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TechRxiv 2023年

作者： Caliano, Martina Buonanno, Amedeo Di Somma, Marialaura Graditi, Giorgio Papadimitriou, Christina Charalambous, Chrysanthos Dopierala, Przemyslaw Bronk, Leszek Dept. of Energy Technologies and Renewable Energy Sources ENEA NA Portici Italy Dept. of Energy Technologies and Renewable Energy Sources ENEA Rome Italy Eindhoven Netherlands Department of Electrical and Computer Engineering University of Cyprus FOSS Research Centre for Sustainable Energy Nicosia Cyprus Department of Control Information and Communications Instytut Energetyki – Instytut Badawczy Gdansk Poland Department of Strategy and System Development Instytut Energetyki – Instytut Badawczy Gdansk Poland

The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of integrated local energy communities (ILECs) in Europe, performed within the project. The enabling conditions are addressed by defining the key actors and their interests in the implementation of an energy community at local level and through a detailed mapping of the enabling and emerging energy and information and communication technologies at both household and community levels. Special focus is also on mapping of the demand-side flexibility technologies to understand the benefits of local flexibility and impacts on the larger systems. In such analysis, the key issues for implementation and adaptation of this new energy paradigm are investigated through covering technological, socio-economic, environmental, and regulatory aspects. © 2023, CC BY.

关键词： Mapping

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Online control of Affine systems in Stochastically Modeled Contexts

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IFAC-PapersOnLine 2020年第2期53卷 3354-3360页

作者： Patrick Flüs Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper proposes an algorithm for online controller synthesis for autonomous systems with LTI dynamics considering obstacle avoidance. The obstacles are assumed to be other systems with affine probabilistic dynamics. The initial state as well as the disturbances of these systems are Gaussian distributed. To guarantee that the probability of a collision is smaller than a predefined threshold, probabilistic reachable sets are used. Due to the Gaussian distribution, the probabilistic reachability procedure can use the principles of the ellipsoidal calculus. For the autonomous system, these time-varying reachable sets of the other systems are avoided by an approach, which is based on model predictive control and successive convexification of the constraints. Due to high computational times required for the computation of probabilistic reachable sets and the convexification, different techniques to reduce the computational time significantly are also proposed.

关键词： multi-agent systems distributed control uncertain systems constrained control networked systems predictive control

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Balanced Stochastic Optimal control of Uncertain Linear systems with Constraints

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IFAC-PapersOnLine 2020年第2期53卷 7172-7178页

作者： Jannik Hahn Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper addresses finite-time horizon optimal control for discrete-time dynamics with additional stochastic disturbances. In contrast to most existing approaches to this problem, we also minimize the uncertainty of future states arising from stochastic disturbances and from an uncertain initial state. Thus, the optimal control strategy balances the minimization of the expected distances to a reference signal, and the minimization of the uncertainty respectively. As opposed to prior work, the optimization is formulated subject to possible disturbance feedback policies. This enables to solve one semi-definite program over H steps, instead of solving H problems over one step, and the resulting reduced complexity allows one to use the scheme in online and predictive control. The proposed method is applicable to time-varying state constraints (in the sense of chance constraints) as well as time-invariant input constraints.

关键词： Stochastic optimal control disturbance rejection constrained systems robust invariance uncertain systems

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Sneak attack against mobile robotic networks under formation control

arXiv

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arXiv 2021年

作者： Liy, Yushan Hey, Jianping Dingy, Xuda Caiz, Lin Guany, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Dept. of Electrical and Computer Engineering University of Victoria VictoriaBC Canada

The security of mobile robotic networks (MRNs) has been an active research topic in recent years. This paper demonstrates that the observable interaction process of MRNs under formation control will present increasingly severe threats. Specifically, we find that an external attack robot, who has only partial observation over MRNs while not knowing the system dynamics or access, can learn the interaction rules from observations and utilize them to replace a target robot, destroying the cooperation performance of MRNs. We call this novel attack as sneak, which endows the attacker with the intelligence of learning knowledge and is hard to be tackled by traditional defense techniques. The key insight is to separately reveal the internal interaction structure within robots and the external interaction mechanism with the environment, from the coupled state evolution influenced by the model-unknown rules and unobservable part of the MRN. To address this issue, we first provide general interaction process modeling and prove the learnability of the interaction rules. Then, with the learned rules, we design an Evaluate-Cut-Restore (ECR) attack strategy considering the partial interaction structure and geometric pattern. We also establish the sufficient conditions for a successful sneak with maximum control impacts over the MRN. Extensive simulations illustrate the feasibility and effectiveness of the proposed attack. Copyright © 2021, The Authors. All rights reserved.

