含反应节点过程数据校正的扩展独立物流法

Among the techniques developed for bilinear data reconciliation problems, the method based on independent flows is well known in terms of both accuracy and efficiency. However, the independent flow method is not effective when reactor units are present in the process. In this paper, an extended independent flow method is proposed for the data reconciliation of the process with chemical reaction. By the new method, the independent flows finding algorithm is adjusted to avoid the difficulties caused by the reactors in the process, and the reaction constraints are introduced into the objective function of data reconciliation. As a result, the new method can be applied to the process with chemical reaction while retaining high solution accuracy. To test the performance, the new method and the most typical Crowe’s projection method are used in the data reconciliation of a typical industrial process. The results show that the new method can effectively accomplish the data reconciliation of the multicomponent process with chemical reaction and gives more accurate estimates than the Crowe’s method.

光谱展宽特性分析及实验研究

介绍一种利用光波导相位调制器对激光光谱进行展宽的实验测试 (国内首次用相位调制器进行光谱展宽的研究 ) ,并由此推出当激光波长为 10 5 3nm时光谱约 0 .2

Experimental analysis and application of sparsity constrained deconvolution

Sparsity constrained deconvolution can improve the resolution of band-limited seismic data compared to conventional deconvolution. However, such deconvolution methods result in nonunique solutions and suppress weak reflections. The Cauchy function, modified Cauchy function, and Huber function are commonly used constraint criteria in sparse deconvolution. We used numerical experiments to analyze the ability of sparsity constrained deconvolution to restore reflectivity sequences and protect weak reflections under different constraint criteria. The experimental results demonstrate that the performance of sparsity constrained deconvolution depends on the agreement between the constraint criteria and the probability distribution of the reflectivity sequences; furthermore, the modified Cauchy- constrained criterion protects the weak reflections better than the other criteria. Based on the model experiments, the probability distribution of the reflectivity sequences of carbonate and clastic formations is statistically analyzed by using well-logging data and then the modified Cauchy-constrained deconvolution is applied to real seismic data much improving the resolution.

An Improved Control Vector Iteration Approach for Nonlinear Dynamic Optimization. II. Problems with Path Constraints

This paper considers dealing with path constraints in the framework of the improved control vector iteration （CVI） approach. Two available ways for enforcing equality path constraints are presented, which can be directly incorporated into the improved CVI approach. Inequality path constraints are much more difficult to deal with, even for small scale problems, because the time intervals where the inequality path constraints are active are unknown in advance. To overcome the challenge, the ll penalty function and a novel smoothing technique are in-troduced, leading to a new effective approach. Moreover, on the basis of the relevant theorems, a numerical algo-rithm is proposed for nonlinear dynamic optimization problems with inequality path constraints. Results obtained from the classic batch reaCtor operation problem are in agreement with the literature reoorts, and the comoutational efficiency is also high.

Impact of Workforce and Schedule Constraints on New Nuclear Construction

Due to recent legislative incentives and a general change in the public eye towards environmental and energy issues, a renewed interest in building nuclear power plants has taken place in the U.S. The Nuclear Regulatory Commission has also recently given approvals to build four nuclear reactors in two southeast states, which further indicates the resurging interest in nuclear power in the U.S. Such approvals, however, do not specifically address the impact on having a constrained labor force when manufacturing and constructing multiple reactors. Key findings include the comparison of a constrained and unconstrained workforce on construction and manufacturing completion times, the identification of peak labor requirements based on different construction schedules, and the development of training estimates to ensure the workforce and industry are prepared for the new jobs being created. Results suggest that a shorter planned construction timeline is effective when the workforce is moderately constrained to unconstrained. However, with a severely-constrained starting workforce, a longer construction timeline is preferred. For multiple reactor plans, spreading out the construction start dates outperforms all other construction start date schedules. In particular, heavily compressed start dates could effectively kill a resurgent nuclear industry, especially if workforce expansion is not pursued simultaneously.

基于CPSO滚动优化的堆芯功率自适应预测控制

针对核反应堆变功率过程中系统的非线性和反应性增量约束问题,本文将具备模型参数自适应辨识能力的改进型广义预测控制器(JGPC)应用于堆芯功率控制,该控制器通过预测模型参数和递推关系计算未来时刻的预测输出值,同时采用经正弦混沌策略和非线性惯性权重改进的混沌粒子群算法(CPSO)进行滚动优化,在优化过程中通过设定优化边界和混沌策略来处理反应性约束;以堆芯功率的受控自回归积分滑动平均模型(CARIMA)作为预测模型,并采用遗忘因子递推最小二乘法(FFRLS)自适应辨识模型参数,以克服堆芯功率模型非线性。基于MATLAB平台对本文控制器进行仿真验证,结果表明,该控制器在满足约束条件的情况下,能使堆芯功率快速、稳定地跟随设定值,且具备一定的抗干扰能力。

Local predation pressure predicts the strength of mobbing responses in tropical birds

Many birds join cooperative mobbing aggregations and collectively harass predators. Individuals participating in these ephemeral associations benefit by deterring the predator, but also incur energetic costs and increased risk of predation. Ex- plaining the evolution of mobbing is challenging because individuals could prevail by selfishly seeking safety while allowing others to mob. An important step in understanding the evolution of mobbing is to identify factors affecting its expression. The ecological constraints model suggests that animals are more likely to cooperate under adverse environmental conditions, such as when local predation pressure is high. We tested this prediction by comparing the mobbing responses of several species of birds to the local abundance of their primary predator, the ferruginous pygmy-owl Glaucidium brasilianum. We used acoustic playback to elicit mobbing responses in environments where owls were common, uncommon, or rare. Stimuli were either the song of a fer- ruginous pygmy-owl or the mobbing calls of three of the owl＇s common prey species. During each playback, we characterized mobbing responses by noting the number of species and individuals that approached the loudspeaker, as well as the closest ap- proach by any bird. Mobbing responses to both stimuli were strong in locations where Ferruginous Pygmy-owls were common, intermediate where owls were uncommon, and weak where they were rare. This pattern persisted even after controlling for dif- ferences in species richness and composition among the three environments. Results support the ecological constraints model and provide strong evidence that intense predation pressure increases the expression of cooperative mobbing in tropical birds [Cur- rent Zoology 58 （5）： 781-790, 2012].