A STATE SPACE METHOD FOR OPTIMIZATION OF WEAPON SYSTEM DYNAMICS

摘要

A state space method of optimal design of dynamic systems subjected to transient loads is developed and applied. In contrast to the usual nonlinear programming approach of discrediting the time interval and constructing a high dimension nonlinear programming problem, a state space approach is employed which develops the sensitivity analysis and optimization algorithm in continuous state space, resorting to discretization only for efficient numerical integration of differential equations. Comparison of the state space method with the nonlinear programming method is carried out for a nonlinear test problem, in which the state space method requires only one tenth the computing time reported for the nonlinear programming approach.