This paper studies cooperative mission planning for multi-unmanned aerial vehicle (UAV) swarms in obstacle-cluttered environments, with particular attention to mission feasibility and communication-topology resilience. Considering that task assignment and waypoint selection directly affect the inter-UAV communication graph, a communication topology resilience-guided (CTR) method is proposed by introducing algebraic connectivity as an explicit topology metric. The method first performs topology-guided one-to-one task assignment using simulated annealing, jointly considering normalized distance, obstacle risk, and algebraic connectivity. It then selects topology-aware key waypoints according t... More >

On-orbit refueling of sun-synchronous-orbit (SSO) satellite clusters requires effective deployment of fuel stations (FSs). To this end, this paper investigates the deployment optimization problem of fuel stations for SSO clusters by considering orbital geometry, satellite-to-station assignment, and refueling mission feasibility. A \(J_2\)-aware optimization framework is proposed, in which a particle swarm optimizer searches for optimal fuel-station orbital parameters and satellite assignments. For each candidate deployment, a deterministic mission evaluator is employed to estimate natural alignment opportunities, transfer requirements, and fuel consumption. The proposed approach considers th... More >

This paper presents an event-triggered attitude control method for an underactuated spacecraft with only two bounded body-axis torques. Gyroscopic coupling supplies the missing control action: two periodic angular-rate references generate the average gyroscopic rate product required to regulate the unactuated axis. A relative-plus-absolute event condition updates the bounded torque command, while a zero-order hold and a timeout provide implementable inter-event intervals. An elementary energy argument establishes asymptotic stability of the explicitly defined nominal averaged local error model, while a nonlinear simulation assesses the complete implementation. Under a 2 N$\cdot$m torque lim... More >

Lyapunov functions underpin the stability analysis and controller synthesis for aerospace vehicles, from spacecraft attitude control to autonomous flight systems and UAV swarm coordination. This review discusses the development of computational Lyapunov function synthesis methods. Within this scope, it traces the evolution from traditional Sum-of-Squares (SOS) programming to artificial intelligence symbolic discovery technologies, prompted by the increasing complexity of nonlinear systems. Specifically, the following stages can be identified: computational relaxation methods constrained by polynomial templates; data-driven paradigms leveraging neural network-based empirical approximations; a... More >

Aiming at the interrupt storm performance bottleneck existing in high-speed gyro attitude signal acquisition of aerospace vehicles, an embedded heterogeneous multi-core data acquisition system based on Xilinx ZYNQ-7000 SoC is proposed for inertial measurement unit (IMU) gyro signal sampling. On the hardware layer, a sensor data interface IP conforming to AXI4-Stream protocol is designed in programmable logic (PL) to collect high-frequency gyro original signals, and an AXI DMA controller builds a wideband direct peripheral-DDR transmission channel to realize zero-copy data writing, greatly reducing processor resource occupation under continuous inertial attitude sampling. On the software laye... More >

As orbital swarms grow toward populations of tens to hundreds, long-term maintenance changes character. We argue that it is distinct from reconfiguration or trajectory planning, defined by two requirements: it is perpetual, and it must be low-frequency, because every active maneuver arc is stolen from the payload's working time. Against these requirements the three dominant paradigms: centralized planning, distributed reactive control, and configuration design-then-maintain, fail in qualitatively different ways. Two of these failures are structural, properties of how the problem is posed; only the third is fixable. We therefore contend that scalable swarm maintenance will be achieved primari... More >

Flapping-wing flight has long inspired bio-inspired aerial robots because of its extraordinary aerodynamic efficiency and maneuverability. Although substantial progress has been achieved in understanding unsteady aerodynamic mechanisms, most existing frameworks remain centered on idealized periodic wing motions and cycle-averaged propulsion. Recent studies increasingly suggest that transient asymmetries and multi-frequency perturbations, traditionally regarded as disturbances, can actively reorganize vortex dynamics and enhance aerodynamic performance. These findings imply that biological flight may rely not solely on stable periodic propulsion, but on continuous adaptation to evolving flow... More >

This paper investigates prescribed performance control (PPC) using an advanced barrier function (ABF) based adaptive super-twisting control scheme with non-fragility. The specialty of the proposed scheme is that it removes the error transformation process, and therefore simplifies the design of PPC. Furthermore, the ABF is combined with an online adaptation law to solve the problem of fragility inherent to the traditional PPC. The proposed method is robust to actuator faults, unknown initial states, and sudden disturbances. The stability of the system is proved via the Lyapunov framework. Finally, experiments on a two-degree-of-freedom (2-DOF) helicopter platform are conducted to verify the... More >