This paper is concerned with a Stackelberg stochastic differential game, where the systems are driven by equation (SDE for short), in which control enters randomly disturbed coefficients (drift and diffusion). The region postulated to be convex. By making use of first-order adjoint (backward equation, BSDE we able establish Pontryagin’s maximum principle leader’s global solution, within adapted...

We present a stochastic model predictive control (SMPC) framework for linear systems subject to possibly unbounded disturbances. State of the art SMPC approaches with closed-loop chance constraint satisfaction recursively initialize nominal state based on previously predicted or measured under some case distinction. improve these initialization strategies by allowing continuous optimization ove...

Aiming at the attitude control problem of spacecraft in capturing non-cooperative target process, a dual tracking robust adaptive controller is designed. Firstly, bounded virtual angular velocity designed for kinematics equations to guarantee that converges zero quickly. Secondly, new constructed based on barrier Lyapunov function ensure error between and real bounded. The physical constraint s...