Optimal periodic patrolling trajectories of UUVs guarding a channel
MetadataShow full item record
Given a number of patrollers, the channel patrol problem consists of determining the periodic trajectories that the patrollers must trace out so as to maximize the probability of detection of the intruder. We formulate this problem as an optimal control problem. We assume that the patrollers' sensors are imperfect and that their motions are subject to turn-rate constraints, and that the intruder travels straight down a channel, with constant speed. Using discretization of time and space, we approximate the optimal control problem with a large-scale nonlinear programming problem which we solve to obtain an approximately stationary solution and a corresponding optimized trajectory for each patroller. In numerical tests, we obtain new insight--not easily obtained using geometric calculations--into efficient patrol trajectory designs for up to two patrollers in a narrow channel where interaction between the patrollers is unavoidable due to their limited turn rate.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Rodriguez, Alfredo (Monterey, California. Naval Postgraduate School, 1997-12);A proposed U.S. Navy ship to ship, line of sight, high data rate communication system is analyzed. Because of the limited bandwidth available in the UHF band, it is desired to reuse a frequency channel at the shortest ...
Optimal Bayesian estimation of the state of a probabilistically mapped memory-conditional Markov process with application to manual Morse decoding Bell, Edison Lee (Monterey, California. Naval Postgraduate School, 1977-09);This dissertation investigates the problem of automatic transcription of the hand-keyed' Morse signal. A unified model for this signal process transmitted over a noisy channel is shown to be a system in which the state of ...
Automated satellite cloud analysis: a multispectral approach to the problem of snow/cloud discrimination Allen, Robert C. Jr. (1987-06);An algorithm is developed and evaluated for discriminating among clouds, snow cover and clear land. The multispectral technique uses daytime images of AVHRR channels 1 (0.63^m). 3 (3.7jim) and 4 (11.0[im). Reflectance ...