Greyscales is a method for producing estimates of guided missile miss distance and missile warhead probability of kill. The associated computer code has been written to be portable and capable of being incorporated into a variety of simulations. The code has already been integrated into the Weapon Systems Division MECA and DUEL missile engagement simulations. It can also be integrated into larg...

In this paper, the stable region for missile guidance loop employing an integrated proportional navigation guidance law is derived. The missile guidance loop is formulated as a closed-loop control system consisting of a linear time-invariant feed-forward block and a time-varying feedback gain. By applying the circle criterion to the system, a bound for the time of flight up to which stability c...

The main problem in bringing autonomy to any vehicle lies in the design of a suitable guidance law. For a truly autonomous operation, the vehicle needs to have a reliable Navigation, Guidance and Control (NGC) system of which the guidance system is the key element, which generates suitable trajectories to be followed. In this survey paper, various guidance laws found in the literature and their...

The U.S. Navy is currently developing its next-generation cruise missile, the Tactical Tomahawk, which improves upon current versions by its ability to be retargetedin flight against emergent time-critical targets. In this study, we developed an advanced operator interfaceprototype for monitoring, controlling and retargeting the Tactical Tomahawk missile and empirically tested the effect of mis...

A fuzzy predictive pursuit guidance is proposed as an alternative to the conventional methods. The purpose of this scheme is to obtain a stable and fast guidance. The noise effects must be reduced in homing missile guidance to get an accurate control. An aerodynamic missile model is simulated first and a fuzzy predictive pursuit control algorithm is applied to reduce the noise effects. The perf...

A recently developed approach to the control of uncertain nonlinear systems uses neural network technology to improve upon feedback linearization. In the proposed architecture, a neural network adaptively cancels linearization errors through on-line learning. One feature which distinguishes this approach is its use of Lyapunov stability theory to guarantee closed-loop stability. In this paper, ...

Aiming at the poor reliability of targets destroy for single base surface-to-air-missile weapon system, and the existing shortcomings of anti-destroying ability for missile networking system, this paper research on system level surface-to-air-missile defense system network features. On the analysis of the missile launching area boundary, the kill probability, the operational time and threat lev...

Reliability is one of the main salient assets of modern weapon systems. The estimation of the failure rate of the major subsystems of military defence systems is of utmost importance in the design of any country's overall defence system. The results of a study to estimate the failure rate of the main computer system of the launcher of a shore to sea missile launcher is presented in this study. ...

An application of reinforcement learning to a linear-quadratic, differential game is presented. The reinforcement learning system uses a recently developed algorithm, the residual-gradient form of advantage updating. The game is a Markov decision process with continuous time, states, and actions, linear dynamics, and a quadratic cost function. The game consists of two players, a missile and a p...