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检索条件"任意字段=2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013"

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On the Universality of Active Noise control Concepts in control engineering: A Perspective in control engineering Education

On the Universality of Active Noise Control Concepts in Cont...

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： Raja Kamil Department of Electrical and Electronic Engineering Universiti Putra Malaysia Serdang Selangor Malaysia

Active Noise control (ANC) systems involve the application of many control engineering concepts which makes them suitable for control engineering education at both undergraduate and postgraduate levels. The physics involved revolving around destructive noise interference through superposition is easily understood. The complexity of the system can be gradually increased from ideal to realistic cases to meet the required educational levels while introducing important control concepts like feedback and feedforward architecture, nonminimum phase, linearity and nonlinearity, time delay and multivariable systems. The ANC control methods are rich incorporating linear and nonlinear fixed nonadaptive and adaptive control, robust and optimal control, neural network, and fuzzy logic. The systems also enable introduction to deep learning, digital signal processing, and differences between analog and digital electronic systems. In this paper, the main control concepts, ideas, and methods applied in ANC in presented as a series of ‘concept’ to be addressed in control engineering education. Furthermore, this work aims towards translational research where the ideas and approach applicable to ANC may also be beneficial and adopted in other control applications.

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PI control of Biomass Concentration for a Continuous-Discrete Bioreactor 11

PI Control of Biomass Concentration for a Continuous-Discret...

引用

11th ieee international conference on control system, computing and engineering, iccsce 2021

作者： Ramjug-Ballgobin, R. Busawon, K. Ah King, R.T.F. Rughooputh, H.C.S. University of Mauritius Faculty of Engineering Reduit Mauritius Northumbria University Faculty of Engineering and Environment Newcastle upon Tyne United Kingdom

ISBN: (纸本)9781665412810

This paper proposes the application of a Proportional-Integral (PI) controller for the observer-based regulation of biomass concentration for a continuous-discrete system. An observer is essential to estimate the values of biomass concentration since the controller depends on these measurements. The analysis focuses on the continuous-discrete nature of the system which is represented by a continuous bioreactor system with discrete output measurements. The maximum allowable sampling partition diameter is determined along with the corresponding convergence time. These results are then compared to another work that used a feedback linearising control to achieve biomass regulation. The results obtained with the PI controller proved to be far more superior both in terms of maximum possible sampling time and convergence time. These findings confirmed the satisfactory and improved performance of the proposed observer-based controller. © 2021 ieee.

关键词： Biomass

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control of Electric Wheelchair via Eye Gestures for People with Neurological Disorder 11

Control of Electric Wheelchair via Eye Gestures for People w...

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11th ieee international conference on control system, computing and engineering (iccsce)

作者： Adnan, A. R. Yahaya, S. Z. Hussain, Z. Univ Teknol MARA Coll Engn Sch Elect Engn Permatang Pauh 13500 Pulau Pinang Malaysia

ISBN: (纸本)9781665412810

Tetraplegia is a total paralysis due to injury at C1 - C5 - T1 of spinal cord. People with tetraplegia have very limited or no muscle function from area below the neck. For mobility, electric wheelchair is a good option. However, since commercial electric wheelchair used joystick as its movement control, this is quite difficult for tetraplegic patients to use it. Facial features such as eyes gestures have the potential to be manipulated as instruction to control the movement of electric wheelchair. Therefore, this work aims to develop a system that can classify different eyes gestures of human subject and convert it into different state of control instructions. Methods for object detection that had been developed by researchers in recent years are suitable to be used to detect faces and eyes. This work proposed the combination use of Haar Cascade classifier and Dlib facial detector for detecting face and eye region, respectively. Next, several image enhancement techniques and morphological operations are performed to detect the iris. Image moments is used to calculate the center coordinate of the iris. Afterward, the iris coordinate is used to determine the classification of eye gestures. The proposed method has been proven to be efficient in detecting eyes gestures. The ratio of detection accuracy is ranged between 73.5% and 99.83% depending on the ambient lighting.

关键词： Electric wheelchair tetraplegia eye gestures iris coordinate

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PI Observer-based control for Biomass Regulation under Measurement Delays 11

PI Observer-based Control for Biomass Regulation under Measu...

