Research on Mixed Logic Dynamic Modeling and Finite Control Set Model Predictive Control of Multi-Inverter Parallel System

Parallel connection of multiple inverters is an important means to solve the expansion,reserve and protection of distributed power generation,such as photovoltaics.In view of the shortcomings of traditional droop control methods such as weak anti-interference ability,low tracking accuracy of inverter output voltage and serious circulation phenomenon,a finite control set model predictive control(FCS-MPC)strategy of microgrid multiinverter parallel system based on Mixed Logical Dynamical(MLD)modeling is proposed.Firstly,the MLD modeling method is introduced logical variables,combining discrete events and continuous events to form an overall differential equation,which makes the modeling more accurate.Then a predictive controller is designed based on the model,and constraints are added to the objective function,which can not only solve the real-time changes of the control system by online optimization,but also effectively obtain a higher tracking accuracy of the inverter output voltage and lower total harmonic distortion rate(Total Harmonics Distortion,THD);and suppress the circulating current between the inverters,to obtain a good dynamic response.Finally,the simulation is carried out onMATLAB/Simulink to verify the correctness of the model and the rationality of the proposed strategy.This paper aims to provide guidance for the design and optimal control of multi-inverter parallel systems.

中国区域卫生规划监督与评价的Logic model(逻辑模型)研究

研究的目的是建立中国区域卫生规划的监督与评价体系,推动全国的区域卫生规划工作,采用LogicModel建立了中国区域卫生规划监督与评价的框架和指标体系并对有关实施问题进行了讨论。

Modeling and Control of a Continuous Stirred Tank Reactor Based on a Mixed Logical Dynamical Model

A novel control strategy for a continuous stirred tank reactor(CSTR)system,which has the typical characteristic of strongly pronounced nonlinearity,multiple operating points,and a wide operating range,is initiated from the point of hybrid systems.The proposed scheme makes full use of the modeling power of mixed logical dy- namical(MLD)systems to describe the highly nonlinear dynamics and multiple operating points in a unified framework as a hybrid system,and takes advantage of the good control quality of model predictive control(MPC) to design a controller.Thus,this approach avoids oscillation during switching between sub-systems,helps to relieve shaking in transition,and augments the stability robustness of the whole system,and finally achieves optimal(i.e. fast and smooth)transition between operating points.The simulation results demonstrate that the presented ap- proach has a satisfactory performance.

Intrusion Detection Algorithm Based on Model Checking Interval Temporal Logic

Model checking based on linear temporal logic reduces the false negative rate of misuse detection.However,linear temporal logic formulae cannot be used to describe concurrent attacks and piecewise attacks.So there is still a high rate of false negatives in detecting these complex attack patterns.To solve this problem,we use interval temporal logic formulae to describe concurrent attacks and piecewise attacks.On this basis,we formalize a novel algorithm for intrusion detection based on model checking interval temporal logic.Compared with the method based on model checking linear temporal logic,the new algorithm can find unknown succinct attacks.The simulation results show that the new method can effectively reduce the false negative rate of concurrent attacks and piecewise attacks.

Nonlinear inverse modeling of sensor based on back-propagation fuzzy logical system

Objective To correct the nonlinear error of sensor output,a new approach to sensor inverse modeling based on Back-Propagation Fuzzy Logical System(BP FS) is presented.Methods The BP FS is a computationally efficient nonlinear universal approximator,which is capable of implementing complex nonlinear mapping from its input pattern space to the output with fast convergence speed.Results The neuro-fuzzy hybrid system,i.e.BP FS,is then applied to construct nonlinear inverse model of pressure sensor.The experimental results show that the proposed inverse modeling method automatically compensates the associated nonlinear error in pressure estimation,and thus the performance of pressure sensor is significantly improved.Conclusion The proposed method can be widely used in nonlinearity correction of various kinds of sensors to compensate the effects of nonlinearity and temperature on sensor output.

A study of the logical model of capital market complexity theories

Analyzes the shortcomings of the classic capital market theories based on EMH and discloses the complexity essence of the capital market. Considering the capital market a complicated, interactive and adaptable dynamic system, with complexity science as the method for researching the operation law of the capital market, this paper constructs a nonlinear logical model to analyze the applied realm, focal point and interrelationship of such theories as dissipative structure theory, chaos theory, fractal theory, synergetics theory, catastrophe theory and scale theory, and summarizes and discusses the achievements and problems of each theory. Based on the research, the paper foretells the developing direction of eomplexity science in a capital market.

