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- W1954396768 abstract "Considering the strong nonlinearity, wide flight envelope and hard constraints of hypersonic vehicle (HV), we present a multiple model predictive control (MMPC) strategy for the control of HV's large envelope flight. Firstly, we divide the flight envelope of HV into several sub-regions based on gap metric theory. A novel algorithm is then developed to determine the approximated linear model for each sub-region. On this basis, model predictive control with infinite horizon cost is applied to design the sub-region controllers. To guarantee the stability of closed-loop system, we propose a multi-model switching strategy based on dynamic pressure. At last, the tracking performance of MMPC is verified on the hardware in the loop simulation (HLPS) platform dSPACE." @default.
- W1954396768 created "2016-06-24" @default.
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- W1954396768 date "2016-01-01" @default.
- W1954396768 modified "2023-10-17" @default.
- W1954396768 title "Multiple model predictive control for large envelope flight of hypersonic vehicle systems" @default.
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- W1954396768 doi "https://doi.org/10.1016/j.ins.2015.08.033" @default.
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