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Neural network control for earthquake structural vibration reduction using MRD

Khaled ZIZOUNI, Leyla FALI, Younes SADEK, Ismail Khalil BOUSSERHANE

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5, Pages 1171-1182 doi: 10.1007/s11709-019-0544-4

Abstract: intended for exposure to strong earthquake loads are designed and equipped with high technologies of controlOne of these technologies used in the protection of structures is the semi-active control using a MagnetoIn this study, a neural network controller is proposed to control the MR damper to eliminate vibrationsThe proposed controller is derived from a linear quadratic controller designed to control an MR damperEquipped with a feedback law the proposed control is coupled to a clipped optimal algorithm to adapt

Keywords： MR damper semi-active control earthquake vibration neural network linear quadratic control

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Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction

Li Yunhua,Yang Guilin

Strategic Study of CAE 2005, Volume 7, Issue 9, Pages 25-29

Abstract:

This paper surveys the development history and the relative key technology of the control and manipulatingand synthesis based on network control by field-bus control.bridge in the Shanghai suspension magnetic railway as example, the design method and control strategyof the network control system based on the configuration of the field bus control system and PC104 airborneindustrial control computer are discussed.

Keywords： construction machinery control manipulation network control

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PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 418-422 doi: 10.1007/s11465-010-0117-7

Abstract: Because it is difficult for the traditional PID algorithm for nonlinear time-variant control objectsto obtain satisfactory control results, this paper studies a neuron PID controller.The PID controller is used to control a nonlinear time-variant membrane structure inflation system.Results show that the neural network PID controller can adapt to the changes in system structure parametersand fast track the changes in the input signal with high control precision.

Keywords： PID neural network membrane structure

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Design, analysis, and neural control of a bionic parallel mechanism

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 468-486 doi: 10.1007/s11465-021-0640-8

Abstract: movement coordination and versatile locomotion of mammals, the structural design and neuromechanical controlThe neural control of the parallel mechanism is realized by constructing a neuromechanical network, which

Keywords： neural control behavior network rhythm motion pattern

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Study on Distribution Method of Auto-control Valves in Water Supply Network

Zhang Hongwei,Guo Yiping,Niu Zhiguang,Zhang Li

Strategic Study of CAE 2005, Volume 7, Issue 7, Pages 71-75

Abstract:

This paper presented a new approach to realize the optimal distribution of auto-control valves inwater supply network by hydraulic calculation.Firstly, the local headloss of the auto-control valve was introduced to the pipe network's hydraulicLast, this approach was tried on an example water supply network, and a general principle for the optimaldistribution of auto-control valve was obtained.

Keywords： auto-control valve water supply network distribution influencing degree on network

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Continuous path control of robot arm in network-based remote control

Zheng Hua, Cong Shuang

Strategic Study of CAE 2008, Volume 10, Issue 10, Pages 91-95

Abstract:

By discussing the drawbacks of a 2-dof robot arm remote control basedon the point-to-point control, the continuous path control method is applied to the joint-coordinate-space-basedserial robot remote control system.The condition needed to realize the continuous control is analyzed and the computation formula of theThe actual remote control experiment is implemented, and the continuous and smooth movement results are

Keywords： remote control continuous path control robot arm system

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Efficient controller area network data compression for automobile applications

Yu-jing WU,Jin-Gyun CHUNG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1, Pages 70-78 doi: 10.1631/FITEE.1400136

Abstract: Controller area networks (CANs) have been designed for multiplexing communication between electronic controlunits (ECUs) in vehicles and many high-level industrial control applications.

