BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:Asia/Jerusalem X-WR-TIMEZONE:Asia/Jerusalem BEGIN:VEVENT UID:0-197@aerospace.technion.ac.il DTSTART;TZID=Asia/Jerusalem:20230403T133000 DTEND;TZID=Asia/Jerusalem:20230403T143000 DTSTAMP:20230323T073343Z URL:https://aerospace.technion.ac.il/events/optimal-estimation-and-decisio n-in-stochastic-guidance/ SUMMARY:Optimal Estimation and Decision in Stochastic Guidance DESCRIPTION:Lecturer:Liraz Mudrik\n Faculty:Department of Aerospace Enginee ring\n Institute:Technion – Israel Institute of Technology\n Location:Cl assroom 165\, ground floor\, Library\, Aerospace Eng\n Zoom: https://techn ion.zoom.us/j/91981767571\n Abstract: Perfect-information guidance laws ha ve been known to deliver outstanding performance in simulations complying with their underlying assumptions. However\, as is well known\, realistic guidance of an intercepting missile towards a highly maneuverable target\, using noisy and imperfect measurements\, constitutes a hybrid\, short-hor izon\, nonlinear\, and non-Gaussian stochastic control problem\, and the i mplementation of the guidance law requires an appropriate target state est imator. In such scenarios\, the performance of perfect-information laws ca n degrade gracelessly. We present a novel design paradigm\, which enables the use of perfect-information guidance laws in realistic scenarios by usi ng Bayesian decision theory.\n\nWe first modify the DGL1 guidance law to a ddress estimation errors\, by using Bayesian decision to statistically ran k the costs of all possible guidance decisions. When a unique control cann ot be decided\, this nonuniqueness is harnessed to shape the pursuer's tra jectory to enhance its estimator's performance. We next present an overarc hing tracking and interception strategy\, which is robust against sudden c hanges in the target's evasion maneuver resulting in inevitable estimation  time delays. Whereas the methods presented up to this point follow the s tandard\, miss-distance-minimizing approach\, we next propose an inverse p aradigm whereby\, for a given warhead\, the guidance law maximizes the int erceptor's kill probability against any target. Although the aforementione d methods exhibit significant interception performance improvements\, they are still based on deterministic guidance strategies\, providing no optim ality guarantees. We address this point by presenting a real-time optimal interception strategy for stochastic scenarios based on terminal sets for the linear-Gaussian case with bounded controls.\n\n \;\n Details: \n CATEGORIES:Seminars LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng END:VEVENT BEGIN:VTIMEZONE TZID:Asia/Jerusalem X-LIC-LOCATION:Asia/Jerusalem BEGIN:DAYLIGHT DTSTART:20230324T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:IDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR