Optimum Midcourse Guidance with Control Dependent Errors

Midcourse guidance law with neural networks

A dual neural network ‘adaptive critic approach’ is used in this study to generate midcourse guidance commands for a missile to reach a predicted impact point while maximizing its final velocity. The adaptive critic approach is based on approximate dynamic programming. The first network, called a ‘critic’, network, outputs the Lagrangian multipliers arising in an optimal control formulation whi...

A Modified Midcourse Guidance Law Based on Genelarized Collision Course

Modified Generalized Explicit Guidance for Midcourse with Near-Zero Lateral Acceleration in Terminal Phase

By appropriately modifying the generalized explicit guidance and developing it further, an optimal midcourse guidance law is proposed in this paper to ensure terminal impact angle constrained engagement of missiles with near-zero lateral acceleration in the terminal phase. This guidance law generates a desired intermediate point in space as well as the desired angles which needs to be achieved ...

Midcourse Trajectory Shaping for Air and Ballistic Defence Guidance Using Bezier Curves

A near-optimal midcourse trajectory shaping guidance algorithm is proposed for both air and ballistic target engagement mission attributes for generic long range interceptor missile. This guidance methodology is based on the maximum final velocity as the objective function and maximum permissible flight altitude as the in-flight state constraint as well as the head-on orientation as the termina...

Information Flow Control with Errors

Information Flow Control is concerned with the correct handling of data with respect to a security policy. A common enforcement technique is annotated type systems. For object-oriented languages, type systems have been developed for class-based languages. The reason for this is that in a class-based language, it is simpler to design a type system that ensures well-typed programs do not result i...