CONCEPTUAL MODELING BASED ON LOGICAL EXPRESSION AND EVOLVEMENT

Aiming at the problem of abstract and polytype information modeling in product conceptual design, a method of conceptual modeling based on logical expression and evolvement is presented. Based on the logic expressions of the product conceptual design information, a fimction/logic/strucmre mapping model is set up. First, the fimction semantics is transformed into logical expressions through fimction/logic mapping. Second, the methods of logical evolvement are utilized to describe the fimction analysis, fimction/strucmre mapping and structure combination. Last, the logical structure scheme is transformed into geometrical sketch through logic/structure mapping. The conceptual design information and modeling process are described uniformly with logical methods in the model, and an effective method for computer aided conceptual design based on the model is implemented.

Three-dimensional fuzzy logic system for process modeling and control

The traditional fuzzy logic system （FLS） can only model and control the process in two-dimensional nature. Many of real-world systems are of multidimensional features, such as, thermal and fluid processes with spatiotemporal dynamics, biological systems, or decision-making processes that contain stochastic and imprecise uncertainties. These types of systems are difficult for the traditional FLS to model and control because they require a third dimension for spatial or probabilistic information. The type-2 fuzzy set provides the possibility to develop a three-dimensional fuzzy logic system for modeling and controlling these processes in three-dimensional nature.

Fault detection and identification based on combining logic and model in a wall-climbing robot

A combined logic- and model-based approach to fault detection and identification （FDI） in a suction foot control system of a wall-climbing robot is presented in this paper. For the control system, some fault models are derived by kinematics analysis. Moreover, the logic relations of the system states are known in advance. First, a fault tree is used to analyze the system by evaluating the basic events （elementary causes）, which can lead to a root event （a particular fault）. Then, a multiple-model adaptive estimation algorithm is used to detect and identify the model-known faults. Finally, based on the system states of the robot and the results of the estimation, the model-unknown faults are also identified using logical reasoning. Experiments show that the proposed approach based on the combination of logical reasoning and model estimating is efficient in the FDI of the robot.

A Probabilistic Paraconsistent Logical Model for Non-Relativistic Quantum Mechanics Using Interlaced Bilattices with Conflation and Bernoulli Distribution

In this work, we make a representation of non-relativistic quantum theory based on foundations of paraconsistent annotated logic (PAL), a propositional and evidential logic with an associated lattice FOUR. We use the PAL version with annotation of two values (PAL2v), named paraquantum logic (PQL), where the evidence signals are normalized values and the intensities of the inconsistencies are represented by degrees of contradiction. Quantum mechanics is represented through mapping on the interlaced bilattices where this logical formalization allows annotation of two values in the format of degrees of evidence of probability. The Bernoulli probability distribution is used to establish probabilistic logical states that identify the superposition of states and quantum entanglement with the equations and determine the state vectors located inside the interlaced Bilattice. In the proposed logical probabilistic paraquantum logic model (pPQL Model), we introduce the operation of logical conflation into interlaced bilattice. We verify that in the pPQL Model, the operation of logical conflation is responsible for providing a suitable model for various phenomena of quantum mechanics, mainly the quantum entanglement. The results obtained from the entanglement equations demonstrate the formalization and completeness of paraquantum logic that allows for interpretations of similar phenomena of quantum mechanics, including EPR paradox and the wave-particle theory.

Physics-based analysis and simulation model of electromagnetic interference induced soft logic upset in CMOS inverter

The instantaneous reversible soft logic upset induced by the electromagnetic interference（EMI） severely affects the performances and reliabilities of complementary metal–oxide–semiconductor（CMOS） inverters. This kind of soft logic upset is investigated in theory and simulation. Physics-based analysis is performed, and the result shows that the upset is caused by the non-equilibrium carrier accumulation in channels, which can ultimately lead to an abnormal turn-on of specific metal–oxide–semiconductor field-effect transistor（MOSFET） in CMOS inverter. Then a soft logic upset simulation model is introduced. Using this model, analysis of upset characteristic reveals an increasing susceptibility under higher injection powers, which accords well with experimental results, and the influences of EMI frequency and device size are studied respectively using the same model. The research indicates that in a range from L waveband to C waveband, lower interference frequency and smaller device size are more likely to be affected by the soft logic upset.

