Intelligent Control Systems

The design and development of sustainable environments can be considered as a shared duty, especially in the current state of climate change and ecological awareness. The role of a few major stakeholders, such as architects, in ensuring a reliable and suitable environment design is even more critical, as the construction industry currently consumes half the energy sources globally. Therefore, improving the way in which our environment is designed challenges certain cultural systems, such as education for future architects and engineers, which currently demonstrates evident limitations. The digital transformation is increasingly affecting all aspects of life. This research focuses on new development strategies for improving functionality in existing buildings through enhancing students' ability to think critically in the face of environmental challenges, using digital processing tools to achieve a sustainable building. The research approaches are both quantitative and qualitative, with an emphasis on problem-solving (ARCH463: Intelligent Buildings). Four steps have been followed: literature review; assessment and analysis; guidelines creation; and tests and simulations. One of the results of this research is to create development strategies for the functional improvement of an existing building through promoting course and interest in the students of an elective course (ARCH463: Intelligent Buildings) in the second level of architecture in the Faculty of Architecture, Beirut Arab University, Beirut, Lebanon. Another outcome will be the practical effectiveness of new technology devices in sustainable intelligent building in the Arab countries.

Anger is an under-examined yet potent and disruptive emotion with a complex social and spatial history. This paper examines the spatial politics of anger as it emerges in contemporary secondary education, arguing that everyday experience of young people is at odds with tools of emotional governance that are widely practiced across the sector. State education in the UK has increasingly turned to social and emotional forms of learning to both broaden the range of skills taught and to encourage different forms of self-governance. By exploring the operation of this particularly resonant and volatile emotion, the paper attempts to go beyond the intentions of policy to examine the everyday presentation of emotions through the bodies and spaces of governance. Specifically, I draw on young people's experience of anger and examine the individual and institutional responses that position and shape their emotional geographies. I argue that rather than treating emotions in their generality, examining anger specifically reveals a spatiality based on exile and eradication, rather than internal psychological governance.

In this study, the method of direct-motion parallel parking is introduced both in theory and in simulations for the vehicle with and without a trailer. The results show that not only a vehicle with a trailer park in parallel using direct motion, but also a vehicle with a trailer park in parallel in direct motion after the final value of the orientation angle is satisfied. Simulation results are given to verify the effectiveness of the proposed method.

Paper videos can be reached from this URL: http://www.youtube.com/playlist?list=PLENSkat0854vszuVfu9mnrEvHsVQGBBgB

This paper presents the design and implementation of an advanced control system technology for greenhouses based on artificial intelligence. Although intelligent control systems have been studied in different papers; there are a lot of implementation details which are not being well defined in applications for greenhouses. In this paper a complete analysis for applying fuzzy logic and neural network controller is presented and the performance of the controller under different artificial intelligence topologies is validated.

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Intelligence incorporated in many devices makes it easier to achieve self-balancing and autonomous driving in differential drive robot. Basically, differential drive robotic system describes an unstable, nonlinear system related to an inverted pendulum. The research attempts to harness the parameters obtained from a computer-aided design tool (Solid works) to model the system for complete stability control and dynamic motion of the system within a planned trajectory. A linearized dynamic equation is obtained for the overall system design of a mobile robot, and the linear quadratic regulator concept is adopted to obtain an optimum state feedback gain. The simulation results are obtained on MATLAB software interfaced with an Arduino board with deployable sensor technologies. Scenarios of disturbance would be simulated to ascertain the stability conditions of the system at static position or dynamic position. Signal analysis and computer vision techniques serve as leverage to make the ...

In this study, a Best First Search (BFS) Based Intelligent PID Tuning Method is proposed for a mobile robot path tracking problem. BFS is an informed search strategy in Artificial Intelligence (AI). It has been used in many areas of intelligent systems. Here, it is used to search values of both ultimate period and ultimate gain of Ziegler-Nichols (ZN) PID Tuning Method. So, using these ultimate period and gain, PID parameters can be c from tables of ZN method. The performance measure in this problem is described as minimizing total error during any specified trajectory tracking. Thus the proposed method does not depend on the system model. It only needs error information during the tracking control. So, this method can be used to tune PID parameters of any tracking controller for a system with unknown system dynamics. The proposed method is tested with simulations in MATLAB during trajectory tracking of a mobile robot. In addition, it is compared with classical PID and conventional PID tuning methods including Ziegler-Nichols method, Tyreus-Luyben method, and Shinskey method.

Keywords: Intelligent PID tuning, best first search, autonomous mobile robot, mobile robot path tracking problem, computed torque PID control, dynamic model, Ziegler-Nichols, Tyreus-Luyben, Shinskey.

The first automatic control system was invented for machinery, in 1930. It was used to control the speed of steam engines. By the mid-1930s, the use of automated systems had expanded in the chemical and oil refining industries.

