observation and assign it a value relative to all other members of the given sub-population. This allows for an observation on different measurement scales to be assigned a measurement on equivalent scales. Once combined with fuzzy logic, nth dimensional mathematics, and bounded within a framework it enables a system of systems analysis approach...
Previous inverse optimal adaptive controllers (IOACs) have been developed that can handle structured (i.e., linear in the parameters (LP)) uncertainty for a particular class of nonlinear systems. A full-state feedback IOAC is developed in the companion Part I paper for Euler-Lagrange systems with an uncertain time varying inertia matrix. In this paper, an output feedback IOAC is developed to asymptotically...
A sufficient condition to solve an optimal control problem is to solve the Hamilton-Jacobi-Bellman (HJB) equation. However, finding a value function that satisfies the HJB equation for a nonlinear system is challenging. Inverse optimal control is an alternative method to solve the nonlinear optimal control problem by circumventing the need to solve the HJB equation. Inverse optimal adaptive control...
Tactical air-to-ground channels present a number of challenges for physical (PHY) layer waveform design including: (i) airborne platform dynamics (i.e., Doppler, frequency offset, jerk, etc.), (ii) benign to severe ground-level multipath, and (iii) partial to full blockage of the line-of-sight (LOS) path. Legacy military waveforms are not sufficiently robust to operate effectively in these severe...
The traffic lighting systems used to regulate today's trafficking system, although an integral part of the system, is inefficient. This inefficiency contributes to the increased cost of transportation while also contributing to the levels of pollution emitted as a result of human transportation needs; in addition to these detriments, this inefficiency also wastes the travelers' time. We strongly believe...
A novel control design is presented for the adaptive control of a general MIMO system with a gradient-based composite adaptive update law. The composite update law is driven by tracking and prediction errors with a fixed adaptation gain. An innovative scheme is developed in a swapping procedure that makes use of the recently developed Robust Integral of the Sign of the Error (RISE) technique to generate...
A method is presented for the detection and classification of New Zealand license plates in real time. The classifier and detector both use a convolutional network which can efficiently be applied to images and is trained using gradient-based learning. The detector has an error rate of less than one percent for individual characters and can find multiple plates in a single image. The classifier has...
This paper describes the autonomous underwater vehicle (AUV) Sirius and presents its participation in a scientific expedition to survey drowned reefs along the shelf edge of the Great Barrier Reef (GBR) in Queensland, Australia. The primary function of the AUV was to provide geo-referenced, high-resolution optical imagery to facilitate validation of seabed habitat characterisation based on acoustic...
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