This work proposes the application of an iterative learning model predictive control(ILMPC)approach based on an adaptive fault observer(FOBILMPC)for fault-tolerant control and trajectory tracking in air-breathing hype...This work proposes the application of an iterative learning model predictive control(ILMPC)approach based on an adaptive fault observer(FOBILMPC)for fault-tolerant control and trajectory tracking in air-breathing hypersonic vehicles.In order to increase the control amount,this online control legislation makes use of model predictive control(MPC)that is based on the concept of iterative learning control(ILC).By using offline data to decrease the linearized model’s faults,the strategy may effectively increase the robustness of the control system and guarantee that disturbances can be suppressed.An adaptive fault observer is created based on the suggested ILMPC approach in order to enhance overall fault tolerance by estimating and compensating for actuator disturbance and fault degree.During the derivation process,a linearized model of longitudinal dynamics is established.The suggested ILMPC approach is likely to be used in the design of hypersonic vehicle control systems since numerical simulations have demonstrated that it can decrease tracking error and speed up convergence when compared to the offline controller.展开更多
为探究并明确中国翼手目物种多样性状况,本课题组于2022年9月至2023年7月,在湖南省怀化市、邵阳市及福建省武夷山市开展翼手目物种多样性调查,使用蝙蝠竖琴网采集到9只(5只雄性,4只雌性)小型蝙蝠。其主要特征为:前臂长28.70~32.80 mm,...为探究并明确中国翼手目物种多样性状况,本课题组于2022年9月至2023年7月,在湖南省怀化市、邵阳市及福建省武夷山市开展翼手目物种多样性调查,使用蝙蝠竖琴网采集到9只(5只雄性,4只雌性)小型蝙蝠。其主要特征为:前臂长28.70~32.80 mm,鼻孔向两侧延长呈“Y”形短管状;背毛从基部至毛尖呈暗灰、浅黄、黑色三色带状;腹毛呈橘黄色,咽部毛基部灰白,毛尖浅黄色到橘黄色;头骨较小,颅全长15.15~16.39 mm,前额吻突显著,矢状嵴和人字嵴均不明显,与水甫管鼻蝠(Murina shuipuensis)的外形及头骨特征相符;同时其Cyt b序列与水甫管鼻蝠的地模标本序列聚为一支。上述形态和分子特征均支持将其鉴定为水甫管鼻蝠,为该种在湖南和福建两省翼手目分布新记录。同时,本研究基于适生区集合物种分布模型(Ensemble Species Distribution Models,ESDM)对水甫管鼻蝠在中国的潜在适生区进行预测,发现该物种的分布与降水因子相关,倾向于远离人类干扰区域,其高适生区主要集中于华南、华东、华中的山脉地段,包括南岭、武夷山系及罗霄山系等,该预测可为后续野外调查提供针对性信息参考。上述标本保存于广州大学华南生物多样性保护与利用重点实验室。展开更多
基金supported by the National Natural Science Foundation of China(12072090).
文摘This work proposes the application of an iterative learning model predictive control(ILMPC)approach based on an adaptive fault observer(FOBILMPC)for fault-tolerant control and trajectory tracking in air-breathing hypersonic vehicles.In order to increase the control amount,this online control legislation makes use of model predictive control(MPC)that is based on the concept of iterative learning control(ILC).By using offline data to decrease the linearized model’s faults,the strategy may effectively increase the robustness of the control system and guarantee that disturbances can be suppressed.An adaptive fault observer is created based on the suggested ILMPC approach in order to enhance overall fault tolerance by estimating and compensating for actuator disturbance and fault degree.During the derivation process,a linearized model of longitudinal dynamics is established.The suggested ILMPC approach is likely to be used in the design of hypersonic vehicle control systems since numerical simulations have demonstrated that it can decrease tracking error and speed up convergence when compared to the offline controller.
文摘为探究并明确中国翼手目物种多样性状况,本课题组于2022年9月至2023年7月,在湖南省怀化市、邵阳市及福建省武夷山市开展翼手目物种多样性调查,使用蝙蝠竖琴网采集到9只(5只雄性,4只雌性)小型蝙蝠。其主要特征为:前臂长28.70~32.80 mm,鼻孔向两侧延长呈“Y”形短管状;背毛从基部至毛尖呈暗灰、浅黄、黑色三色带状;腹毛呈橘黄色,咽部毛基部灰白,毛尖浅黄色到橘黄色;头骨较小,颅全长15.15~16.39 mm,前额吻突显著,矢状嵴和人字嵴均不明显,与水甫管鼻蝠(Murina shuipuensis)的外形及头骨特征相符;同时其Cyt b序列与水甫管鼻蝠的地模标本序列聚为一支。上述形态和分子特征均支持将其鉴定为水甫管鼻蝠,为该种在湖南和福建两省翼手目分布新记录。同时,本研究基于适生区集合物种分布模型(Ensemble Species Distribution Models,ESDM)对水甫管鼻蝠在中国的潜在适生区进行预测,发现该物种的分布与降水因子相关,倾向于远离人类干扰区域,其高适生区主要集中于华南、华东、华中的山脉地段,包括南岭、武夷山系及罗霄山系等,该预测可为后续野外调查提供针对性信息参考。上述标本保存于广州大学华南生物多样性保护与利用重点实验室。
