High-Purity, Uniform, and Spherical Hafnium Carbide Nanoparticles Derived from a Novel Amorphous Hafnium-Based Metal-Organic Framework Precursor for the Preparation of High-Performance Ceramics. [PDF]
Materials (Basel)Cheng H +9 more
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An Adaptive Unscented Kalman Ilter Integrated Navigation Method Based on the Maximum Versoria Criterion for INS/GNSS Systems. [PDF]
Sensors (Basel)Zhang J, Feng K, Li J, Zhang C, Wei X.
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Feasibility study of hydrogen-ammonia synergistic combustion in scramjets across broad Mach ranges. [PDF]
Nat CommunSong X +6 more
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Moving-Target Tracking in Airport Airside Operations Using AIMM-STUKF. [PDF]
Sensors (Basel)Gao J, Dang Y, Zhu Y, Xue W.
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Research on GNSS/MEMS IMU Array Fusion Localization Method Based on Improved Grey Prediction Model. [PDF]
Micromachines (Basel)Chen Y, Liu J, Qin W, Li C.
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Inverse Simulation for Hypersonic Vehicle Analysis
19th AIAA International Space Planes and Hypersonic Systems and Technologies Conference, 2014 This paper presents the development of an inverse simulation method for hypersonic vehicles and uses the method for design evaluation and trajectory analysis. Inverse simulation is a technique in which the control inputs, required to achieve a desired system output are computed through inversion of the system equations.
Forbes-Spyratos, S. +3 more
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Composite controller design for an airbreathing hypersonic vehicle
Proceedings of the Institution of Mechanical Engineers Part I: Journal of Systems and Control Engineering, 2012In this paper, a tracking control problem for the longitudinal model of an airbreathing hypersonic vehicle subject to external disturbances is investigated. Based on the characteristics of the longitudinal model, the model is divided into two subsystems, including an altitude subsystem and a velocity subsystem. A novel ideal is that, for each subsystem,
Shihua Li, Haibin Sun, Changyin Sun
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Feasibility Detection for Nested Codesign of Hypersonic Vehicles
2023 62nd IEEE Conference on Decision and Control (CDC), 2023Controllability and feasiblity measures are used to determine whether a given system can achieve its specified objective. However, for nonlinear systems with state constraints, the controllable and feasible sets may be highly sensitive to minor perturbations in the system's constraints, initial states and parameters. This becomes particularly important
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