An Adaptive RBF Neural Network Control Method for a Class of Nonlinear Systems

This paper focuses on designing an adaptive radial basis function neural network(RBFNN) control method for a class of nonlinear systems with unknown parameters and bounded disturbances. The problems raised by the unknown functions and external disturbances in the nonlinear system are overcome by RBFNN, combined with the single parameter direct adaptive control method. The novel adaptive control method is designed to reduce the amount of computations effectively.The uniform ultimate boundedness of the closed-loop system is guaranteed by the proposed controller. A coupled motor drives(CMD) system, which satisfies the structure of nonlinear system,is taken for simulation to confirm the effectiveness of the method.Simulations show that the developed adaptive controller has favorable performance on tracking desired signal and verify the stability of the closed-loop system.

Robust H_∞ Load Frequency Control of Multi-area Power System With Time Delay:A Sliding Mode Control Approach

This paper is devoted to investigate the robust H∞sliding mode load frequency control(SMLFC) of multi-area power system with time delay. By taking into account stochastic disturbances induced by the integration of renewable energies,a new sliding surface function is constructed to guarantee the fast response and robust performance, then the sliding mode control law is designed to guarantee the reach ability of the sliding surface in a finite-time interval. The sufficient robust frequency stabilization result for multi-area power system with time delay is presented in terms of linear matrix inequalities(LMIs). Finally,a two-area power system is provided to illustrate the usefulness and effectiveness of the obtained results.

Controllability and observability of networked control systems with time-varying delays

The controllability and observability of networked control systems are studied. Aiming at the networked control system with time-varying delay, the sufficient and necessary conditions for complete controllability and complete observability of the system are presented, respectively. Because of Markov characteristic of the network-induced delay, in terms of stochastic theory, a sufficient and necessary condition for completely mean value controllability of networked control systems is obtained. Further, the conditions that the controllability and observability of networked control systems are equivalent to the initial time-invariant system are given. Controllability and observability realization indexes are also discussed, respectively. The numerical example demonstrates the effectiveness of the proposed theory.

An Exploration on Adaptive Iterative Learning Control for a Class of Commensurate High-order Uncertain Nonlinear Fractional Order Systems

This paper explores the adaptive iterative learning control method in the control of fractional order systems for the first time. An adaptive iterative learning control(AILC) scheme is presented for a class of commensurate high-order uncertain nonlinear fractional order systems in the presence of disturbance.To facilitate the controller design, a sliding mode surface of tracking errors is designed by using sufficient conditions of linear fractional order systems. To relax the assumption of the identical initial condition in iterative learning control(ILC), a new boundary layer function is proposed by employing MittagLeffler function. The uncertainty in the system is compensated for by utilizing radial basis function neural network. Fractional order differential type updating laws and difference type learning law are designed to estimate unknown constant parameters and time-varying parameter, respectively. The hyperbolic tangent function and a convergent series sequence are used to design robust control term for neural network approximation error and bounded disturbance, simultaneously guaranteeing the learning convergence along iteration. The system output is proved to converge to a small neighborhood of the desired trajectory by constructing Lyapnov-like composite energy function(CEF)containing new integral type Lyapunov function, while keeping all the closed-loop signals bounded. Finally, a simulation example is presented to verify the effectiveness of the proposed approach.

Occurrence,Damage and Control Index of Rape Sclerotinia sclerotiorum in Mechanical Direct Seeding Fields

Real-time monitoring and investigation in fields showed that the disease starting period of Sclerotinia sclerotiorum in mechanical direct seeding fields was earlier. Disease conditions rose with the advancing growth stage, which grew more quickly during the early stage of anthesis, flower withering period and early si- lique mature period. Yield less rate increased with the increasing stem disease rate and disease index. Yield loss rate（ Y1 ） had extremely significant correlation with stem disease rate（X1 ）and disease index（X2 ）, and the related models were Y1 = 0. 544 330 2X1 -2. 316 1 （n = 14, r --0. 986 0 ＊ ＊ ）and YI = 0. 673 408 X2 - 1. 016 4 （ n = 14 ,r = 0.977 2 ~ ＊ ）, respectively. Disease control indexes for one time control against S. sclerotlorum in mechanical direct seeding fields were stem disease rate as 11.8% and disease index as 7.6, respectively. The control indexes for twice control against the disease were stem disease rate as 16.8% and disease index as 11.7. This paper provided a new scientific basis for preventing S. sclerotiorum in mechanical direct seeding fields.

