A framework integrates particle-based fixed-lag smoothing and semi-Markov maneuver modeling with a generalized guidance law to explicitly account for time-varying estimation delays in stochastic interception.
OnOptimalGuidanceforHomingMissiles
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Derives optimal guidance laws incorporating hard time-varying acceleration bounds into LQ control for linear missile and target dynamics, with nonlinear simulations showing improved interception over unbounded and soft-constrained alternatives.
A Bayesian decision theory framework modifies the DGL1 guidance law to incorporate estimation errors, yielding a stochastic law that complies with the generalized separation theorem and uses trajectory shaping for better estimation.
citing papers explorer
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Comprehensive Approach to Directly Addressing Estimation Delays in Stochastic Guidance
A framework integrates particle-based fixed-lag smoothing and semi-Markov maneuver modeling with a generalized guidance law to explicitly account for time-varying estimation delays in stochastic interception.
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Optimal Ground-to-Air Interception with Time-Varying Acceleration Bounds
Derives optimal guidance laws incorporating hard time-varying acceleration bounds into LQ control for linear missile and target dynamics, with nonlinear simulations showing improved interception over unbounded and soft-constrained alternatives.
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Unified Estimation--Guidance Framework Based on Bayesian Decision Theory
A Bayesian decision theory framework modifies the DGL1 guidance law to incorporate estimation errors, yielding a stochastic law that complies with the generalized separation theorem and uses trajectory shaping for better estimation.