This paper deals with nonholonomic systems in chained form with unknown covariance stochastic disturbances The objective is to design the almost global adaptive asymptotical controllers in probability Uo and u1 for th...This paper deals with nonholonomic systems in chained form with unknown covariance stochastic disturbances The objective is to design the almost global adaptive asymptotical controllers in probability Uo and u1 for the systems by using discontinuous control. A switching control law Uo is designed to almost globally asymptotically stabilize the state x0 in both the singular Xo（t0）=0 case and the non-singular Xo（to）≠O case. Then the state scaling technique is introduced for the discontinuous feedback into the （x1, x2,…, xn）-subsystem. Thereby, by using backstepping technique the global adaptive asymptotical control law u1 has been presented for （x1, x2, …, xn） -subsystem for both different Uo in non-singular x0 （t0）≠0 case and the singular case X0 （t0）=0. The control algorithm validity is proved by simulation.展开更多
新能源汽车智能化能量管理是先进汽车技术研究的重要领域,是进一步提升整车燃油经济性能的关键。针对插电式混合动力汽车(Plug-in hybrid electric vehicle,PHEV)能量全局化管理与控制的实时性和最优性难以兼顾的难题,开展了基于能耗预...新能源汽车智能化能量管理是先进汽车技术研究的重要领域,是进一步提升整车燃油经济性能的关键。针对插电式混合动力汽车(Plug-in hybrid electric vehicle,PHEV)能量全局化管理与控制的实时性和最优性难以兼顾的难题,开展了基于能耗预测的全路径自适应能量管理研究,提出了以等效燃油消耗最小化为目标的全规划路径PHEV自适应控制算法。最后,基于MATLAB/Simulink的建模与仿真分析验证了所提控制算法对实际行驶工况、里程和整车能量状态的变化具有较好的跟随性和自适应性,全路径近似全局性优化控制效果明显,较好地改善了整车的燃油经济性。展开更多
There is increasing evidence that climate change, like other natural disasters has the potential for significant human health impacts, including mental health. Fear as a psychological construct concerning climate chan...There is increasing evidence that climate change, like other natural disasters has the potential for significant human health impacts, including mental health. Fear as a psychological construct concerning climate change is not well understood. An online cross-sectional survey was conducted, targeting a demographically representative sample of Americans (n = 546) in terms of ethnicity, age, and gender. Survey questions included demographic information and global questions regarding self-rated anxiety and fear of climate change. Ordinal logistic models were created to determine which demographic factors were most predictive of climate change fear in the US population. Over half of the study sample (50.9%) indicated being moderately or very afraid of climate change. In the end, only three factors remained significant (<em>p</em> < 0.001) in the model;self-reported level of anxiety, political affiliation, and identifying and Hispanic/Latino. Climate change fear is still not understood, especially in terms of its impact on the mental health of the population in general, though prolonged fear can be an antecedent to other mental health disorders. This study had demonstrated that fear of climate change impacts over half of the U.S population. Level of fear differs significantly by demographic. This study has provided evidence that climate change fear impacts a significant proportion of the US population, prompting a need to investigate the potential acute and long-term impacts of this fear on the human psyche. The harms and benefits of the fear response to climate change should be explored as well as potential responses to fear due to climate change.展开更多
文摘This paper deals with nonholonomic systems in chained form with unknown covariance stochastic disturbances The objective is to design the almost global adaptive asymptotical controllers in probability Uo and u1 for the systems by using discontinuous control. A switching control law Uo is designed to almost globally asymptotically stabilize the state x0 in both the singular Xo（t0）=0 case and the non-singular Xo（to）≠O case. Then the state scaling technique is introduced for the discontinuous feedback into the （x1, x2,…, xn）-subsystem. Thereby, by using backstepping technique the global adaptive asymptotical control law u1 has been presented for （x1, x2, …, xn） -subsystem for both different Uo in non-singular x0 （t0）≠0 case and the singular case X0 （t0）=0. The control algorithm validity is proved by simulation.
文摘新能源汽车智能化能量管理是先进汽车技术研究的重要领域,是进一步提升整车燃油经济性能的关键。针对插电式混合动力汽车(Plug-in hybrid electric vehicle,PHEV)能量全局化管理与控制的实时性和最优性难以兼顾的难题,开展了基于能耗预测的全路径自适应能量管理研究,提出了以等效燃油消耗最小化为目标的全规划路径PHEV自适应控制算法。最后,基于MATLAB/Simulink的建模与仿真分析验证了所提控制算法对实际行驶工况、里程和整车能量状态的变化具有较好的跟随性和自适应性,全路径近似全局性优化控制效果明显,较好地改善了整车的燃油经济性。
文摘There is increasing evidence that climate change, like other natural disasters has the potential for significant human health impacts, including mental health. Fear as a psychological construct concerning climate change is not well understood. An online cross-sectional survey was conducted, targeting a demographically representative sample of Americans (n = 546) in terms of ethnicity, age, and gender. Survey questions included demographic information and global questions regarding self-rated anxiety and fear of climate change. Ordinal logistic models were created to determine which demographic factors were most predictive of climate change fear in the US population. Over half of the study sample (50.9%) indicated being moderately or very afraid of climate change. In the end, only three factors remained significant (<em>p</em> < 0.001) in the model;self-reported level of anxiety, political affiliation, and identifying and Hispanic/Latino. Climate change fear is still not understood, especially in terms of its impact on the mental health of the population in general, though prolonged fear can be an antecedent to other mental health disorders. This study had demonstrated that fear of climate change impacts over half of the U.S population. Level of fear differs significantly by demographic. This study has provided evidence that climate change fear impacts a significant proportion of the US population, prompting a need to investigate the potential acute and long-term impacts of this fear on the human psyche. The harms and benefits of the fear response to climate change should be explored as well as potential responses to fear due to climate change.