Effect of Six-fourth Generation Cnaphalocrocis medinalis (Guenée) on Rice yield and Control Index

[Objective] The study aimed to find out effects of six-fourth generation Cnaphalocrocis medinalis （Guenée） on rice production in Yangzhou district and its control index. [Method] Through artificial control of insects in field, four different insect volume gradients were set, the effects of different C. medinalis amounts on leaf roll rate and yield loss of Wuyunjing No.23 were determined. [Result] The results showed that within the range of 0-20 head/hill, as the amounts of insect increased, rice yield decreased, leaf roll rate and rice yield loss rate increased. According to 3% economic permit loss rate, the control index of C. medinalis on Wuyunjing No.23 was 173 head/hill. [Conclusion] The study would provide theoretical basis for effective controlling of six-fourth generation C. medinalis in Yangzhou district.

A Novel Evolutionary-Fuzzy Control Algorithm for Complex Systems

This paper presents an adaptive fuzzy control scheme based on modified genetic algorithm. In the control scheme, genetic algorithm is used to optimze the nonlinear quantization functions of the controller and some key parameters of the adaptive control algorithm. Simulation results show that this control scheme has satisfactory performance in MIMO systems, chaotic systems and delay systems.

Networked Control Systems:A Survey of Trends and Techniques

Networked control systems are spatially distributed systems in which the communication between sensors, actuators,and controllers occurs through a shared band-limited digital communication network. Several advantages of the network architectures include reduced system wiring, plug and play devices,increased system agility, and ease of system diagnosis and maintenance. Consequently, networked control is the current trend for industrial automation and has ever-increasing applications in a wide range of areas, such as smart grids, manufacturing systems,process control, automobiles, automated highway systems, and unmanned aerial vehicles. The modelling, analysis, and control of networked control systems have received considerable attention in the last two decades. The ‘control over networks’ is one of the key research directions for networked control systems. This paper aims at presenting a survey of trends and techniques in networked control systems from the perspective of ‘control over networks’, providing a snapshot of five control issues: sampled-data control, quantization control, networked control, event-triggered control, and security control. Some challenging issues are suggested to direct the future research.

MULTITASK SCHEDULING IN NETWORKED CONTROL SYSTEMS WITH APPLICATION TO LARGE SCALE VEHICLE CONTROL

Aiming at scheduling problems of networked control system （NCS） used to fulfill motion synthesis and cooperation control of the distributed multi-mechatronic systems, the differences of network scheduling and task scheduling are compared, and the mathematic description of task scheduling is presented. A performance index function of task scheduling of NCS according to task balance and traffic load matching principles is defined. According to this index, a static scheduling method is designed and implemented to controlling task set simulation of the DCY100 transportation vehicle. The simulation results are applied successfully to practical engineering in this case so as to validate the effectiveness of the proposed performance index and scheduling algorithm.

Multi-Variable Flocking Control for Multi-Agent Systems via a Received Signal Strength Indicator

A novel flocking control approach is proposed for multi-agent systems by integrating the variables of velocities, motion directions, and positions of agents. A received signal strength indicator （RSSI） is applied as a variable to estimate the inter-distance between agents. A key parameter that contains the local information of agents is defined, and a multi-variable controller is proposed based on the parameter. For the position control of agents, the RSSI is introduced to substitute the distance as a control variable in the systems. The advantages of RSSI include that the relative distance between every two agents can be adjusted through the communication quality under different environments, and it can shun the shortage of the limit of sensors. Simulation studies demonstrate the effectiveness of the proposed control approach.

Chinese quality control indices for standardized diagnosis and treatment of renal cancer(2022 edition)

Renal cancer is one of the most common malignancies of the urinary system,and the number of deaths continues to increase.The standardized management of the diagnosis and treatment of renal cancer is challenging due to the great differences in the diagnosis and treatment of renal cancer in different regions.The Renal Cancer Expert Committee of the National Cancer Quality Control Center(NCQCC)identified a lack of authoritative quality control standards as an opportunity to utilize its multidisciplinary membership to improve the standardized diagnosis and treatment of renal cancer.The Renal Cancer Expert Committee of the NCQCC aims to promote quality control and national standardization,uniformity,and normalization of renal cancer diagnosis and treatment,which ultimately improved the survival rate and quality of life of renal cancer patients.A panel of experts with renal cancer surgery,renal cancer medicine,medical imaging,pathology and radiotherapy were drawn together and determined the quality control standards for the standardized diagnosis and treatment of renal cancer.The Indices includes 20 items that cover all key areas in the diagnosis and treatment of renal cancer,such as standard diagnosis,surgery treatment,systemic treatment,and prognostic evaluation.