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11th ieee international conference on control system, computing and engineering, iccsce 2021

ISBN: (纸本)9781665412810

The present paper deals with the issue of measurement delays which constitute a very prominent problem faced by most control systems. The system considered is that of a bioreactor used for the biological treatment of wastewater. The recording of the output substrate concentration of such systems usually involves a delay which results from the dependency of the flow of the liquid on its consistency. A PI observer-based control is applied and its performance is analysed in terms of the maximum delay for which the system is stable and converges as well as in terms of the convergence times. Based on these parameters, the results are compared to those obtained by a feedback linearising observer-based system. This comparative analysis showed that the PI controller performed better than the feedback controller, hence confirming its efficiency in biomass regulation in the presence of delayed measurements. © 2021 ieee.

关键词： Time delay

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Optimal Finite- Time Prescribed Performance of Servo Pneumatic Positioning with PID control Tuning using an Evolutionary Mating Algorithm

Optimal Finite- Time Prescribed Performance of Servo Pneumat...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Addie Irawan Mohd Herwan Sulaiman Mohd Iskandar Putra Azahar Faculty of Electrical & Electronics Engineering Technology Universiti Malaysia Pahang Pekan Pahang Malaysia

This paper presents an optimum tuning on finite-time prescribed performance with PID (FT-PPC-PID) controller using the Evolutionary Mating Algorithm (EMA) approach for a pneumatic servo system’s (PSS) rod-piston positioning. The design objective is to optimize the convergence rate and finite time of the prescribed performance function in error transformation in parallel with PID controller’s gains. The multi-step input trajectory on the PPVDC model plant was used for simulations with specific load and random noise as disturbances. The results demonstrate that the controller optimized with EMA outperforms the same controller optimized with other methods in achieving dynamic multi-step positioning of the rod-piston. This highlights the significant enhancement in overall performance of PPVDC positioning, including the stability of its internal system, through the EMA-optimized finite-time prescribed performance controller with PID.

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AI Opportunities and Risks for Students’ Decision-Making Skill

AI Opportunities and Risks for Students’ Decision-Making Sk...

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： Salim B Al Maqbali Nooritawati Md Tahir Research Department Head Office UTAS Muscat Sultanate of Oman College of Engineering Universiti Teknologi MARA (UiTM) Malaysia Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) Universiti Teknologi MARA Malaysia Applied College Princess Nourah Bint Abdul Rahman University (PNU) Riyadh Saudi Arabia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

This study investigated the influence of artificial intelligence (AI) on university decision-making for university students in Oman. Eight bachelor students were selected from various academic programmes to interview them to explore their experiences towards using AI in their academic related decision-making. The research data was analysed with thematic analysis using NVivo software. Although artificial intelligence supports the students’ decision-making processes with data-driven based decisions, the findings also shed light on concerns in relation to the risk of decline in personal creativity, critical thinking, and social relationships. The integration of artificial intelligence in education, therefore, should be more balanced to maximise the benefits of technology with essential human skills.

关键词： Educational programs Ethics Decision making Collaboration control systems Software Problem-solving Artificial intelligence Interviews Creativity

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Design and Implementation of Needle Steering system 11

Design and Implementation of Needle Steering System

引用

11th ieee international conference on control system, computing and engineering, iccsce 2021

作者： Shaaban, Abdel-Salam Ali, Ahmed S. Mostafa, R. El-Samie, Fathi E. Abd Beni-Suef University Faculty of Technology and Education Department of Process Control Technology Egypt Assuit University Faculty of Engineering Department of Mechanical Engineering Egypt Menoufia University Faculty of Electronic Engineering Department of Electronics and Electrical Communications Engineering Menouf32952 Egypt

ISBN: (纸本)9781665412810

The insertion of a needle for many scientific researches is an important aspect to consider and is the simplest and most diagnostic of the medical and interventional procedures. In needle based medical procedures, a flexible needle is directed at the soft tissue to achieve a predefined target position. The efficiency of the needle insertion depends on the precise control of the tip of the needle. This article provides a complete mechanical model for inserting needles into soft tissues. The proposed needle insertion model depends on the insertion speed as the input, which can then be used as a needle direction control. The model considers the length of needle and bevel angle. Various experiments were performed that inserts a needle into biological tissue. The results show the accuracy of the proposed system at different application speeds with an error of up to 2 mm. © 2021 ieee.

