基于逻辑器件的可编程增益放大器设计

本文介绍了可编程增益放大器设计的方法。它主要由控制电路、放大电路、显示电路三大模块组成。该系统性能好、成本低、工作可靠,具有一定的工程应用价值,经测试表明,该设计基本上达到了设计的要求。     

基于线性回归的无线传感器网络链路质量估计方法研究

针对无线传感器网络链路质量估计模型中回归算法复杂度高、缺少统一分类标准和公开数据集等问题,提出了一种基于EWMA和线性回归的链路质量估计方法ELR-LQE。以物理层获取的RSSI、LQI和SNR,以及包接收率PRR作为度量参数,分别在多种实验环境中采用不同的发射功率、竞争条件和部署方式采集数据,建立了链路质量估计数据集。通过最小值填充和EWMA对数据进行预处理,明显提高了回归模型的输入特征与链路质量的相关性。与现有方法相比,提出方法易于和网络层协议适配,并且复杂度较低,适合在资源有限的无线传感器网络节点中实现。实验结果显示,ELR-LQE具有较高的精度,在多种实验条件下平均的ME为4.6×10-2,R2为0.99。     

Weighted principal component extraction with genetic algorithms

Pattern recognition techniques have been widely used in a variety of scientific disciplines including computer vision, artificial intelligence, biology, and so forth. Although many methods present satisfactory performances, they still have several weak points, thus leaving a lot of space for further improvements. In this paper, we propose two performance-driven subspace learning methods by extending the principal component analysis (PCA) and the kernel PCA (KPCA). Both methods adopt a common structure where genetic algorithms are employed to pursue optimal subspaces. Because the proposed feature extractors aim at achieving high classification accuracy, enhanced generalization ability can be expected. Extensive experiments are designed to evaluate the effectiveness of the proposed algorithms in real-world problems including object recognition and a number of machine learning tasks. Comparative studies with other state-of-the-art techniques show that the methods in this paper are capable of enhancing generalization ability for pattern recognition systems.     

Practical Issues in Temporal Difference Learning

This paper examines whether temporal difference methods for training connectionist networks, such as Sutton's TD() algorithm, can be successfully applied to complex real-world problems. A number of important practical issues are identified and discussed from a general theoretical perspective. These practical issues are then examined in the context of a case study in which TD() is applied to learning the game of backgammon from the outcome of self-play. This is apparently the first application of this algorithm to a complex non-trivial task. It is found that, with zero knowledge built in, the network is able to learn from scratch to play the entire game at a fairly strong intermediate level of performance, which is clearly better than conventional commercial programs, and which in fact surpasses comparable networks trained on a massive human expert data set. This indicates that TD learning may work better in practice than one would expect based on current theory, and it suggests that further analysis of TD methods, as well as applications in other complex domains, may be worth investigating.     

具有随机丢包的网络化多自主体系统的一致性

研究具有随机丢包的网络化多自主体系统的均方一致性问题,其中不同自主体间的通信通道具有相同的丢包情况并且均服从马尔可夫(Markov)分布。首先,利用系统变换和迭代方法,得到了系统达到均方一致的一个初等充要条件。然后,利用矩阵理论和图论知识,如果拓扑图含有有向生成树,则可以将系统的均方一致性转化成一个线性Markov跳变系统的均方稳定性,并且可以建立线性矩阵不等式形式的均方可镇定准则。最后,通过相应的仿真实例说明了所得结论的可行性。     

多系列 PLC 控制系统升级改造

根据水厂 PLC 控制系统的具体情况和发展需求,对水厂现有的 PLC 控制系统进行升级改造.采用三菱新产品 Q 系列 PLC 升级改造落后老化的大 A 和小 A 系列 PLC 站,解决不同系列的 PLC 网络通讯问题,提高水厂 PLC 控制系统的安全性、兼容性和先进性     

Simulating logic circuits: A multiprocessor application

Circuits, especially logic circuits, are highly concurrent structures: signals flow along many parallel paths at once. This native concurrency, a function of both circuit size and topology, can be exploited in simulating these circuits on parallel machines. Simulation efficiency is affected by machine, language, and simulator implementation parameters like cycle speed, parallelism overhead, and partitioning of the circuit within the simulator, as well as by the amount of native concurrency. The experimental logic simulatorconsim, written in Multilisp and implemented on a 34 element shared-memory multiprocessor, was used to investigate these issues.     

控制器模态不匹配的半马尔可夫系统的可达集分析

研究了控制器模态不匹配的半马尔可夫跳变线性系统的可达集。在不考虑有界转移速率约束的情况下,设计了模态与系统模态不匹配的控制器,得到了系统状态轨迹有界的充分条件。然后,分别研究了模态独立和模态依赖的控制策略,进一步讨论矩阵中含有不确定的概率和部分已知的矩阵情况。最后,通过算例和仿真结果验证了模态不匹配控制方法的有效性和优越性。