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Black Box Modelling and Simulating the Dynamic Indoor Relative Humidity of a Laboratory Using Autoregressive–moving-average (ARMA) Model

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IOP Conference Series: Materials Science and engineering 2020年第1期884卷

作者： S F M Hussein M K Mohd Fitri Alif A O Al Rabeei A Faruq S M Zulkapli M S Noorazizi S A Zaki S S Abdullah Biologically Inspired System and Technology (Bio-iST) iKohza Department of Electronic Systems Engineering (ESE) Malaysia-Japan International Institute of Technology (MJIIT) UniversitiTeknologi Malaysia (UTM) Kuala Lumpur Jalan Sultan Yahya Petra (Jalan Semarak) 54100 Kuala Lumpur MALAYSIA. Department of Control and Mechatronics Engineering (CMED) School of Electrical Engineering Faculty of Engineering UniversitiTeknologi Malaysia (UTM) Johor Bahru 81310 Johor DarulTakzim MALAYSIA. Department of Electrical Engineering Faculty of Engineering Universitas Muhammadiyah Malang. Jl. Raya Tlogomas 246 65144 Malang INDONESIA. Engineering Department Razak Faculty of Technology and Informatics UniversitiTeknologi Malaysia (UTM) Kuala Lumpur Jalan Sultan Yahya Petra (Jalan Semarak) 54100 Kuala Lumpur MALAYSIA. Wind Engineering for (Urban Artificial Man-made) Environment Laboratory Department of Mechanical Precision Engineering (MPE) Malaysia-Japan International Institute of Technology (MJIIT) UniversitiTeknologi Malaysia (UTM) Kuala Lumpur Jalan Sultan Yahya Petra (Jalan Semarak) 54100 Kuala Lumpur MALAYSIA.

Modelling and simulation of the dynamic indoor relative humidity behaviour of a building is essential to test any proposed thermal comfort controller and strategy in the building. Like other plants, the dynamic indoor relative humidity behaviour of a building can be developed based on the white box model, black box model, and grey box model. This research focuses on the usage of autoregressive–moving-average (ARMA) model, a type of black box model to represent the dynamic indoor relative humidity behaviour of Industrial Instrumentation Laboratory at Malaysia-Japan International Institute of Technology (MJIIT), UniversitiTeknologi Malaysia (UTM) Kuala Lumpur and uses the real recorded data from the laboratory and minimal knowledge regarding the physical characteristics of the humidity behaviour in the laboratory. The performance of the ARMA model developed in this research is compared with the real recorded data from the laboratory. Result obtained shows that the ARMA model is enough for modelling and simulating the dynamic indoor relative humidity behaviour of the laboratory

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Optimizing Disturbance Rejection by Using Model-Based Compensator with User-Defined High-Frequency Gains

Optimizing Disturbance Rejection by Using Model-Based Compen...

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APCA International Conference on Automatic control and Soft Computing (controlO)

作者： Damir Vrančić Paulo Moura Oliveira Mikulaš Huba Department of Systems and Control J. Stefan Institute Ljubljana Slovenia Department of Engineering Universidade de Trás-os-Montes e Alto Douro Portugal Faculty of Electrical engineering and information technology Slovak University of Technology Bratislava Slovakia

The paper presents extension of model-based disturbance rejection method based on Magnitude optimum method. The original method requires the pre-chosen values of controller and compensator filter values, which might result in a relatively noisy process input signals that are not tolerated in practice. In order to keep the process input noise under control, the proposed tuning method requires user-defined controller and compensator noise gain for high frequencies, instead. The experiments on process models show that the proposed approach is successful even though the actual and the identified process models do not match.