关键词： Needles

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Fusing Frontal Face Recognition Using Multi View Cameras

Fusing Frontal Face Recognition Using Multi View Cameras

引用

ieee international conference on control system, computing and engineering (iccsce)

作者： M.A Rashidan S. N. Sidek M. M. Al-Samman Department of Mechatronics Kulliyyah of Engineering International Islamic University Malaysia Kuala Lumpur Malaysia

The recognition of faces in videos has recently gained considerable attention, but the recognition process executed on a single camera has limitations, especially when dealing with uncooperative subjects, changes in body posture, or self-occlusion. These challenges are particularly relevant in the context of studying facial analysis in children with Autism Spectrum Disorder (ASD). Therefore, the use of multiple cameras in a face recognition system is proposed to overcome these limitations. Facial image realignment was employed in the automatic face recognition process. To achieve this, the Kanade-Lucas-Tomasi (KLT) algorithm was used to track facial features, and the RANSAC algorithm was utilized to estimate the homography transformation for realigning the multi-view input images. To assess and compare the similarity of the fused image, the normalized cross-correlation (NCC) was employed. The resulting fused image was obtained based on the extracted pose of the face. The results demonstrate the efficacy of the method, achieving an accuracy of 94.5% for typically developed children and 87.3% for ASD children.

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Modeling and control of Unmaned Aerial Vehicles

Modeling and Control of Unmaned Aerial Vehicles

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ieee international conference on control system, computing and engineering (iccsce)

作者： Tan Kai Sheng Mohd Fua’Ad Rahmat Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor Malaysia

Recent years have seen significant expansion within Unmanned Aerial Vehicles (UAVs) with increasing demand from sectors including reconnaissance, surveillance, and delivery. This paper focus on the modelling and control aspects specific to quadcopters, a popular type of UAV with an ambition to increase their stability quotient whilst accounting for factors like thrust, torque and aerodynamics guided by mathematical equations and physics laws governing their dynamics with use of MATLAB Simulink. For effective stabilization purposes design objective is generating proportional-integral-derivative (PID) controllers while testing simulations to gauge the controller’s performance; the results highlight a reduction in oscillations and an increased stability with more favourable regulation of motion relatively than earlier. A physical quadcopter test then follows to cross-validate simulation findings for any subsequent required optimizations of existing PID controls. The project aims at contributing extensively towards enhancing UAV control through developing reliable and efficient PID controllers with specific focus towards quadcopters that can find application potential over other types of UAVs within this industry.

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Optimizing Stand-Alone Photovoltaic-Battery system Sizing Through Meta-Heuristic Optimization Algorithms

Optimizing Stand-Alone Photovoltaic-Battery System Sizing Th...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Iman Zulhakeem Shuhaimi Nur Atharah Kamarzaman Nor Adni Mat Leh Intan Rahayu Ibrahim Centre for Electrical Engineering Studies College of Engineering Universiti Teknologi MARA Cawangan Pulau Pinang Pulau Pinang Malaysia School of Electrical Engineering College of Engineering Universiti Teknologi MARA UiTM Shah Alam Selangor Malaysia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

Stand-alone photovoltaic (SAPV) systems, comprising PV panels and lithium-ion battery, offer promising solutions for sustainable energy. However, their widespread adoption is hindered by challenges in achieving optimal sizing, which is crucial for enhancing system reliability. Metaheuristic-based artificial intelligence (AI) has emerged as a promising tool for addressing the complexity in PV system sizing. By leveraging advanced algorithms like Particle Swarm Optimization (PSO) and Wild Horse Optimization (WHO), this approach can optimize the system to be more efficient and reliable. This study aims to develop sizing algorithms and find the optimal sizing for system components using data from PV arrays, batteries, controller and inverter. Through the analysis, the study demonstrates the effectiveness of WHO in optimizing the system resulting in improving system reliability. By contributing to Sustainable Development Goal 7, this study promotes the adoption of cleaner and more accessible energy technologies.

关键词： Photovoltaic systems Lithium-ion batteries Metaheuristics control systems Inverters Complexity theory Reliability Particle swarm optimization Artificial intelligence Sustainable development

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