Mechanism analysis of regulating Turing instability and Hopf bifurcation of malware propagation in mobile wireless sensor networks

A dynamical model is constructed to depict the spatial-temporal evolution of malware in mobile wireless sensor networks(MWSNs). Based on such a model, we design a hybrid control scheme combining parameter perturbation and state feedback to effectively manipulate the spatiotemporal dynamics of malware propagation. The hybrid control can not only suppress the Turing instability caused by diffusion factor but can also adjust the occurrence of Hopf bifurcation induced by time delay. Numerical simulation results show that the hybrid control strategy can efficiently manipulate the transmission dynamics to achieve our expected desired properties, thus reducing the harm of malware propagation to MWSNs.

Compliant landing of a trotting quadruped robot based on hybrid motion/force robust control

A compliant landing strategy for a trotting quadruped robot on unknown rough terrains based on contact force control is presented. Firstly, in order to lower the disturbance caused by the landing impact force, a landing phase is added between the swing phase and the stance phase, where the desired contact force is set as a small positive constant. Secondly, the joint torque optimization of the stance legs is formulated as a quadratic programming(QP) problem subject to equality and inequality/bound constraints. And a primal-dual dynamical system solver based on linear variational inequalities(LVI) is applied to solve this QP problem. Furthermore, based on the optimization results, a hybrid motion/force robust controller is designed to realize the tracking of the contact force, while the constraints of the stance feet landing angles are fulfilled simultaneously. Finally, the experiments are performed to validate the proposed methods.

Max-plus-linear model-based predictive control for constrained hybrid systems: linear programming solution

In this paper, a linear programming method is proposed to solve model predictive control for a class of hybrid systems. Firstly, using the （max, ＋） algebra, a typical subclass of hybrid systems called max-plus-linear （MPL） systems is obtained. And then, model predictive control （MPC） framework is extended to MPL systems. In general, the nonlinear optimization approach or extended linear complementarity problem （ELCP） were applied to solve the MPL-MPC optimization problem. A new optimization method based on canonical forms for max-min-plus-scaling （MMPS） functions （using the operations maximization, minimization, addition and scalar multiplication） with linear constraints on the inputs is presented. The proposed approach consists in solving several linear programming problems and is more efficient than nonlinear optimization. The validity of the algorithm is illustrated by an example.

APPLICATION OF HYBRID AERO-ENGINE MODEL FOR INTEGRATED FLIGHT/PROPULSION OPTIMAL CONTROL

The real-time capability of integrated flight/propulsion optimal control （IFPOC） is studied. An appli- cation is proposed for IFPOC by combining the onboard hybrid aero-engine model with sequential quadratic pro- gramming （SQP）. Firstly, a steady-state hybrid aero-engine model is designed in the whole flight envelope with a dramatic enhancement of real-time capability. Secondly, the aero-engine performance seeking control including the maximum thrust mode and the minimum fuel-consumption mode is performed by SQP. Finally, digital simu- lations for cruise and accelerating flight are carried out. Results show that the proposed method improves real- time capability considerably with satisfactory effectiveness of optimization.

State Feedback Predictive Control for Hybrid System via Parametric Optimization

In this article, state feedback predictive controller for hybrid system via parametric programming is proposed. First, mixed logic dynamic （MLD） modeling mechanism for hybrid system is analyzed, which has a distinguished advantage to deal with the logic rules and constraints of a plant. Model predictive control algorithm with moving horizon state estimator （MHE） is presented. The estimator is adopted to estimate the current state of the plant with process disturbance and measurement noise, and the state estimated are utilized in the predictive controller for both regulation and tracking problems of the hybrid system based on MLD model. Off-line parametric programming is adopted and then on-line mixed integer programming problem can be treated as the parameter programming with estimated state as the parameters. A three tank system is used for computer simulation, results show that the proposed MHE based predictive control via parametric programming is effective for hybrid system with model/olant mismatch, and has a potential for the engineering applications.