关键词： Robotics

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Improving the Performance of the Electric Vehicle Suspension system Using Sliding Mode controller and PID controller

Improving the Performance of the Electric Vehicle Suspension...

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Sustainable Energy and Future Electric Transportation (SEFET), International Conference on

作者： Abdussalam Ali Ahmed Hisham. F. A. Ramadhan Mustafa Emheisen Yasser Fathi Nassar Adel Oubelaid Mohit Bajaj Parvesh Saini Subhashree Choudhury Mechanical Engineering Department Bani Waleed University Bani Waleed Libya Control System Engineering College of Electronic Technology Bani Walid Libya Electrical Engineering Department Bani Waleed University Bani Waleed Libya Mechanical and Renewable Energy Eng. Dept. Wadi Alshatti University Brack Libya Laboratoire de Technologie Industrielle et de l'Information Faculté de Technologie Université de Bejaia Bejaia Algeria Department of Electrical Engineering Graphic Era (Deemed to be University) Dehradun India Department of Electrical Engineering Graphic Era Hill University Dehradun India Dept. of EEE Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar India

The purpose of this paper is to show how to identify and handle suspension system vibrations using two different control strategies: Sliding Mode control (SMC) and a Proportional Integral Derivative (PID) controller. A four-degree-of-freedom (4DOF) half-car suspension model is used. Suspension performance factors such as ride comfort, suspension deflection, and vehicle handling necessitate a thorough control system. This control system, which is carried out with the MATLAB application, is made up of three components: the controller, the suspension system model, and input signals (road profile and actuator force). The simulation results illustrate a comparison between the uncontrolled suspension system and the half-car active suspension system's PID and SMC controllers.

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Design space analysis method for support of system design under the consideration of uncertainties in the early design stage

Design space analysis method for support of system design un...

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ASME 2020 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2020

作者： Aoyama, Kazuhiro Uchibori, Yoshihiro Oizumi, Kazuya Hiramatsu, Shigeki Unesaki, Hiroshi Kondo, Shyuichi Research into Artifacts Center for Engineering School of Engineering University of Tokyo Tokyo Japan Department of Systems Innovation School of Engineering University of Tokyo Tokyo Japan Integrated Control System Development Div. Mazda Motor Corporation Hiroshima Japan Electronic Platform Development Dept. Mazda Motor Corporation Hiroshima Japan

ISBN: (纸本)9780791884003

In this study, following the concept of set-based design, after preparing global calculation results, we introduced the approach of setting the design solution area that satisfies the product performance goals of the system design. In this approach, from the viewpoint of considering uncertainty, we aimed to develop an analysis method that can get the organic relationship between target variables and design variables. And more, under the assumption that it is difficult to comprehend the full picture of products that are becoming more sophisticated and complex with the knowledge that has been fostered by skilled engineers, the proposed system uses the objective calculation indices that is provided knowledge of the designer. Specifically, the following method are proposed to solve the problem. - Implementation of meta-modeling of design space. - Classified solution space using a density-based clustering method to detect that the solution spaces are divided into multiple disconnected space. - Defined an index called distribution concentration and expressed the possibility of dealing with the uncertainty of the solution domain. - The network diagram based on the calculated index values was proposed to confirm the change in the characteristics of the solution space when the performance target of the product was changed. Finally, the effectiveness of the proposed method was verified by applying it to actual simulation results. © 2020 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： systems analysis

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Development of machine learning edge iot based non-destructive food quality monitoring system using raspberry pi

Development of machine learning edge iot based non-destructi...

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2020 IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2020

作者： Sahu, Bhumika Tiwari, Abhai Raheja, J L Kumar, Santosh Guru Ghasidas Central University Bilaspur Dept. of Pure and Applied Physics Chhattisgarh India AIGROEDGE Technologies Pvt. Ltd. New Delhi India Automation Control System Group CSIR- Central Electronics Engineering Research Institute Raj. India

