Abstract
Considering a class of skid-to-turn (STT) missiles with stochastic disturbances, non-affine aerodynamic characteristics and full state constraints, a novel full state constrained stochastic adaptive integrated guidance and control (IGC) scheme is proposed in this paper. By introducing several four-order Barrier Lyapunov functions (BLFs), the required state constraints of the stochastic closed-loop system are guaranteed to be never violated. With the aid of mean value theorem and neural network approximation, the non-affine aerodynamic characteristics can be handled. Moreover, by using several hyperbolic tangent functions and estimating the upper bounds of the uncertainties, the adverse effects caused by stochastic disturbances and unknown target maneuvers can be eliminated. The stochastic stability of the closed-loop system is proven based on Lyapunov theory. Numerical simulations results show the effectiveness and the advantages of the proposed algorithm.
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