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Fast adaptive regression-based model predictive control

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Control Theory and Technology 2023年第4期21卷 555-570页

作者： Eslam Mostafa Hussein a.aly Ahmed Elliethy Electrical and Computer Engineering Military Technical CollegeCairo14627Egypt

Model predictive control(MPC)is an optimal control method that predicts the future states of the system being controlled and estimates the optimal control inputs that drive the predicted states to the required *** computations of the MPC are performed at pre-determined sample instances over a finite time *** number of sample instances and the horizon length determine the performance of the MPC and its computational cost.A long horizon with a large sample count allows the MPC to better estimate the inputs when the states have rapid changes over time,which results in better performance but at the expense of high computational ***,this long horizon is not always necessary,especially for slowly-varying *** this case,a short horizon with less sample count is preferable as the same MPC performance can be obtained but at a fraction of the computational *** this paper,we propose an adaptive regression-based MPC that predicts the best minimum horizon length and the sample count from several features extracted from the time-varying changes of the *** proposed technique builds a synthetic dataset using the system model and utilizes the dataset to train a support vector regressor that performs the *** proposed technique is experimentally compared with several state-of-the-art techniques on both linear and non-linear *** proposed technique shows a superior reduction in computational time with a reduction of about 35–65%compared with the other techniques without introducing a noticeable loss in performance.

关键词： Regression a.alysis MPC Control Parametrization Wavelet Support vector regression(SVR) Optimization

Design and Implementation of Wheel Chair Control System Using Particle Swarm Algorithm

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Computers, Materials & Continua 2021年第2期66卷 2005-2023页

作者： G.Mousa Amr Almaddah Ayman a.aly Mechanical Engineering Department College of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical and Computer Engineering College of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Mechanical Engineering Department College of EngineeringTaif UniversityTaif21944Saudi Arabia

About 10–20%of every country’s population is *** are at least 650 million people with a kind of disability *** and support are perquisites for many handicap people for participating in *** powered wheelchairs provide efficient mobility to motor impaired *** this paper a smart controller of a wheel chair mobile robot using Particle Swarm Optimization Proportional controller(PSO-P)was proposed where(PSO)algorithm was utilized to tune the proportional controller’s gains for each *** to improve wheelchair tracking trajectory,a kinematic model of a robot with linear and angular velocities parameters was *** controller performance was examined using the system parameters with respect to trajectory references.A simulation of the proposed controller showed good correlation of the trajectory track under different loading conditions.

关键词： PSO mobile robot trajectory tracking tracking control

The Impact of Hydrogen Energy Storage on the Electricity Harvesting

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Intelligent Automation & Soft Computing 2023年第5期36卷 1963-1978页

作者： Ghassan Mousa Ayman a.aly Imran Khan DagØivind Madsen Department of Mechanical Engineering Faculty of EngineeringK.C.KARE Energy Research and Innovation CentreKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mechanical Engineering College of EngineeringTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Electrical Engineering University of Engineering&Technology PeshawarPakistan University of South-Eastern Norway Bredalsveien 143511 HønefossNorway

The economics,infrastructure,transportation,and level of living of a country are all inﬂuenced by *** gap between energy usage and availabil-ity is a global ***,all countries rely on fossil fuels for energy genera-tion,and these fossil fuels are not *** hydrogen proton exchange membrane fuel cell(PEMFC)power system is both clean and efﬁ*** fuel delivery system and the PEMFC make up the majority of the PEMFC power *** lack of an efﬁcient,safe,and cost-effective hydrogen storage system is still a major barrier to its widespread *** hydrogen storage has the large capacity,safety and good *** a hydrogen source system,the hydro-gen supply characteristics affect the characteristics of the PEMFC at the *** this paper,a mathematical model of a hydrogen source reactor and PEMFC based on chemical absorption/desorption of solid hydrogen storage is established,and a simulation model of a PEMFC power system coupled with solid hydrogen storage is established using MATLAB/SIMULINK software,and the hydrogen supply of the reactor is a.alyzed in *** inﬂuence of prominent factors is *** research results show that the proposed method improved the system *** the same time,increasing the PEMFC temperature,increasing the area of the proton exchange membrane and the oxygen supply pressure can increase the output power of the power system.