A Fuzzy Logic Model to Predict the Bioleaching Efficiency of Copper Concentrates in Stirred Tank Reactors

Multiplicity of the chemical, biological, electrochemical and operational variables and nonlinear behavior of metal extraction in bioleaching environments complicate the mathematical modeling of these systems. This research was done to predict copper and iron recovery from a copper flotation concentrate in a stirred tank bioreactor using a fuzzy logic model. Experiments were carried out in the presence of a mixed culture of mesophilic bacteria at 35° C, and a mixed culture of moderately thermophilic bacteria at 50° C. Input variables were method of operation (bioleaching or electrobioleaching), the type of bacteria and time (day), while the recoveries of copper and iron were the outputs. A relationship was developed between stated inputs and the outputs by means of “if-then” rules. The resulting fuzzy model showed a satisfactory prediction of the copper and iron extraction and had a good correlation of experimental data with R-squared more than 0.97. The results of this study suggested that fuzzy logic provided a powerful and reliable tool for predicting the nonlinear and time variant bioleaching processes.

Undulatory Theory with Paraconsistent Logic (Part I): Quantum Logical Model with Two Wave Functions

Paraconsistent logic (PL) is a non-classical logic that accepts contradiction in its foundations. It can be represented in the form of paraconsistent annotated logic with annotation of two values (PAL2v). When used to model quantum phenomena, PAL2v is called paraquantum logic (PQL). In this work, the concept of PQL is applied to create a logical model presenting the fundamental principles of quantum mechanics that support particle-wave theory. This study uses the well-known Young’s double-slit experiment, wherein quantum phenomena appear when a monochromatic light beam passes through the two slits. We focused on a reference point located between the slits, where we observed the effects of two types of wave interferences in a region defined as a two-wave region (2W region). Considering that the effect in this 2W region is very similar to that studied by Huygens, we adopt a paraquantum logical model in which a particle (or quantum) is represented by two wave functions. The two wave functions result in four State Vectors (Ket, Bra,,) in the PQL Lattice that express the symmetry and the entanglement of Quantum Mechanics. The constructed model adapts well to the quantum phenomena, is strongly consistent, and can be considered as an innovative form of analysis in the field of quantum mechanics. Based on this model, we present in two parts (Part I and Part II) the comparative analysis of values found in SchrÖdinger’s equation and probabilistic models of wave-particle theory using Bonferroni inequality.

战略决策逻辑、冗余资源与数字商业模式构建——基于浙江177家企业数据的fsQCA分析

研究旨在探讨企业如何组合战略决策逻辑与冗余资源来构建数字商业模式。研究分析了战略决策逻辑与冗余资源对数字商业模式构建的单独与联合作用。在此基础上,通过对浙江177家企业数据应用模糊集定性比较分析方法,研究了数字商业模式构建所需的战略决策逻辑与冗余资源组态。结果显示,企业构建数字商业模式的组态是多样的,主要包括稳健的外部机会探索型、积极的内部条件利用型与双元型3种类型;构建效率型数字商业模式的组态与构建新颖型数字商业模式的组态存在显著的差异。研究结果也发现构建新颖型数字商业模式相比于构建效率型数字商业模式更强调投入企业内化的冗余资源与弱化因果逻辑影响而显得更激进。

数字经济时代农产品营销创新:逻辑、模式与路径

农产品营销创新对于促进农产品产业链扩容提质、发挥联农带农社会效益、推动我国农业农村现代化进程尤为重要。基于创新生态系统理论厘清农产品营销创新的理论逻辑,对创新实践具有重要意义。将创新资源、创新主体、创新技术、创新网络和创新环境等要素相应地演绎为数字资源、数字主体、数字技术、数字社群和数字场景,发现数字经济时代农产品营销创新依托数字资源、数字主体、数字技术、数字社群和数字场景五要素的有机融合、均衡协同和情境共享实现了系统整体最优。以数字资源整合、数字主体联动、数字技术应用、数字社群交互及数字场景共享为依托可以实现农产品全品类营销、全渠道营销、智能化营销、全媒体营销及沉浸式营销五种农产品营销创新模式。因此,可以通过数字资源延伸、数字主体协同、数字技术驱动、数字社群互融和数字场景构建,明确数字经济时代农产品营销创新路径,助力农产品营销拓展产品组合、培育多元主体、构筑信息生态、推进社会商务和深挖文化底蕴。