Advances in the construction industry have accelerated the development of automation systems where its use has been expanded to control fire prevention systems. A number of scientific studies to date have been carried out on this automated system until the creation of automated building systems for various purposes such as temperature control, humidity, ventilation, lighting, energy savings, safety systems and more.

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In this study, the method of direct-motion diagonal and perpendicular parking is introduced both in theo-ry and in simulations for the vehicle with and without a trailer. The results show that not only a vehicle with a trailer park in diagonal or perpendicular using direct motion, but also a vehicle with a trailer park in diagonal and perpendicular in direct motion after the final value of the orientation angle is satisfied. Simulation results are given to verify the effec-tiveness of the proposed method. Keywords: diagonal, perpendicular, direct motion, parking, trailer, car-like vehicle Paper videos can be reached from this URL: http://www.youtube.com/playlist?list=PLENSkat0854vGceT1fX4Yr6Yw0UqqW_vl

8th International Conference on Control, Modeling and Computing (CMC 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Control Engineering, Modeling, Computing and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Control Engineering, Modeling and Computing concepts and establishing new collaborations in these areas.

This research proposes intelligent system programming based on Fuzzy and Artificial Neural Networks (ANN). Programming is built using the Python Programming Language. The control system is used based on Proportional Integral Derivative (PID) Controller, where the gain tuning uses Fuzzy and ANN. The research stages include the preparation of plant models, fuzzy and ANN programming libraries using Python. And then how to show the performance of the Intelligent Control System that was built in the form of a simulation.

In this study, the method of direct-motion diagonal and perpendicular parking is introduced both in theo-ry and in simulations for the vehicle with and without a trailer. The results show that not only a vehicle with a trailer park in diagonal or perpendicular using direct motion, but also a vehicle with a trailer park in diagonal and perpendicular in direct motion after the final value of the orientation angle is satisfied. Simulation results are given to verify the effec-tiveness of the proposed method. Keywords: diagonal, perpendicular, direct motion, parking, trailer, car-like vehicle Paper videos can be reached from this URL: http://www.youtube.com/playlist?list=PLENSkat0854vGceT1fX4Yr6Yw0UqqW_vl

The present study examines the driving forces behind smart city implementations. Besides the results of international and European standardization efforts, the importance of holistic approach to cities and the issues of cities as complex systems will also be discussed. Furthermore, the relationship between cyber-physical systems and smart cities will be presented, and finally, certain conclusions will be drawn about the safety and security of smart cities. The urban structures and technological advances presented in this article mark the arrival of the next industrial revolution, which means that these intelligent and smart systems will cover all aspects of life.

Fast power loss computation was implemented using supervisory control and data acquisition system (SCADA) with personal computer. Logic Control Array (LCA) and EPROM circuits were used to implement SCADA system to facilitate the required measurements to obtain the daily load profile for residential and commercial customers. LCA, EPROM and PC were used to simplify the electronic circuits, reduce the cost and speed up the computation time. An illustrative example had been considered to measure, store and show the active power, reactive power, load voltage, load current, power factor and the shunt capacitors current. It as observed that when 2.7 MVAR bank capacitor inserted in the network the load current decreased from 740.8A to 688.4A and the power factor was improved from 0.80 to 0.93, which reduced the apparent power, hence allowing to add more loads to the network and release the feeder capacitor. A rule-based fuzzy decision maker had been designed and tested with the real data collected from Jordan electricity board using SCADA system. The calculated output was almost similar to that obtained from the first approach presented in this study. The advantage of using fuzzy decision maker was its simplicity that can be implemented on a programmable logic device.

In this study, the method of direct-motion diagonal and perpendicular parking is introduced both in theo-ry and in simulations for the vehicle with and without a trailer. The results show that not only a vehicle with a trailer park in diagonal or perpendicular using direct motion, but also a vehicle with a trailer park in diagonal and perpendicular in direct motion after the final value of the orientation angle is satisfied. Simulation results are given to verify the effec-tiveness of the proposed method.

Keywords: diagonal, perpendicular, direct motion, parking, trailer, car-like vehicle

Paper videos can be reached from this URL: http://www.youtube.com/playlist?list=PLENSkat0854vGceT1fX4Yr6Yw0UqqW_vl

11th International Conference on Control, Modelling, Computing and Applications (CMCA 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Control Engineering, Modelling, Computing and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern Control Engineering, Modelling and Computing concepts and establishing new collaborations in these areas. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to. Topics of interest include, but are not limited to, the following  Adaptive Control  Applications of Modelling in Science and Engineering

