On the optimal detection of an underwater intruder in a channel using unmanned underwater vehicles

التفاصيل البيبلوغرافية
العنوان: On the optimal detection of an underwater intruder in a channel using unmanned underwater vehicles
المؤلفون: Elijah Polak, Hoam Chung, S. Shankar Sastry, Johannes O. Royset
المصدر: Naval Research Logistics (NRL). 58:804-820
بيانات النشر: Wiley, 2011.
سنة النشر: 2011
مصطلحات موضوعية: Mathematical optimization, Discretization, ComputingMethodologies_SIMULATIONANDMODELING, Computer science, Computation, Ocean Engineering, Management Science and Operations Research, Optimal control, Nonlinear programming, Search theory, Control theory, Modeling and Simulation, Trajectory, Underwater, Communication channel
الوصف: Given a number of patrollers that are required to detect an intruder in a channel, the channel patrol problem consists of determining the periodic trajectories that the patrollers must trace out so as to maximized 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 for one, two, and three underwater patrollers, an underwater intruder, different trajectory constraints, several intruder speeds and other specific parameter choices, we obtain new insight—not easily obtained using simply geometric calculations—into efficient patrol trajectory design under certain conditions for multiple patrollers in a narrow channel where interaction between the patrollers is unavoidable due to their limited turn rate. © 2011 Wiley Periodicals, Inc. Naval Research Logistics 58: 804-820, 2011
تدمد: 0894-069X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c366344db67d0ce007636023355e1dcaTest
https://doi.org/10.1002/nav.20487Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........c366344db67d0ce007636023355e1dca
قاعدة البيانات: OpenAIRE