关键词： Hydrogen energy fuel cell power system optimization electrical energy harvesting

Multi-dimensional Security Range Query for Industrial IoT

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Computers, Materials & Continua 2022年第7期72卷 157-179页

作者： Abdallah Abdallah Ayman a.aly Bassem F.Felemban Imran Khan Ki-Il Kim School of Engineering Technology Al Hussein Technical University(HTU)Amman11831Jordan Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Computer Science and Engineering Chungnam National UniversityDaejeon34134Korea

The Internet of Things(IoT)has allowed for significant advancements in applications not only in the home,business,and environment,but also in factory *** Internet of Things(IIoT)brings all of the benefits of the IoT to industrial contexts,allowing for a wide range of applications ranging from remote sensing and actuation to decentralization and *** expansion of the IoT has been set by serious security threats and obstacles,and one of the most pressing security concerns is the secure exchange of IoT data and fine-grained access control.A privacypreserving multi-dimensional secure query technique for fog-enhanced IIoT was proposed in light of the fact that most existing range query schemes for fog-enhanced IoT cannot provide both multi-dimensional query and privacy *** query matrix was then decomposed using auxiliary vectors,and the auxiliary vectorwas then processed usingBGNhomomorphic encryption to create a query ***,the query trapdoor may be matched to its sensor data using the homomorphic computation used by an IoT device *** the application of particular auxiliary vectors,the spatial complexity might be efficiently *** homomorphic encryption property might ensure the security of sensor data and safeguard the privacy of the user’s inquiry *** results of the experiments reveal that the computing and communication expenses are modest.

关键词： Internet of things data security ciphertext privacy encryption

An Efficient Machine Learning Based Precoding Algorithm for Millimeter-Wave Massive MIMO

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Computers, Materials & Continua 2022年第6期71卷 5399-5411页

作者： Waleed Shahjehan Abid Ullah Syed Waqar Shah Ayman a.aly Bassem F.Felemban Wonjong Noh Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia School of Software Hallym UniversityChuncheon24252Korea

Millimeter wave communication works in the 30–300 GHz frequency range,and can obtain a very high bandwidth,which greatly improves the transmission rate of the communication system and becomes one of the key technologies of fifth-generation(5G).The smaller wavelength of the millimeter wave makes it possible to assemble a large number of antennas in a small *** resulting array gain can compensate for the path loss of the millimeter *** this feature,the millimeter wave massive multiple-input multiple-output(MIMO)system uses a large antenna array at the base *** enables the transmission of multiple data streams,making the system have a higher data transmission *** the millimeter wave massive MIMO system,the precoding technology uses the state information of the channel to adjust the transmission strategy at the transmitting end,and the receiving end performs equalization,so that users can better obtain the antenna multiplexing gain and improve the system *** paper proposes an efficient algorithm based on machine learning(ML)for effective system performance in mmwave massive MIMO *** main idea is to optimize the adaptive connection structure to maximize the received signal power of each user and correlate the RF chain and base station *** results show that,the proposed algorithm effectively improved the system performance in terms of spectral efficiency and complexity as compared with existing algorithms.

关键词： MIMO phased array precoding scheme machine learning optimization

Industrial Recycling Process of Batteries for EVs

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Computers, Materials & Continua 2023年第2期74卷 4571-4586页

作者： Abdallah Abdallah Muhamed Dauwed Ayman a.aly Bassem F.Felemban Imran Khan DagФivind Madsen School of Engineering Technology Al Hussein Technical University(HTU)Amman11831Jordan Department of Medical Instrumentation Techniques Engineering Dijlah University CollegeBaghdadIraq Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan University of South-Eastern Norway Bredalsveien 143511 H?nefossNorway

The growing number of decarbonization standards in the transportation sector has resulted in an increase in demand for electric *** energy sources have the ability to bring the fossil fuel age to an *** storage devices,particularly lithium-ion batteries,are critical for this transition’s *** is owing to a combination of favorable characteristics such as high energy density and minimal *** the environmental degradation caused by hazardous wastes and the scarcity of some resources,recycling used lithium-ion batteries has significant economic and practical *** efforts have been undertaken in recent years to recover cathode materials(such as high-value metals like cobalt,nickel,and lithium).Regrettably,the regeneration of lower-value-added anode materials(mostly graphite)has received little ***,given the widespread use of carbon-based materials and the higher concentration of lithium in the anode than in the environment,anode recycling has gotten a lot of *** a result,this article provides the most recent research progress in the recovery of graphite anode materials from spent lithium ion batteries,a.alyzing the strengths and weaknesses of various recovery routes such as direct physical recovery,heat treatment recovery,hydrometallurgy recovery,heat treatment-hydrometallurgy recovery,extraction,and electrochemical methods from the perspectives of energy,environment,and economy;additionally,the reuse of recycled anode mats is ***,the problems and future possibilities of anode recycling are *** enable the green recycling of wasted lithium ion batteries,a low energy-consuming and ecologically friendly solution should be investigated.

