Historical data-driven identifier-based optimized integrated guidance and control with impact angle and fov constraints

This paper proposes an impact-angle-constrained integrated guidance and control (IGC) scheme for a strapdown missile intercepting maneuvering target under the seeker field-of-view (FOV) constraint. A target-fixed relative coordinate frame for maneuvering targets is first established to formulate the guidance problem. To compensate for unknown model uncertainties, an online historical data–driven identifier is introduced, which improves estimation accuracy and does not require persistent excitation. A backstepping-based actuator command is then designed to satisfy the impact-angle-constraint, thereby transforming the guidance problem into an optimal regulation problem. Furthermore, within the adaptive dynamic programming framework, an optimized control policy is developed to guarantee closed-loop stability in the presence of model uncertainties. Moreover, a high-order robust control barrier function is incorporated to refine the actuator command and enforce the FOV constraint. Stability analysis shows that the closed-loop system is uniformly bounded and that forward invariance of the admissible FOV set is ensured. Simulation results demonstrate the effectiveness of the proposed IGC strategy.