ISBN: (纸本)9781728150703

Food wastage dew to spoilage is one of the key global problems, the quantity of food loses and spoilage per year is 40-50% for root crops, fruits, and vegetables. This paper proposes an edge IoT machine learning based approach for food quality monitoring. The need for this type of system is to correctly classify the vegetables and fruits in three categories fresh, semi-fresh spoiled, further to alert about environmental conditions, either it's favorable or not using the expert algorithm developed under particular standard environmental data. The proposed system employed with Raspberry Pi as the main processing unit, temperature humidity sensors along with three VoC gas sensors. To classify the vegetable and fruit, the sensed data (Gas Sensors MQ2, MQ3 MQ9 along with humidity temperature sensor) were collected over a week machine learning models Logistic Regression, Linear SVC, rbf SVM Classifier, Random Forest with the accuracy of 99.1%, 99.9%, 99.96% 99.96% respectively have been used to classify the data. Further, the classified and processed result was uploaded on the firebase cloud to make it possible to be monitored from anywhere in the world using a particular developed android application. The uniqueness of the system is, it uses edge IoT and its software is programmable so that it can be used to preserve any type of food items by just filling up some credentials in the settings section of GUI. © 2020 IEEE.

关键词： Spoilage

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Glucose controller for artificial pancreas

Glucose controller for artificial pancreas

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2019 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2019

作者： Abd-Al Amear, Ban K. Raafat, Safanah M. Al-Khazraji, Ayman University of Technology Control and System Engineering Baghdad Iraq University of Bahrain Electrical and Electronics Eng. Dept. Manama Bahrain

ISBN: (纸本)9781728130125

Diabetics type1 have been helped by 'Artificial Pancreas'(AP), which is known as a closed loop control of blood sugar regulation in diabetes. It is a system that joins blood glucose checking through a glucose sensor to check blood sugar in vivo, insulin pump and calculation unit to enumerate insulin dosage and amount according to blood glucose measure pump control unit based on the results of enumeration. There is a necessity to put an optimal control which can keep up with sudden change for (T1D), finds better following personification for glucose, and maintain the glucose level within the natural zone (between 70mg/dl and 120mg/dl). In this paper, a state feedback control method based on 'Linear Quadratic - Servo'(LQ-S) has been proposed. A Kalman Filter (KF) has been used to provide necessary estimates of states to be implemented by the LQ-S design. Simulation results show considerable improvements of the AP performance using the developed controller as compared with that of a conventional PID controller. © 2019 IEEE.

关键词： Glucose

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Improved Template Matching Based Stereo Vision Sparse 3D Reconstruction Algorithm

Improved Template Matching Based Stereo Vision Sparse 3D Rec...

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Chinese control and Decision Conference, CCDC

作者： Zhiyuan Liu Bin Song Yanning Guo Hang Xu Dept. of Control Science and Engineering Harbin Institute of Technology Harbin Aerospace System Engineering Shanghai Shanghai Engieering Research Center of Space Robotics Shanghai

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

Stereo vision 3D reconstruction using keypoints matching methods can bring up problems, such as uneven distribution of points, or even mismatches. To solve the problems, we proposed a novel stereo vision 3D reconstruction algorithm based on template matching. First, considering that the similarity between left and right image of binocular camera can be high, template matching can be brought in to minify the searching range of every keypoint, thus enhance the accuracy of matches and make the reconstruction result more complete. The specific process of the proposed method includes the following steps: templates extraction, keypoint density index calculation, template matching, keypoint matching within template matched areas, point cloud generation, and point cloud stitching. Furthermore, a simulation environment was built up in Gazebo, and 3D reconstruction was carried out using the proposed method. Comparison experiment was carried out using brute force keypoint matching method and FLANN. Simulation results showed that the proposed method performed better and improved in both utilization of keypoints and reconstruction result.

关键词： Three-dimensional displays Cameras Stereo vision Mathematical model Indexes Solid modeling Image reconstruction

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Enabling Conditions for the Deployment of Integrated Local Energy Communities in Europe

Enabling Conditions for the Deployment of Integrated Local E...

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Blockchain for Renewables Integration (BLORIN), Workshop on

作者： Martina Caliano Amedeo Buonanno Marialaura Di Somma Giorgio Graditi Christina Papadimitriou Chrysanthos Charalambous Przemysław Dopierała Leszek Bronk Dept. of Energy Technologies and Renewable Energy Sources ENEA Portici NA Italy Electrical Engineering dpt. Eindhoven University of Technology (TU/e) Eindhoven The Netherlands Department of Electrical and Computer Engineering University of Cyprus FOSS Research Centre for Sustainable Energy Nicosia Cyprus Department of Control Information and Communications Instytut Energetyki - Instytut Badawczy Gdansk Poland Department of Strategy and System Development Instytut Energetyki - Instytut Badawczy Gdansk Poland

ISBN: (纸本)9781665472500

关键词： Renewable energy sources Conferences Europe Information and communication technology Distributed power generation Blockchains

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