The principal objective of this work is to be able to use artificial intelligence techniques to be able to design a predictive model of the performance of a third-generation mobile phone base radio, using the analysis of KPIs obtained in a statistical data set of the daily behaviour of an RBS. For the realization of these models, various techniques such as Decision Trees, Neural Networks and Random Forest were used. which will allow faster progress in the deep analysis of large amounts of data statistics and get better results. In this part of the work, data was obtained from the behaviour of a third-party mobile phone base radio generation of the Claro operator in Ecuador, it should be noted that. To specify this practical case, several models were generated based on in various artificial intelligence technique for the prediction of performance results of a mobile phone base radio of third generation, the same ones that after several tests were creation of a predictive model that determines the performance of a mobile phone base radio. As a conclusion of this work, it was determined that the development of a predictive model based on artificial intelligence techniques is very useful for the analysis of large amounts of data in order to find or predict complex results, more quickly and trustworthy. The data are KPIs of the daily and hourly performance of a radio base of third generation mobile telephony, these data were obtained through the operator's remote monitoring and management tool Sure call PRS.

8 th International Conference on Control, Modeling and Computing (CMC 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Control Engineering, Modeling, Computing and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern Control Engineering, Modeling and Computing concepts and establishing new collaborations in these areas.

In this thesis, we have addressed the issue of road congestion due to increased traffic in urban and metropolitan areas and have designed an autonomous longitudinal speed controller as a solution to this problem. One of the best ways to increase efficiency of the available road infrastructure is to enable vehicles to move in a platoon with very small distance headway from the preceding vehicle. We have developed a Longitudinal Finite State Machine which acts as a supervisory control to help the following vehicle to merge behind and follow the preceding vehicle. We have studied the performance of two vehicle following controllers, i.e. LQR based full-state feedback controller and LQR based sequential-state feedback controller, which are enabled and take the control of the vehicle velocity during the "follow" state of the vehicle's Longitudinal FSM. A comparison analysis has been presented between the two controllers which help in reducing the distance headway from the preceding vehicle as well as maintaining string stability within the platoon.

This article investigates the design of linear and nonlinear model predictive controllers (MPCs) in order to improve the control of pasteurization temperature in a milk plant. MPC schemes required the development of a prediction model for use internally within the controller. An artificial neural network (ANN) model of the plant is established and validated. A linearized model is then obtained around the operating point from the ANN model. The linearized and the ANN models are used for prediction for the linear and nonlinear predictive controllers, respectively. The MPC responses are compared with a benchmark PID controller behaviour, the parameters of which have been tuned to minimize the same criteria as used for the predictive controllers.

10th International Conference on Control, Modelling, Computing and Applications (CMCA 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Control Engineering, Modelling, Computing and Applications. The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on understanding Modern Control Engineering, Modelling and Computing concepts and establishing new collaborations in these areas.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Diseño de un Sistema de Control Auto Organizante para el control de Semáforos de Intersecciones viales basados en Redes Neuronales. 

Sistema de Control por Auto Organización basado en la Red Neuronal de Retropropagación , Red Neuronal Identificadora y la Red Neuronal del Controlador, etapa de Conteo de Vehículos,  patrones de tráfico y lsensores.

Electrical Engineering: An International Journal (EEIJ) is a Quarterly peer-reviewed and refered open access journal that publishes articles which contribute new results in all areas of Electrical Engineering. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of Electrical Engineering.

The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Electrical Engineering.

New researches in Artificial intelligence have given wide powers for many areas, which based on the fact that the performance of machine is better than humans. Widely, one of the most significant areas in Artificial Intelligence is education and learning. Occasionally the traditional teaching methods do not achieve the required goals from learning. Some teaching progra comparing to traditional class room. appropriate learning procedures are children with learning disabilities. Parents always capability to understand new subjects and to develop expertise. Early interference is very important to help children in their early stages for enhance their learning capacity. on black board system to assists the children sufferer from learning disabilities during the early levels of school. The proposed system targets the child with typical intellectual quotient (IQ). During the implementation of the system the child will go through two types of tests and experiments, which will determine the level of (IQ) and evaluate the diagnosis purposes (developmental disabilities). The rules of the inference engine are generated based on the knowledge engineering resulted from the test. Education are one of most requirements needed for children, Which mean keep the student interest and motivated for learn. Diagnosing various learning disabilities is costly process and can be highly delayed disabilities meanwhile they need to accomplish teach mission using variety of education materials. Diagnosing various LD depend exclusively on our understanding of scientific r communication with the Infected People. in various learning systems. Numerous researches demonstrate that kids are more concerned in computer games. Thus, serious games are

The introduction of fractional calculus has spurred a lot of possibilities in biomedical engineering and bioengineering research and development, especially in the modeling, design, and analysis of bioelectrodes. With the advent of memristors and fractional calculus, it is seen that these concepts would have several advantages and applications in such fields. In this short note, we present various bioelectrode equivalent circuit models including their impulse and frequency responses. The equivalent models presented utilize the concepts of memristors and fractional calculus.

