We present a new neural architecture which imbeds dynamic programming solutions to solve optimal target-intercept problems. They provide feedback guidance solutions, which are optimal with any initial conditions and time-to-go, for a 2D scenario. The method discussed in this study determines an optimal control law for a system by successively adapting two networks - an action and a critic network. This method determines the control law for an entire range of initial conditions; it simultaneously determines and adapts the neural networks to the optimal control policy for both linear and nonlinear systems. In addition, it is important to know that the form of control does not need to be known in order to use this method

Meeting Name

1995 American Control Conference


Mechanical and Aerospace Engineering

Keywords and Phrases

Dynamic Programming; Feedback; Feedback Guidance; Homing Missile Guidance; Imbeds Dynamic Programming; Missile Guidance; Neural Architecture; Neural Net Architecture; Neural Networks; Neurocontrollers; Optimal Control; Target-Interception

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 1995 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Jan 1995