Robust consensus algorithm for multi-agent systems with exogenous disturbances under convergence conditions

In this paper, a robust consensus algorithm is developed and sufficient conditions for convergence to consensus are proposed for a multi-agent system (MAS) with exogenous disturbances subject to partial information. By utilizing H_∞ robust control, differential game theory and a design-based approach, the consensus problem of the MAS with exogenous bounded interference is resolved and the disturbances are restrained, simultaneously. Attention is focused on designing an H_∞ robust controller (the robust consensus algorithm) based on minimisation of our proposed rational and individual cost functions according to goals of the MAS. Furthermore, sufficient conditions for convergence of the robust consensus algorithm are given. An example is employed to demonstrate that our results are effective and more capable to restrain exogenous disturbances than the existing literature.     

Uncooperative gait recognition by learning to rank

Gait is a useful biometric because it can operate from a distance and without subject cooperation. However, it is affected by changes in covariate conditions (carrying, clothing, view angle, etc.). Existing methods suffer from lack of training samples, can only cope with changes in a subset of conditions with limited success, and implicitly assume subject cooperation. We propose a novel approach which casts gait recognition as a bipartite ranking problem and leverages training samples from different people and even from different datasets. By exploiting learning to rank, the problem of model over-fitting caused by under-sampled training data is effectively addressed. This makes our approach suitable under a genuine uncooperative setting and robust against changes in any covariate conditions. Extensive experiments demonstrate that our approach drastically outperforms existing methods, achieving up to 14-fold increase in recognition rate under the most difficult uncooperative settings.     

贵金属Pd-P系非晶态合金研究进展

本文首先论述了含磷的钯基非晶态合金的物理和化学制备方法，并简要地介绍了Pd—P合金的各种物理化学性能，以及该类非晶态合金特殊用途。     

半导体纳米晶体制备及应用进展

综述了量子点的制备及应用进展     

多孔陶瓷的制备和应用研究进展

由于多孔陶瓷材料在化学工业、信息通讯、生物技术、环境能源等领域的广泛应用，近年来倍受关注。综述了多孔陶瓷的几种制备方法，并将多孔陶瓷在过滤材料、催化剂载体、生物材料、吸音隔热材料、敏感材料上的应用情况作了简要说明，充分肯定了多孔陶瓷对人类社会的作用。     

纳米SiO2粉体的制备与研究

纳米SiO2粉体的制备是以硅酸钠和盐酸为原料，添加适宜的稳定剂(非离子表面活性剂)和分散剂，在适宜的pH值和温度下，采用化学沉淀法合成。研究表明，要得到性能优良纳米的SiO2粉体，最佳工艺条件为：温度20～40℃，pH=6，反应液质量浓度P1=20g／L，P2=1．20g／L，反应时间15min。结果表明：制备的纳米SiO2粒径30～50nm，比表面积大，分散性好，质量优良，可达到产业化的生产。     

超微粒子的合成及其应用

本文综述了超微粒子的合成方法和应用。着重叙述了超微粒子在催化、生物、医学、记录材料、传感材料等方面的应用。     

神华集团孙家沟选煤厂工艺流程及设备的评价

简述了孙家沟选煤厂工艺参数的选择和设计情况及投产后的运行效果,评价认为,该厂建设速度快,工艺流程合理,设备性能良好,产品质量合格、稳定。     

S—94触变性不饱和聚酯树脂的制备和开发

在基体树脂中添加触变剂白炭黑，制成了Ｓ－９４触变性不饱和聚酯树脂。该树脂的触变指数比基体树脂高３倍多，改善了不饱和聚酯树脂的流变性。     

纳米CeO2的制备方法研究进展

介绍了近年来纳米CeO2的制备方法的研究进展情况，重点分析对比了沉淀法、溶胶—凝胶法、水热法、微乳液法、喷雾热分解法、喷雾反应法等制备纳米CeO2的优缺点，指出了在今后应重点研究和解决的主要问题。