关键词： Industrial recycling process lithium ion batteries electro-chemical process remanufacturing

An Optimal Method for Supply Chain Logistics Management Based on Neural Network

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Computers, Materials & Continua 2022年第11期73卷 4311-4327页

作者： Abdallah Abdallah Mohammed Dauwed Ayman a.aly Bassem F.Felemban Imran Khan Bong Jun Choi School of Engineering Technology Al Hussein Technical University(HTU)Amman11831Jordan Department of Medical Instrumentation Techniques Engineering Dijlah University CollegeBaghdadIraq Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan School of Computer Science and Engineering Soongsil UniversitySeoulKorea

From raw material storage through final product distribution,a cold supply chain is a technique in which all activities are managed by *** expansion in the number of imported meat and other comparable commodities,as well as exported seafood has boosted the performance of cold chain logistics service *** the basis of the standard basicpursuit(BP)neural network,a rough BP particle swarm optimization(PSO)neural network model is constructed by combining rough set and particle swarm algorithms to aid cold chain food production enterprises in quickly picking the best cold chain logistics service *** reduce duplicate information in the original data and make the input index more compact,the model employs rough *** of using gradient descent to train the weights of the neural network,particle swarm optimization is utilized to ensure that the output results are not readily caught in local minima and that the network’s generalization capacity is ***,an example is presented to demonstrate the model’s validity and *** findings reveal that the model’s prediction error is 40.94 percent lower than the BP neural network model,and the prediction result is more accurate and dependable,providing a new technique for cold chain food production companies to swiftly pick the best cold chain logistics service provider.

关键词： Supply-chain management industrial enterprises neural network optimization

Modeling and Simulation of Two Axes Gimbal Using Fuzzy Control

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Computers, Materials & Continua 2022年第7期72卷 93-107页

作者： Ayman a.aly Mohamed O.Elhabib Bassem F.Felemban B.Saleh Dac-Nhuong Le Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia Control and Mechatronics Division School of Electrical EngineeringUTMJohor Bahru81300Malaysia Institute of Research and Development Duy Tan UniversityDanang550000Vietnam School of Computer Science Duy Tan UniversityDanang550000Vietnam

The application of the guided missile seeker is to provide stability to the sensor’s line of sight toward a target by isolating it from the missile motion and *** main objective of this paper is not only to present the physical modeling of two axes gimbal system but also to improve its performance through using fuzzy logic controlling *** paper is started by deriving the mathematical model for gimbals motion using Newton’s second law,followed by designing the mechanical parts of model using SOLIDWORKS and converted to xml file to connect dc motors and sensors using MATLAB/***,a Mamdani-type fuzzy and a Proportional-Integral-Derivative(PID)controllers were designed using MATLAB *** performance of both controllers was evaluated and tested for different types of input *** simulation results showed that self-tuning fuzzy controller provides better performance,since no overshoot,small steady-state error and small settling time compared to PID controller.

关键词： Gimbal system self-tuning fuzzy proportional-integral-derivative(PID)control cross coupling

Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission

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Computers, Materials & Continua 2021年第10期69卷 81-98页

作者： Abu Jahid Mohammed H.Alsharif Raju Kannadasan Mahmoud A.Albreem Peerapong Uthansakul Jamel Nebhen Ayman a.aly Department of Electrical and Computer Engineering University of OttawaOttawaK1N 6N5ONCanada Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Prince Sattam Bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia

The Internet subscribers are expected to increase up to 69.7%(6 billion)from 45.3%and 25 billion Internet-of-things connections by ***,the ubiquitous availability of data-hungry smart multimedia devices urges research attention to reduce the energy consumption in the fifthgeneration cloud radio access network to meet the future traffic demand of high data *** propose a new cell zooming paradigm based on joint transmission(JT)coordinated multipoint to optimize user connection by controlling the cell coverage in the downlink communications with a hybrid power *** endeavoring cell zooming technique adjusts the coverage area in a given cluster based on five different JT schemes,which will help in reducing the overall power consumption with minimum inter-cell *** provide heuristic solutions to assess wireless network performances in terms of aggregate throughput,energy efficiency index(EEI),and energy consumption gain under a different scale of network *** suggested algorithm allows efficient allocation of resource block and increases energy and spectral efficiency over the conventional location-centric cell zooming *** system-level simulations show that the proposed framework reduces energy consumption yielding up to 17.5%and increases EEI by 14%.Subsequently,a thorough comparison among different JT-based load shifting schemes is pledged for further validation of varying system bandwidths.

关键词： Wireless networks green communications C-RAN coordinated multipoint energy efficiency