Keywords： Controller area network (CAN) Electronic control units (ECUs) Data compression Signal rearrangement

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1, Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: However, the TBM control parameters set based on operator experience may not necessarily be suitableHence, a method to optimize TBM control parameters using an improved loss function-based artificial neuralnetwork (ILF-ANN) combined with quantum particle swarm optimization (QPSO) is proposed herein.Inspired by the regularization technique, a custom artificial neural network (ANN) loss function basedTBM performance indicators is developed in the form of a penalty function to adjust the output of the network

Keywords： tunnel boring machine control parameter optimization quantum particle swarm optimization artificialneural network tunneling energy efficiency

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Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2, Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract:

A neural-network (NN)-based active control system was proposed to reduce the low frequency noise radiationFeedback control system was built, in which neural network controller (NNC) and neural network identifierMulti-frequency control in frequency domain was achieved by simulation through the NN-based control systemsA pre-testing experiment of the control system on a real simply supported plate was conducted.The NN-based control algorithm was shown to perform effectively.

Keywords： active vibration control (AVC) neural network (NN) low frequency noise frequency domain control multi-frequencycontrol

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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network

Xuewei QI,Ke LI,Walter D. POTTER

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2, Pages 341-351 doi: 10.1007/s11783-015-0776-z

Abstract: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedsample space is hybridized with PSO both in sequential and in parallel to improve population diversity controlFor the large size Balerma network, the parallel hybrid achieved a slightly lower minimum (1.921M?)record suggests that constructing an EDA sample space with historic best positions can improve diversity controlParallel hybridization also helps to improve diversity control yet its effect is relatively less significant

Keywords： particle swarm optimization (PSO) diversity control estimation of distribution algorithm (EDA) waterdistribution network (WDN) premature convergence hybrid strategy

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Comparative study of various artificial intelligence approaches applied to direct torque control of induction

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

Frontiers in Energy 2013, Volume 7, Issue 4, Pages 456-467 doi: 10.1007/s11708-013-0264-8

Abstract: In this paper, three intelligent approaches were proposed, applied to direct torque control (DTC) ofreplace conventional hysteresis comparators and selection table, namely fuzzy logic, artificial neural networkThe simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inferencesystem based direct torque control (ANFIS-DTC).Compared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC),

Keywords： adaptive neuro-fuzzy inference system (ANFIS) artificial neural network direct torque control (DTC) fuzzy

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Current Source Active Power Filter Control UsingNeural Network Technologies

Wang Ping,Zhang Ke, Xu Huijun

Strategic Study of CAE 2007, Volume 9, Issue 1, Pages 40-43

Abstract:

In this paper,the application of neural network to power converter controlis discussed.A new hysteresis comparator constructed by using neural network is introduced.Hysteresisband control is an effective and simple control method.It can easily run without many system parameters.ButThe control method that combines the neural network technology with the hysteresis band technology hasa high performance in response of current.Through training the neural network can learn the control

Keywords： source filter neural network hysteresis comparator

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Newdevelopments in control design techniques of logical control networks Review Articles

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2, Pages 220-233 doi: 10.1631/FITEE.1900397

Abstract: The control design problem plays a fundamental role in the study of logical control networks (LCNs).This paper presents a detailed survey on new developments in control design techniques of LCNs.Then, we move on to some new developments for control design techniques of LCNs, including the reachableset approach, the pinning control technique, the control Lyapunov function approach, the event-triggeredcontrol technique, and the sampled-data control technique.

Keywords： Logical control network Control design Semi-tensor product of matrices

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Solution of Network-induced Delay Using GPC With Predictive Error Compensation

Wang Dongqing

Strategic Study of CAE 2005, Volume 7, Issue 8, Pages 60-65

Abstract:

With regard to the characteristics of uncertain network-induced delay, an idea of using GeneralizedPredictive Control (GPC) is proposed in networked control systems.mismatch and uncertainty of a system, an error predictive model is further built based on BP neural network, and error predictive value is used to compensate output predictive value, which forms a new controlRandom-delay-time characteristic of data transmission is tested in a networked control system.

Keywords： networked control systems (NCS) uncertain delay GPC neural network

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The Research and Implementation of EAP - FAST Protocol in Public Wireless Local Area Network

Cao Ping,Pei Wenjiang

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 78-82

Abstract: This friendly and easily deployable network access solution will be widely used in WLAN.The authors research and design this protocol in public wireless local area network, and implement the

Keywords： public wireless local area network port based network access control (802.1x) flexible authentication