One of the biggest issues preventing the acceptability of large, multi-robot systems (i.e., swarms) is the predictability of aggregate behavior. This is an especially thorny issue due to the current multi-robot philosophy of designing swarm behaviors that emerge spontaneously from local robot interactions, without the invocation of any global engineering principles. Although this paper agrees with the notion of emergent swarm behavior, it adopts a more rigorous approach to multi-robot system design that is based on physics principles. By using physics for multirobot design, traditional physics analysis techniques are easily applied to predict swarm behavior. This paper demonstrates that by using a physics-based swarm approach, one can design systems that are both effective on coverage tasks and predictable in the aggregate.

Integrated Vehicle Health Management (IVHM) systems on modern aircraft or autonomous unmanned vehicles should provide diagnostic and prognostic capabilities with lower support costs and amount of data traffic. When mission objectives cannot be reached for the control system since unanticipated operating conditions exists, namely a failure, the mission plan must be revised or altered according to the health monitoring system assessment. Representation of the system health knowledge must facilitate interaction with the control system to compensate for subsystem degradation. Several generic architectures have been described for the implementation of health monitoring systems and their integration with the control system. In particular, the Open System Architecture -Condition-Based Maintenance (OSA-CBM) approach is considered in this work as initial point, and it is evolved in the sense of self-health awareness, by defining an appropriated multi-agent smart health management architecture based on smart device models, communication agents and a distributed control system. A case study about its application on fuel-cells as auxiliary power generator will demonstrate the integration.

This paper presents a direct crypto key generation method form signature biometric based on Gabor feature selection. The proposed method outputs secure entropy keys, which could be used as high watermarking source for signature biometric itself as well as digital electronic signature that hide e-documents in electronic open system. Simulated results have demonstrated that generated Crypto Key addresses a replacement of a biometric signature representation into digital symmetric key; where the generated features vector key is used to sign e's sources, i.e. e-banking, e-insurance, e-health care, and e-government documents.

Poultry liquid feed poisoning, poor growth, death of poultry birds and low production yield has been a major problem faced by poultry farmers. Feeding poultry birds is an operation that must be done properly and carefully. The feeding operation is dependent on the poultry farming system practiced. The feeding mechanism could be done manually or with automated system. This paper presents the design of a mobile poultry liquid feed dispensing system using Proportional Integral Derivative (PID) control technique. The performance of the system was evaluated without and with the PID controller and the result shows an improved and better performance for the system with the PID controller. The developed system was able to move from the starting point to the destination while dispensing liquid feed to the poultry birds and once the feeding time is completed, the system returns to the starting point for refilling using Proportional Integral Derivative (PID) control technique for reduced labour and high profit yield in poultry feeding management.

In this study, a Best First Search (BFS) Based Intelligent PID Tuning Method is proposed for a mobile robot path tracking problem. BFS is an informed search strategy in Artificial Intelligence (AI). It has been used in many areas of intelligent systems. Here, it is used to search values of both ultimate period and ultimate gain of Ziegler-Nichols (ZN) PID Tuning Method. So, using these ultimate period and gain, PID parameters can be c from tables of ZN method. The performance measure in this problem is described as minimizing total error during any specified trajectory tracking. Thus the proposed method does not depend on the system model. It only needs error information during the tracking control. So, this method can be used to tune PID parameters of any tracking controller for a system with unknown system dynamics. The proposed method is tested with simulations in MATLAB during trajectory tracking of a mobile robot. In addition, it is compared with classical PID and conventional ...

This paper explores the use of knowledge management with emergency information systems. Two knowledge management systems that were utilized during Hurricane Katrina response are described and analyzed. The systems specified were developed by both federal agencies as well as grass root efforts without the support or mandate of government programs. These programs, although developed independently, were able to share data and interact in life saving capacities, transcending traditional geo-political boundaries. We conclude that emergency information systems are enhanced by incorporating knowledge management tools and concepts.

In this paper, a comparative study was carried out to evaluate the real-time performance of fuzzy proportional-integral plus fuzzy proportional-derivative (Fuzzy PI + Fuzzy PD) controller with the real-time performance of Conventional PI for a liquid-level process experiment. The process considered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control valve. NATIONAL INSTRUMENTS™ based hardware and software tools (LabVIEW™) were used for precise and accurate acquisition, measurement and control. The real time implementation of the Fuzzy PI + Fuzzy PD controller was carried out in two configurations: namely, feedback and cascade. In cascade control configuration Fuzzy PI + Fuzzy PD controller was implemented in the primary loop. The secondary loop was tuned using the conventional PI controller. It was evaluated that Fuzzy controller perform better in comparison with conventional controller in both the feedback and cascade control configurations.