Setup and application of a structural seismic hybrid simulation system on local area network

To implement structural hybrid simulation independent of the control system of any testing equipment in civil engineering, an external command control approach is put forward. Several setup technologies and the corresponding API approaches are investigated to simultaneously combine numerical simulation with physical testing. Hybrid program technology is put forward and described in detail, using Visual C++ program to effectively and accurately control testing equipment and MATLAB program to implement numerical simulation with easy extension. The control program of testing equipment and numerical simulation program are integrated by calling MATLAB engine in Visual C++. A hybrid simulation about a full-scale six-story masonry structure is carried out. The testing results manifest that the external command control approach has the versatility because of simple hardware connection and control program independent on control software of testing equipment; powerful program function of Visual C++ and flexible program of MATLAB are integrated by hybrid program technology; hybrid simulation system provides a realistic and cost-effective testing platform that enables earthquake engineer researchers to accurately and efficiently capture the seismic performance of large or complex structures without having to carry out physical testing of the entire structure.

MLD-MPC Approach for Three-Tank Hybrid Benchmark Problem

The present paper aims at validating a Model Predictive Control(MPC),based on the Mixed Logical Dynamical(MLD)model,for Hybrid Dynamic Systems(HDSs)that explicitly involve continuous dynamics and discrete events.The proposed benchmark system is a three-tank process,which is a typical case study of HDSs.The MLD-MPC controller is applied to the level control of the considered tank system.The study is initially focused on the MLD approach that allows consideration of the interacting continuous dynamics with discrete events and includes the operating constraints.This feature of MLD modeling is very advantageous when an MPC controller synthesis for the HDSs is designed.Once the MLD model of the system is well-posed,then the MPC law synthesis can be developed based on the Mixed Integer Programming(MIP)optimization problem.For solving this MIP problem,a Branch and Bound(B&B)algorithm is proposed to determine the optimal control inputs.Then,a comparative study is carried out to illustrate the effectiveness of the proposed hybrid controller for the HDSs compared to the standard MPC approach.Performances results show that the MLD-MPC approach outperforms the standardMPCone that doesn’t consider the hybrid aspect of the system.The paper also shows a behavioral test of the MLDMPC controller against disturbances deemed as liquid leaks from the system.The results are very satisfactory and show that the tracking error is minimal less than 0.1%in nominal conditions and less than 0.6%in the presence of disturbances.Such results confirm the success of the MLD-MPC approach for the control of the HDSs.

混合动力汽车转向稳定性多传感器融合控制技术

为了满足汽车行驶稳定性要求,当前依托于单一传感信息进行转向控制,容易忽略很多影响因素,使得控制后汽车转向质心侧偏角依旧较大。因此,混合动力汽车提出转向稳定性多传感器融合控制技术。考虑混合动力汽车转向过程中的动态特性,构建转向动力学模型,并计算出车辆理想横摆角速度。深入分析横摆角速度、滑移率对车辆转向稳定性的影响,得出期望的横摆力矩和滑移率调整力矩。将汽车转向稳定性控制问题看作二次规划问题,结合BP神经网络和常规PID控制器,设计转向稳定性控制算法,利用车辆转向参数的理想值、实际值和偏差值推算出稳定性控制参数。结合融合多传感器实时采集信息,推算出汽车转向姿态误差代入控制结构中,给出优化后的控制参数。实验结果表明:新提出的控制技术应用后,车辆转向的质心侧偏角不超过±0.012 rad/s,满足了混合动力汽车转向行驶要求。

双行星排混合动力客车动态规划能量管理策略研究

为解决混合动力系统传统动态规划(Dynamic Programming,DP)策略成本函数值受罚函数影响较大、平衡电量调试时间较长的问题,针对某款双行星排混合动力客车提出了变惩罚系数DP(Variable Penalty Coefficient DP,DP-VAR)策略和边界迭代DP(Boundary Iterative DP,DP-ITE)策略。同时,还提出了基于XGBoost算法的动态规划策略模式切换规则提取方法,并对自适应等效燃油消耗最小策略(Adaptive Equivalent Fuel Consumption Minimization Strategy,A-ECMS)进行了改进,建立了具有模式切换规则的A-ECMS策略。基于C-WTVC工况的仿真结果表明:(1)相比于DP策略,DPVAR和DP-ITE策略的控制规则更为明确且百公里油耗分别降低了1.18%和4.31%;(2)DP-ITE策略在取消罚函数的前提下具有终止SOC绝对收敛性;(3)优化后的A-ECMS策略较优化前的百公里油耗降低了1.17%。

