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.

针对一类具有随机扰动，非仿射气动特性和全状态约束的滑转（STT）导弹，提出了一种新颖的全状态约束随机自适应综合制导控制方案。通过引入几个四阶Barbara Lyapunov函数（BLF），可以保证不会违反随机闭环系统所需的状态约束。借助于平均值定理和神经网络逼近，可以处理非仿射空气动力学特性。此外，通过使用多个双曲正切函数并估计不确定性的上限，可以消除由随机干扰和未知目标操纵所引起的不利影响。基于李雅普诺夫理论证明了闭环系统的随机稳定性。数值仿真结果表明了该算法的有效性和优越性。