Intelligent PID Control of Pneumatic Rotary Actuator Angle Servo-System

In order to solve the problems that make the orientation of pneumatic rotary actuator inaccurate, a newly intelligent PID control algorithm is proposed. Pneumatic rotary actuator angle servo-system uses electropneumatic proportional valve as control device, which changes the pressure of cavity and then pushes the actuator to revolve to the expected position. Using intelligent PID control algorithm, several special methods were put forward to overcome the connatural shortcomings of pneumatic system and make the rotary actuator track the expected value timely and accurately. Experimental results have shown that by using this intelligent algorithm, the performance index of system was improved greatly.

Sliding Mode Control of Coupled Tank Systems Using Conditional Integrators

For the problem of set point regulation of the liquid level in coupled tank systems, we present a continuous sliding mode control(SMC) with a "conditional integrator", which only provides integral action inside the boundary layer. For a special choice of the controller parameters, our design can be viewed as a PID controller with anti-windup and achieves robust regulation.The proposed controller recovers the transient response performance without control chattering. Both full-state feedback as well as output-feedback designs are presented in this work. Our output-feedback design uses a high-gain observer(HGO) which recovers the performance of a state-feedback design where plant parameters are assumed to be known. We consider both interacting as well as non-interacting tanks and analytical results for stability and transient performance are presented in both the cases. The proposed controller continuous SMC with conditional integrators(CSMCCI) provides superior results in terms of the performance measures as well as performance indices than ideal SMC, continuous SMC(CSMC) and continuous SMC with conventional integrator(CSMCI). Experimental results demonstrate good tracking performance in spite of unmodeled dynamics and disturbances.

CAutoCSD-Evolutionary Search and Optimisation Enabled Computer Automated Control System Design

This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of “computer-aided control system design” (CACSD) to novel “computer-automated control system design” (CAutoCSD). The first step towards this goal is to accommodate, under practical constraints, various design objectives that are desirable in both time and frequency domains. Such performance-prioritised unification is aimed at relieving practising engineers from having to select a particular control scheme and from sacrificing certain performance goals resulting from pre-commitment to such schemes. With recent progress in evolutionary computing based extra-numeric, multi-criterion search and optimisation techniques, such unification of LTI control schemes becomes feasible, analytical and practical, and the resultant designs can be creative. The techniques developed are applied to, and illustrated by, three design problems. The unified approach automatically provides an integrator for zero-steady state error in velocity control of a DC motor, and meets multiple objectives in the design of an LTI controller for a non-minimum phase plant and offers a high-performance LTI controller network for a non-linear chemical process.

面向工程造价优化的成本控制策略研究

以北京市门头沟区龙泉镇大峪化工厂及周边地块棚户区改造及环境整治项目为例,分析项目的施工难点。首先建立了工程造价评估指标体系,阐述了指标体系的建立原则。面向工程实践,给出了指标体系所包含的关键要素。在此基础上,基于PSO–LSSVM建立智能化评估模型,为各类施工方案下施工成本的分析提供工具。最终给出最佳的控制策略。以项目的桩基施工和地上主体结构施工为例,从进度控制角度出发得到了成本控制策略。工程应用表明,本研究方法为工程造价优化与成本控制提供了新的思路和方法。

