9 citations · 11 across the 6 of their papers we have counts for
6 papers
Kill-Probability-Maximization Guidance: Breaking from the Miss-Distance-Minimization Paradigm
Liraz Mudrik, Yaakov Oshman
Classical guidance laws aim at minimizing the miss distance, thus implicitly determining the minimum warhead lethality radius required against nominal targets. However, nonnominal…
Comprehensive Approach to Directly Addressing Estimation Delays in Stochastic Guidance
Liraz Mudrik, Yaakov Oshman
In realistic pursuit-evasion scenarios, abrupt target maneuvers generate unavoidable periods of elevated uncertainty that result in estimation delays. Such delays can degrade inter…
Unified Estimation-Guidance Framework Based on Bayesian Decision Theory
Liraz Mudrik, Yaakov Oshman
Using Bayesian decision theory, we modify the perfect-information, differential-game-based guidance law (DGL1) to address the inevitable estimation error occurring when driving thi…
Bang-Bang Evasion: Its Stochastic Optimality and a Terminal-Set-Based Implementation
Liraz Mudrik, Yaakov Oshman
We address the problem of optimal evasion in a planar endgame engagement, where a target with bounded lateral acceleration seeks to avoid interception by a missile guided by a line…
Double-Opportunity Estimation via Altruism
Nitai Stein, Yaakov Oshman
A novel approach, based on the notion of altruism, is presented to cooperative parameter estimation in a system comprising two information-sharing agents. The underlying assumption…
LMMSE Filtering in Feedback Systems with White Random Modes: Application to Tracking in Clutter
Daniel Sigalov, Tomer Michaeli, Yaakov Oshman
A generalized state space representation of dynamical systems with random modes switching according to a white random process is presented. The new formulation includes a term, in…