Cooperative Attack Strategy of Unmanned Aerial Vehicles in Adversarial Environment

Abstract

This paper addresses the problem of risk in adversarial environments and presents a new attack model in which the cooperative action is considered. The actions of each UAV not only get benefit from attacking targets but also reduce the risk in the environment for other UAVs. The implications of the survival probabilities and the time discount factor in this model are analyzed and the results will help to build the optimal attack strategy. An improved genetic algorithm is applied to quickly build the optimal strategy. Simulation results show that this algorithm provides better solutions than genetic algorithm.

Fault-Tolerant Time-Varying Formation Tracking Control for Unmanned Aerial Vehicle Swarm Systems with Switching Topologies

“…Theorem 1. For UAV swarm systems (1) and (3), if Assumptions 1 and 2 hold, the time-varying formation h i (t) meets the feasibility condition _ h ix (t) − h iv (t) � 0, and there is a positive definite matrix P satisfying inequality (8); the timevarying formation tracking control for the UAV swarm system (1) and (3) with actuator faults and switching topologies can be achieved, by using the control protocol (7) and the adaptive laws (9). Furthermore, the adaptive updating laws α ⌢ i (t) and α i (t) can converge to the same constant ε i (i ∈ 2, 3, .…”

“…Formation control of UAV swarm systems has received extensive attention because it can be wildly applied in many fields, such as surveillance [1], targets search [2], cooperative attack [3], coordinated localization [4], and drag reduction [5]. ere are many classic control strategies used to solve the formation control problem of UAV swarm systems, such as the leader-follower [6], behaviour-based strategy [7], and virtual structure [8].…”

“…e time-varying formation tracking control problem has been solved in [19][20][21], but these papers have not considered the problem of the actuator faults. (3) e relative information of the neighboring UAVs is used to design a completely distributed fault-tolerant tracking control protocol, and a novel adaptive control algorithm is introduced, which can effectively avoid the occurrence of high gains and make the design of the control protocol not rely on the boundary information of actuator faults. e problem of actuator faults is studied in [28,29], but the boundary information of actuator faults is known.…”