In this work, we attempt to investigate a luring cooperative guidance strategy for three-player inducer–defender–attacker engagement with field-of-view (FOV) and overload constraints against an attacker with speed advantages under incomplete information. We formulate the three-player inducer–defender–attacker engagement problem as the pursuit–evasion (defender–attacker) game problem. On this basis, an analytical luring cooperative guidance strategy based on backstepping control is proposed to facilitate the defender with zero overloads intercepting the attacker. Additionally, under incomplete information, we offer a parameter delay design approach to delay the unknown parameters and state design. Afterward, an improved adaptive update law is devised to address the incomplete information. The proposed luring cooperative guidance, which incorporates backstepping control and an improved adaptive update law, can guarantee that the defender captures the attacker with zero overloads under luring by the inducer. Additionally, the proposed design adopts the directed communication topology network structure. Finally, we also execute simulations that demonstrate the effectiveness of the designed luring cooperative guidance strategy and reveal that it can be extended to double-hierarchical interception and four-on-two engagement interception.

Aimed at complex distributed no-fly zones avoidance problems, a novel adaptive lateral reentry guidance algorithm is proposed. Firstly, by introducing the improved attractive and repulsive potential fields, an improved artificial potential field method is developed. Combined with the proposed judgment criterion for whether a no-fly zone has been avoided, the proposed improved artificial potential field method effectively solves the reference heading angle determination problem under the constraints of complex distributed no-fly zones. Then, based on the proposed no-fly zone’s threat quantitative evaluation method and the reference heading angle determined by the proposed improved artificial potential field method, the heading corridor is improved to increase its sensitivity to the threat changes of the no-fly zones. Finally, for satisfying the requirements of complex distributed no-fly zones avoidance, a novel guidance logic via improved heading corridor is proposed to update the reference heading corridor adaptively in real time according to the threat and constraint changes of the no-fly zones, and the bank reversal logic is employed to control the lateral motion. The simulation results for nominal and dispersed cases indicate that the proposed guidance algorithm has high robustness, stability, and applicability, and is feasible and effective to deal with the complex distributed no-fly zones avoidance problems.