钢包在线监测报警技术的研究及应用

为实现某钢厂钢包在线监测,以西门子S7-1200PLC为控制器,通过现场检测元器件、执行元件及PLC之间的控制与反馈,高效、安全地给出有效判断预警和反馈处理。通过分析解决日常生产过程中存在的钢包实际问题,完成了在线监测系统的搭建和功能的优化,提高了对钢包耐材的监控能力,实现了对钢包漏钢等事故的预防,提升了设备维护人员的技能,强化了现场的安全管理,同时降低了作业整体成本。

智能钢包底吹测控系统技术研究及应用

以西门子S7-200smart的PLC为控制器,通过现场检测元器件及PLC与气体质量流量控制和压力传感器之间的控制与反馈,实现了对某钢厂钢包烧底吹砖情况的高效、安全、有效的判断。通过分析解决了日常生产操作中存在的实际问题,优化了底吹测试系统程序,提高了底吹测控系统运行稳定性,提升了设备维护人员的技能,强化了现场的安全管理,同时降低了作业整体成本。

无人驾驶混合动力汽车轨迹跟踪节能控制融合研究

为进一步提高无人驾驶混合动力汽车轨迹跟踪精度和能耗经济性,提出了一种轨迹跟踪节能控制融合策略。首先,建立车辆运动学模型,采用模型预测控制策略对车辆进行轨迹跟踪控制;在此基础上,以速度为交互变量,提出了一种三阶段动态规划节能控制策略,在线优化最优经济性函数,以降低整车能耗总成本;最后,选择相互独立的纯跟踪轨迹跟踪算法与功率跟随节能控制策略进行比较。结果表明,所提出的轨迹跟踪节能控制融合策略提高了轨迹跟踪效果,降低了整车能耗总成本,轨迹跟踪精度提高了70.47%,纯电动和混合驱动模式下能耗总成本分别下降了4.52%和25.10%。

融合深度学习与过程机理的FCC装置关键参数软测量模型

产品产率作为催化裂化(FCC)装置的关键参数,构造其软测量模型对提升装置效益具有重要的现实意义,而原料与催化剂性质的缺失往往使得产率软测量模型性能迅速恶化。为此,以基于半监督学习的深度置信网络-极限学习机(DBN-ELM)算法为基础,将工艺过程机理模型与数据驱动模型集成,提出了可用于预测商业催化裂化装置产品产率的软测量混合建模方法。此外,还提出基于流程模拟的灵敏度分析-相关系数矩阵(SA-CCM)策略用于软测量模型主要输入变量的选择。结果表明,混合模型相比于数据驱动模型具有更优的模型性能,即预测精度提升43.9%、数据相关性(皮尔森系数)提升29.3%。这说明所提出的产率软测量混合建模方法使得模型的预测性能提高,能较好地适应原料与催化剂性质的变化。

基于DynaProg方法的混合动力汽车燃油经济性与排放的动态优化

为了改善混合动力汽车的燃油经济性,设计了基于DynaProg方法的动态规划(Dynamic Programming,DP)算法,优化能量分配策略。以并联混合动力汽车为研究对象,基于Matlab建立整车模型;以燃油消耗最小为目标,建立DynaProg最优控制的数学模型,求出已知工况下混合动力汽车全局最优的动力源工作状态;与传统混合动力汽车动态规划控制策略和基于规则的混合动力汽车控制策略在运算速度、油耗与排放上分别进行仿真分析比较。结果表明:采用基于DynaProg方法的动态规划控制策略,相较于采用传统动态规划控制策略,运算速度提升了22.46%;相较于采用规则的混合动力汽车控制策略,汽车燃油经济性提高了17.08%,一氧化碳(CO)和氮氧化物(NOx)尾气排放量分别降低了2.88%和16.29%。

二阶锥约束规划的机器人视觉闭环位姿自协调方法

将机器人“手-眼”位姿自协调视为无标定约束规划问题,提出一种基于二阶锥约束规划的视觉闭环控制方法。在图像平面和笛卡儿空间分别建立基于图像与基于位姿的视觉伺服控制算法;在路径约束和局部极小约束准则下构建二阶锥凸优化模型,实现了图像特征轨迹和机器人运动路径折中最优;将所提出的二阶锥约束规划模型嵌入自适应状态估计器,实现了机器人雅可比矩阵在线映射学习,解决了“手-眼”标定参数和视觉深度信息未知问题;最后通过无标定机器人视觉定位证明了二阶锥约束规划模型的有效性,真实环境抓取操作表明了机器人位姿自协调控制的可行性。

