State Estimation for Robotics_高翔翻译_2018.01.15.pdf

本文通过输入状态结构研究布尔网络的结构。 使用作者提出的代数形式，将布尔网络的基于逻辑的输入状态动力学（称为布尔控制网络）转换为代数离散时间动态系统。 然后获得布尔控制系统的循环结构作为复合循环。 使用获得的输入状态描述，研究布尔网络的结构，并将其吸引子显示为嵌套的复合循环，称为滚动齿轮。 这种结构解释了为什么小周期主要决定蜂窝网络的行为。 给出了一些说明性的例子。

通过与坐标系的任何方向相关的那个点的描述性应力矩阵，可以传达关于该点应力状态的大量信息。 该程序通过代数运算得出其中一些参数。

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STATE OF THE U.S. SEMICONDUCTOR INDUSTRY, SIA 2012

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Paxos Replicated State Machines as the Basis of a High-Performance.pdf Conventional wisdom holds that Paxos is too expensive to use for high-volume, high-throughput, data-intensive applications. Consequently, fault-tolerant storage systems typically rely on special hardware, semantics weaker than sequential consistency, a limited update interface (such as append-only), primary-backup replication schemes that serialize all reads through the primary, clock synchronization for correctness

State Machine Replication is More Expensive than Consensus.pdf Consensus and State Machine Replication (SMR) are generally considered to be equivalent problems. In certain system models, indeed, the two problems are computationally equivalent: any solution to the former problem leads to a solution to the latter, and vice versa. In this paper, we study the relation between consensus and SMR from a complexity perspective.