Novel fuzzy adaptive finite-time nonsmooth control for uncertain nonlinear systems

In this article, a novel fuzzy adaptive finite-time nonsmooth controller is developed to handle the finite-time tracking problem for a class of uncertain nonlinear systems. Different from traditional fuzzy adaptive approximation methods, proposed method contains only one adaptive parameter, no matter how many states there are in the system. By constructing a new Lyapunov function with prescribed performance bound, the transient and steady performances of control system can be ensured. Further, based on a criterion of finite-time semiglobal practical stability and backstepping technology, a novel fuzzy adaptive finite-time nonsmooth control method is designed. It can be demonstrated that proposed control can effectively ensure tracking error tends to small neighborhood in a finite time. Finally, two examples have been simulated by the proposed control method, and it shows effective tracking performance.     

Development of new energy management strategy for a household fuel cell/battery hybrid system

This work aims to construct an efficient and robust fuel cell/battery hybrid operating system for a household application. The ability to dispatch the power demands, sustain the state of charge (SOC) of battery, optimize the power consumption, and more importantly, ensure the durability as well as extend the lifetime of a fuel cell system is the basic requirements of the hybrid operating system. New power management strategy based on fuzzy logical combined state machine control is developed, and its effectiveness is compared with various strategies such as dynamic programming (DP), state machine control, and fuzzy logical control with simulation. Experimental results are also presented, except for DP because of difficulties in achieving real‐time implementation and much faster response to load variation. The given current from the energy management system (EMS) as a reference of the fuel cell output current is determined by filtering out various harmful signals. The new power management strategy is applied to a 1‐kW stationary fuel cell/battery hybrid system. Results show that the fuel cell hybrid system can run much smoothly with prolonged lifetime.     

区间集上的一元格蕴涵代数方程

把格蕴涵代数中滤子、素滤子、LI-理想、对偶原子和凸子格等概念拓展到区间集进行了重新定义,研究了三种基本的区间集上的一元格蕴涵代数方程,并给出了方程的可解性判断条件以及方程解集的若干性质.     

无氰镀银自动生产线电流控制故障的排除

通过QC(质量控制)活动分析了无氰电镀银自动生产线电流控制故障产生的原因。通过编写单周期响应程序避免RLO(逻辑运算结果)正跳沿指令失效,通过改变数据移库时机解决了上下料在同一工位时数据移库错误,增加程序模块提高电流控制准确性。采用以上措施可彻底消除电流控制故障。     

潮汕传统建筑装饰题材的深层语义

归纳整理了潮汕传统建筑装饰题材的发展沿革、取材类型、取材特点,并结合儒学思想、民俗美学、社会美学等方面的理论,初步分析了当地传统建筑装饰题材所承载的民俗文化和美学取向.     

徽州建筑门窗雕饰的意蕴解析

从皖南的整体风貌和历史文化的角度出发,以徽州黟县西递村“迪吉堂”内门窗雕饰为例,阐述徽州民居门窗的演变过程和构造特点,进而分析这些门窗雕饰所蕴含的丰富意境和空间氛围,以及所呈现的风土乡情和艺术特征.     

电力电子系统中的功率脉冲时序组合与逻辑组合

从电力电子系统的底层脉冲组合理论出发,对功率脉冲时序组合与逻辑组合的概念、方法和实现进行总结提炼分析。针对功率脉冲纯时序组合的局限性,提出功率脉冲及功率脉冲序列的逻辑组合方法,并对其组合思路和应用场景进行分析归纳。由于基于不同脉冲逻辑组合思路的两种典型应用,即多电平技术和倍频策略,均可以有效提高系统变换性能,以电力电子功率放大器为分析对象,对二者的谐波特性和适用性进行对比分析,以此作为上述理论的一个分析应用实例。通过电力电子系统中脉冲组合方法论的研究,有助于从更为底层的角度对相关技术进行系统认识,从而延伸拓展出新的脉冲组合与实现方式,推动电力电子技术的发展。     

紫金山铜金矿黄铁矿碎裂结构特征及其地质意义

紫金山铜金矿黄铁矿的碎裂结构具有三种赋存状态,主要运用电子探针(EPMA)对其进行微区分析,进而探讨碎裂结构黄铁矿的特征及其地质意义。通过研究得出以下主要结论:1)本矿碎裂结构黄铁矿的三种赋存状态:破碎程度一般,颗粒较大;破碎程度大,颗粒细小;碎裂结构与粒状结构黄铁矿共生。黄铁矿的破碎程度越大,颗粒越细小,含金性越大,且黄铁矿中金的赋存状态为纳米级颗粒金;2)碎裂结构黄铁矿是亏铁富硫型的,从浅部到深部,亏铁程度与富硫程度逐渐减弱,黄铁矿的Co-Ni图解,说明其是火山—热液成因,其形成与早期隐爆作用有关;3)碎裂结构黄铁矿的主要微量元素有Cu、Co、Ni、Pb、Zn、Au、Ag、As、Sb、Se、W、Sn等,从浅部到深部,碎裂结构黄铁矿的微量元素Sn含量明显增加;元素W、Au、Zn、Ag、Pb都有逐渐降低的趋势;Ni含量也逐渐降低,但是靠近铜矿体,其含量有所增加;越接近铜矿体,Cu与S的含量增加,而Fe的含量降低,体现了紫金山铜金矿床的成矿流体是火山热液(形成于燕山晚期,富含Cu、Au、Pb、Zn等成矿元素)与紫金山复式花岗岩岩体(形成于燕山早期,具有W、Sn、Mo、Bi等矿化特征)的叠加。     

逻辑靶场操作流程设计

为正确执行逻辑靶场事件,充分利用试验与训练使能体系结构(test and training enabling architecture,TENA) 资源,对逻辑靶场操作流程进行剖析。理清TENA 与逻辑靶场之间的关系,明确TENA 资源的种类,在对逻辑靶场 操作概念进行分析的基础上,对逻辑靶场操作的过程及主要活动进行详细设计。结果表明,该设计为顺利实施LVC 测试训练提供了理论基础。     

Language acceptability of finite automata based on theory of semi‐tensor product of matrices

Using the theories of many‐valued logic and semi‐tensor product of matrices (STP), this paper investigates how to mathematically determine whether or not a regular language is recognized by finite automata (FA). To this end, the dynamic behaviour of FA is first formulated as bilinear dynamic equations, which provides a uniform model for deterministic and non‐deterministic FA. Based on the bilinear model, the recognition power of FA understanding of regular languages is investigated and several algebraic criteria are obtained. With the algebraic criteria, to judge whether a regular sentence is accepted by a FA or not, one only needs to calculate an STP of some vectors, rather than making the sentence run over the machine as traditional manners. Further, the inverse problem of recognition is considered, an algorithm is developed that can mathematically construct all the accepted sentences for a given FA. The algebraic approach of this paper may be a new angle and means to understand and analyse the dynamics of FA.