The E3 ubiquitin ligase CSIT1 regulates critical sterility-inducing temperature by ribosome-associated quality control to safeguard two-line hybrid breeding in rice

Two-line hybrid breeding can fully utilize heterosis in crops.In thermo-sensitive genic male sterile(TGMS)lines,low critical sterility-inducing temperature(CSIT)is vital to safeguard the production of two-line hybrid seeds in rice(Oryza sativa),but the molecular mechanism determining CSIT is unclear.Here,we report the cloning of CSIT1,which encodes an E3 ubiquitin ligase,and show that CSIT1 modulates the CSIT of thermo-sensitive genic male sterility 5(tms5)-based TGMS lines through ribosome-associated quality control(RQC).Biochemical assays demonstrated that CSIT1 binds to the 80S ribosomes and ubiquitinates abnormal nascent polypeptides for degradation in the RQC process.Loss of CSIT1 function inhibits the possible damage of tms5 to the ubiquitination system and protein translation,resulting in enhanced accumulation of anther-related proteins such as catalase to suppress abnormal accumulation of reactive oxygen species and premature programmed cell death in the tapetum,thereby leading to a much higher CSIT in the tms5-based TGMS lines.Taken together,our findings reveal a regulatory mechanism of CSIT,providing new insights into RQC and potential targets for future two-line hybrid breeding.

程控交换技术下混合组网方式的应用研究

程控交换技术以其高效、精准的数据传输能力,成为现代通信网络组网的核心力量。基于此,概述程控交换技术与现代通信组网技术,分别探究模拟环路中继对接组网方案、典型数字程控交换机对接接入方案以及一台程控交换机加脉冲编码调制(Pulse Code Modulation,PCM)传输复用器的组网方案,并分析程控交换技术在星型结构、树型结构以及混合组网中的应用,为现代混合组网提供参考。

基于PLC的自动化供水控制系统设计与实现

自动化供水控制系统是利用可编程逻辑控制器(PLC)实现的自动化控制系统,用于管理和控制供水的过程。PLC自动化供水系统在提高供水稳定性、效率和安全性方面具有重要意义,可以实现供水过程的智能化和自动化,为人们的生活和产业发展提供可靠的水资源保障。介绍了PLC自动化控制系统的结构、工作原理和主要功能,并以一个实际的供水控制系统项目为例进行了详细的设计和实现。

统一通信技术与程控交换混合组网方式的应用

近年来,随着通信技术的快速发展,用户对于通信服务的需求日益多样化与个性化,同时对技术标准提出更高的要求。通过程控交换与通信技术的组合,形成统一的组网方式,能够满足技术发展需求。文章主要探讨统一通信技术与程控交换混合组网方式的应用,基于其功能丰富、配置简单、灵活性高等优势,以软交换为例,总结混合组网方式的基本情况和存在的问题等,在此基础上对其发展方向进行展望。

Flexible substructure online hybrid test system using conventional testing devices

This paper presents a substructure online hybrid test system that is extensible for geographically distributed tests. This system consists of a set of devices conventionally used for cyclic tests to load the tested substructures onto the target displacement or the target force. Due to their robustness and portability, individual sets of conventional loading devices can be transported and reconfigured to realize physical loading in geographically remote laboratories. Another appealing feature is the flexible displacement-force mixed control that is particularly suitable for specimens having large disparities in stiffness during various performance stages. To conduct a substructure online hybrid test, an extensible framework is developed, which is equipped with a generalized interface to encapsulate each substructure. Multiple tested substructures and analyzed substructures using various structural program codes can be accommodated within the single framework, simply interfaced with the boundary displacements and forces. A coordinator program is developed to keep the boundaries among all substructures compatible and equilibrated. An Interuet-based data exchange scheme is also devised to transfer data among computers equipped with different software environments. A series of online hybrid tests are introduced, and the portability, flexibility, and extensibility of the online hybrid test system are demonstrated.