It is necessary that the laser inertial system is used to further improve the fire accuracy and quick reaction capability in the ballistic missile strapdown inertial navigation system. According to the guidance contro...It is necessary that the laser inertial system is used to further improve the fire accuracy and quick reaction capability in the ballistic missile strapdown inertial navigation system. According to the guidance controlling method and the output and error model of ballistic missile laser SIMU, the mathematical model of error propagation mechanism is set up and any transfer environmental function of error coefficient that affects the fire accuracy is deduced. Also, the missile longitudinal/lateral impact point is calculated using MATLAB. These establish the technical foundation for further researching the dispersion characteristics of impact point and reducing the laser guidance error.展开更多
Environmental Impact Assessments (EIAs) are designed to evaluate all reasonably foreseeable environmental consequences of human activities. Appropriate governmental scientists traditionally produced EIAs for managemen...Environmental Impact Assessments (EIAs) are designed to evaluate all reasonably foreseeable environmental consequences of human activities. Appropriate governmental scientists traditionally produced EIAs for management agencies in many countries. However, many EIAs are now contracted out, often to the lowest bidder without due consideration of expertise. Others suffer from limited agency resources. Consequently, many EIAs have become insufficiently researched documents that draw heavily from previous EIAs while being rushed to completion to meet legislative deadlines or avoid delaying projects. Habitual treatment of topics often ignores recent scientific literature, perpetuating previous misconceptions and analytical flaws. Common problems in EIAs discussing wildlife include: a focus on lethal takes, with little consideration of non-lethal impacts or habitat degradation;a general dismissal of the possibility that non-significant (to the resource) impacts can, when combined, become significant;and the assumption that behavioral habituation in animals represents an end of impact. Incentive to break the cycle is somewhat lacking in this now often commercially competitive environment, where contracts are increasingly awarded by industry, generating potential conflict of interest. We believe investment in thorough, impartially written, scientifically-based and up-to-date EIAs is important for appropriately representing and managing ecosystems and their resources and avoiding potentially expensive litigation.展开更多
Optimal control of greenhouse climate is one of the key techniques in digital agriculture.Greenhouse climate,a nonlinear and uncertain system,consists of several major environmental factors such as temperature,humidit...Optimal control of greenhouse climate is one of the key techniques in digital agriculture.Greenhouse climate,a nonlinear and uncertain system,consists of several major environmental factors such as temperature,humidity,light intensity,and CO 2 concentration.Due to the complex coupled correlations,it is a challenge to achieve coordination control of greenhouse environmental factors.This paper proposes a model-free coordination control approach for greenhouse environmental factors based on Q-learning.Coordination control policy is found through systematic interaction with the dynamic environment to achieve optimal control for greenhouse climate with the control cost constraints.In order to decrease systematic trial-and-error risk and reduce the computational complexity in Q-learning algorithm,case-based reasoning （CBR） is seamlessly incorporated into the Q-learning process.The experimental results demonstrate that this approach is practical,highly effective and efficient.展开更多
文摘It is necessary that the laser inertial system is used to further improve the fire accuracy and quick reaction capability in the ballistic missile strapdown inertial navigation system. According to the guidance controlling method and the output and error model of ballistic missile laser SIMU, the mathematical model of error propagation mechanism is set up and any transfer environmental function of error coefficient that affects the fire accuracy is deduced. Also, the missile longitudinal/lateral impact point is calculated using MATLAB. These establish the technical foundation for further researching the dispersion characteristics of impact point and reducing the laser guidance error.
文摘Environmental Impact Assessments (EIAs) are designed to evaluate all reasonably foreseeable environmental consequences of human activities. Appropriate governmental scientists traditionally produced EIAs for management agencies in many countries. However, many EIAs are now contracted out, often to the lowest bidder without due consideration of expertise. Others suffer from limited agency resources. Consequently, many EIAs have become insufficiently researched documents that draw heavily from previous EIAs while being rushed to completion to meet legislative deadlines or avoid delaying projects. Habitual treatment of topics often ignores recent scientific literature, perpetuating previous misconceptions and analytical flaws. Common problems in EIAs discussing wildlife include: a focus on lethal takes, with little consideration of non-lethal impacts or habitat degradation;a general dismissal of the possibility that non-significant (to the resource) impacts can, when combined, become significant;and the assumption that behavioral habituation in animals represents an end of impact. Incentive to break the cycle is somewhat lacking in this now often commercially competitive environment, where contracts are increasingly awarded by industry, generating potential conflict of interest. We believe investment in thorough, impartially written, scientifically-based and up-to-date EIAs is important for appropriately representing and managing ecosystems and their resources and avoiding potentially expensive litigation.
基金supported by National Natural Science Foundationof China(No.60775014)
文摘Optimal control of greenhouse climate is one of the key techniques in digital agriculture.Greenhouse climate,a nonlinear and uncertain system,consists of several major environmental factors such as temperature,humidity,light intensity,and CO 2 concentration.Due to the complex coupled correlations,it is a challenge to achieve coordination control of greenhouse environmental factors.This paper proposes a model-free coordination control approach for greenhouse environmental factors based on Q-learning.Coordination control policy is found through systematic interaction with the dynamic environment to achieve optimal control for greenhouse climate with the control cost constraints.In order to decrease systematic trial-and-error risk and reduce the computational complexity in Q-learning algorithm,case-based reasoning （CBR） is seamlessly incorporated into the Q-learning process.The experimental results demonstrate that this approach is practical,highly effective and efficient.
