From the 1 of 4 linked papers with an AI index.
4 papers
Bang-Bang Evasion: Its Stochastic Optimality and a Terminal-Set-Based Implementation
Liraz Mudrik, Yaakov Oshman
The paper studies how a target can optimally evade a missile in a planar engagement under imperfect information and bounded controls, proving that bang‑bang maneuvers remain optima…
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…
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…
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…