中国式城镇化:从传统城市化向新型城镇化转型的理论探索与实践创新

城市是人类文明的载体。人类文明经历了农业文明时代,进入到工业文明时代,开启了城市化进程。中国的城市化相比西方发达国家的城市化起步晚,因此在中国城市化前期无论是在理论上还是在实践上都是西方发达国家的跟随者和模仿者,以“物”为主的城市化成为发展的方向,因而也出现了若干城市病。新中国是中国共产党领导的国家,以人民群众的利益为根本遵循。因而,跟随西方传统城市化的发展,不符合中国共产党所提出的“人民城市人民建、人民城市为人民”的初心,也不符合中国的国情和发展规律。中国特色社会主义进入新时代,以习近平同志为核心的党中央果断选择了以人为本的新型城镇化道路,并以新型城镇化为抓手和新路径,扭转了中国城市化的发展方向,有力地推动了中国式现代化建设与中华民族现代文明的构建。中国从传统城市化向新型城镇化转型有其历史逻辑,也是“两个结合”的中国化与当代化表达。

英国市场模式职业教育管理制度:特征、局限与改进

英国市场模式职业教育管理制度具有四个本质特征:政府主要依靠经济手段干预职业教育的发展,非政府或半官方机构对职业教育的结果实施考核与认证,成本收益原则控制着职业教育培训的供给,个人必须对自己的教育和培训行为负责。该制度的狭隘性、逐利性、放任性和有限性是导致英国职业教育概念范围狭窄、企业低参与和低投入、运行混乱与成效不佳的主要原因。明确人才培养目标、开展外部质量监控,运用多种手段解决投入与参与问题,借助政府主导的培训项目推动各类劳动力的教育与培训,借助国家职业资格拓展职业教育概念、规范资格授予市场是英国政府改进市场模式局限性的主要举措。

应用混合逻辑动态模型预测控制器的磁轴承三电平调制策略

传统磁轴承三电平调制策略在数字控制系统中存在控制延迟问题,影响电流纹波抑制效果。针对上述问题,提出一种基于混合逻辑动态模型预测控制器的磁轴承三电平调制策略。基于混杂系统理论,建立混合逻辑动态模型,统一表征出驱动电路充电、放电和续流工作模态,实现三电平调制;结合模型预测控制理论,将所建立的混合逻辑动态模型作为预测模型,预测磁轴承的控制电流,实现对控制延迟的补偿,并将预测控制电流送入到代价函数中,得出驱动电路的最优控制信号;基于所提调制策略构建了磁轴承控制系统,并与传统调制策略进行对比。仿真结果表明:在轻载扰动工况下,所提调制策略相比于传统三电平滞环调制策略与传统三电平脉冲宽度调制(pulse width modulation,PWM)策略,电流纹波分别降低了49.90%和49.87%;在中载扰动工况下,所提调制策略相比于传统三电平滞环调制策略与传统三电平PWM策略,电流纹波分别降低了49.99%和49.84%;在重载扰动工况下,所提调制策略相比于传统三电平滞环调制策略与传统三电平PWM策略,电流纹波分别降低了50.08%和49.77%。在三电平调制机制的基础上,所提调制策略能够有效补偿一个采样周期的控制延迟,达到降低电流纹波的效果。

安全协议形式化分析方法研究综述

介绍了安全协议的基本概念和分类,然后对安全协议形式化分析方法进行了详细介绍,包括基于模态逻辑的方法、基于模型检测的方法、基于定理证明的方法和基于可证明安全性理论的方法。其中,基于模型检测的方法是目前应用最广泛的一种方法,因此详细介绍了一些常用的基于模型检测方法的工具。最后,总结了当前安全协议形式化分析方法的研究热点和未来的发展方向。

基于类C语言内存模型的复杂数据结构验证方法

对系统中操作复杂结构程序的正确性验证是保证软件高可信的重要途径,目前大多数基于高层抽象建模和程序结构拆分的方法难以满足复杂数据结构程序的验证要求。针对这一问题,论文提出基于类C语言内存模型的验证方法。首先,以内存块为基础将复杂数据结构的操作进行函数形式的定义和描述,形式化描述内存对象操作性质;其次,针对程序层定义了符合复杂结构描述的文法和语义,并基于符号化的程序逻辑进行推理。实验对嵌入式操作系统内核μC/OS-III中的复杂数据结构进行分析和自动化验证,断言描述和验证条件脚本通过了自动定理证明器的求解。