绝经后骨质疏松症与控制性营养状况评分及系统性免疫炎症指数的关系

背景:控制性营养状况评分和系统性免疫炎症指数作为评估个体营养和炎症状态的工具,已被证实与多种慢性疾病的风险和预后相关,然而它们在预测绝经后骨质疏松症方面的应用价值尚未得到充分研究。目的:探讨控制性营养状况评分和系统性免疫炎症指数在预测绝经后骨质疏松症的应用价值。方法:回顾性分析2022年1月至2024年4月于辽宁中医药大学附属第二医院及康平分院接受治疗的420例绝经后女性患者的临床资料,其中骨质疏松组205例、骨量正常组215例。选取年龄、绝经年限、体质量指数、骨折史、吸烟史和饮酒史作为协变量,通过倾向性评分匹配将两组患者以1∶1的比例匹配,以平衡两组间的协变量。匹配后两组患者各142例,检测两组患者血清中Ⅰ型前胶原氨基端前肽、β-胶原降解产物、甲状旁腺激素和25-羟基维生素D水平,通过血清白蛋白、总胆固醇水平及中性粒细胞计数、淋巴细胞计数、血小板计数评估控制性营养状况评分与系统性免疫炎症指数,应用受试者工作特征曲线分析控制性营养状况评分和系统性免疫炎症指数的最佳截断值和预测效能。利用皮尔逊或斯皮尔曼相关性分析控制性营养状况评分、系统性免疫炎症指数及骨密度之间的关系,使用Logistic回归模型分析女性绝经后骨质疏松症的影响因素。结果与结论:(1)匹配后,骨质疏松组患者血清Ⅰ型前胶原氨基端前肽、β-胶原降解产物、甲状旁腺激素水平均高于骨量正常组(P<0.001),25-羟基维生素D水平低于骨量正常组(P<0.001),营养不良率和免疫炎症指数均高于骨量正常组(P<0.001);(2)相关性分析显示,控制性营养状况评分与系统性免疫炎症指数呈正相关(r=0.462,P<0.001),控制性营养状况评分、系统性免疫炎症指数与股骨颈骨密度、腰椎L1-L4骨密度呈负相关(r=-0.322,P<0.001;r=-0.362,P<0.001;r=-0.322,P<0.001;r=-0.340,P<0.001);(3)倾向性评分匹配前后的多因素Logistic回归分析结果显示,控制性营养状况评分和系统性免疫炎症指数均为绝经后骨质疏松症的危险因素;(4)匹配后的受试者工作特征曲线显示,控制性营养状况评分和系统性免疫炎症指数的曲线下面积分别为0.758和0.754,两者最佳截断值分别为2.5和694.62,提示两者在预测绝经后女性骨质疏松方面的预测性能良好。结果表明:控制性营养状况评分和系统性免疫炎症指数为有效预测绝经后骨质疏松症的工具,可用于临床预防及早期识别高风险的绝经后女性,同时也提示机体营养状况及炎症指标可能是绝经后骨质疏松症的发病机制之一。

Stabilization of Uncertain Systems With Markovian Modes of Time Delay and Quantization Density

This work studies the stabilization of a class of control systems that use communication networks as signal transmission medium. The lateral motion of independently actuated four-wheel vehicle is modeled as an uncertain-linear system. Time delay and quantization density are modeled as Markov chains.The networked control systems(NCSs) with plants being lateral motion are first transformed to switched linear systems with uncertain parameters. Sufficient and necessary conditions for the stochastic stability of closed-loop networked control systems are then established. By solving the matrix inequalities, this work presents an output-feedback controller that depends on the modes of time delay and quantization density. The controller performance is illustrated via a vehicular lateral motion system.

The Control Efficiency of Plant Alcohol Extracts on the Laboratory Populations of Myzus persicae(Sulzer)and Lipaphis erysimi (Kaltenbach)

The effects of semiochemicals extracted from 63 species of plants, on peach aphid (Myzus per-sicae) and mustard aphid (Lipaphis erysimi), were studied in laboratory. The deterrent rate, reproduction deterrent index and the interferential index of population control (IIPC) was used to evaluate the efficiency of semiochemicals on population control of the two target aphids. The results showed that the extracts of 34 species of common plants have noticeable effect on both aphid populations, especially, Xanthium sibiricum Petr. Et Widd. and Syngonium podophyllum Schott. These plant extracts could be used to construct the plant pro-tectant to protect crops.

Chinese quality control indices for standardized diagnosis and treatment of gastric cancer(2022 edition)

Gastric cancer is one of the most common malignancies of the digestive system,and the number of deaths continues to increase.The standardized management of the diagnosis and treatment of gastric cancer is challenging due to the great differences in the diagnosis and treatment of gastric cancer in different regions.The Gastric Cancer Expert Committee of the National Cancer Quality Control Center(NCQCC)identified a lack of authoritative quality control standards as an opportunity to utilize its multidisciplinary membership to improve the standardized diagnosis and treatment of gastric cancer.The Gastric Cancer Expert Committee of the NCQCC aims to promote quality control and national standardization,uniformity,and normalization of gastric cancer diagnosis and treatment,which ultimately improved the survival rate and quality of life of gastric cancer patients.A panel of experts with gastrointestinal cancer surgery,gastrointestinal cancer medicine,medical imaging,pathology and radiotherapy were drawn together and determined the quality control standards for the standardized diagnosis and treatment of gastric cancer.The authors then utilized a modified Delphi approach to generate consensus recommendations.