关键词： Process control Tuning Mathematical model Computational modeling Transfer functions Noise measurement Hybrid fiber coaxial cables

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Differentiation and passivity for control of brayton-moser systems

arXiv

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arXiv 2018年

作者： Kosaraju, Krishna Chaitanya Cucuzzella, Michele Scherpen, Jacquelien M.A. Pasumarthy, Ramkrishna Jan C. Wilems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands Department of electrical engineering Indian Institute of Technology-Madras Chennai36 India

This paper deals with a class of Resistive-Inductive-Capacitive (RLC) circuits and switched RLC (s-RLC) circuits modeled in the Brayton Moser framework. For this class of systems, new passivity properties using a Krasovskii's type Lyapunov function as storage function are presented, where the supply-rate is function of the system states, inputs and their first time derivatives. Moreover, after showing the integrability property of the port-variables, two simple control methodologies called output shaping and input shaping are proposed for regulating the voltage in RLC and s-RLC circuits. Global asymptotic stability is theoretically proved for both the proposed control methodologies. Moreover, robustness with respect to load uncertainty is ensured by the input shaping methodology. The applicability of the proposed methodologies is illustrated by designing voltage controllers for DC-DC converters and DC networks. Copyright © 2018, The Authors. All rights reserved.

关键词： Resonant circuits

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Sensorless nonlinear control of fed-batch Escherichia coli cultivation bioprocess using the state-dependent approach 12th

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12th Portuguese Conference on Automatic control, controlO 2016

作者： Iratni, Abdelhamid Araújo, Rui Rastegar, Saeid Mostefai, Mohammed Faculty of Science and Technology Electrical Engineering Department University of Bordj Bou Arreridj El Anasser Algeria Department of Electrical and Computer Engineering Institute for Systems and Robotics University of Coimbra Coimbra Portugal Automatic Control Laboratory of Setif Electrical Engineering Department Faculty of Technology University of Setif1 Sétif Algeria

ISBN: (纸本)9783319436708

The cultivation of Escherichia coli bacteria is widely used by geneticists and biopharmaceuticals to produce medicines and vaccines. In such industries, Bioprocesses are known by their harsh environment and very expensive physical sensors. This paper deals with nonlinear estimation and control of fed-batch Escherichia coli bioprocess. Enhancing the process performance and maximizing its efficiency by optimizing the control of Escherichia coli cultures depends on the availability of appropriate online sensors for the main culture components. In this study, an innovative method for nonlinear estimation and control of bioprocesses is designed and assessed. The new algorithm for control and estimation of Escherichia coli bioprocess states, based on the State-Dependent Riccati Equation technique, is validated by numerical simulation. The results obtained clearly demonstrate the effectiveness of the proposed technique for Biosystems in measuring, monitoring, and control of their natural nonlinear dynamics. © Springer International Publishing Switzerland 2017.

关键词： Extended Kalman filters

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Robust medical instrument segmentation challenge 2019

arXiv

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arXiv 2020年

作者： Roβ, Tobias Reinke, Annika Full, Peter M. Wagner, Martin Kenngott, Hannes Apitz, Martin Hempe, Hellena Filimon, Diana Mindroc Scholz, Patrick Tran, Thuy Nuong Bruno, Pierangela Arbelaéz, Pablo Bian, Gui-Bin Bodenstedt, Sebastian Bolmgren, Jon Lindström Bravo-Sánchez, Laura Chen, Hua-Bin González, Cristina Guo, Dong Halvorsen, Pål Heng, Pheng-Ann Hosgor, Enes Hou, Zeng-Guang Isensee, Fabian Jha, Debesh Jiang, Tingting Kirtac, Kadir Jin, Yueming Kletz, Sabrina Leger, Stefan Li, Zhixuan Maier-Hein, Klaus H. Ni, Zhen-Liang Riegler, Michael A. Schoeffmann, Klaus Shi, Ruohua Speidel, Stefanie Stenze, Michael Twick, Isabell Wang, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Zhang, Yujie Zhou, Yan-Jie Zhu, Lei Wiesenfarth, Manuel Kopp-Schneider, Annette Müller-Stich, Beat P. Maier-Hein, Lena Heidelberg Germany University of Heidelberg Germany Heidelberg Germany Department of General Heidelberg University Hospital Visceral and Transplant Surgery Heidelberg Germany caresyntax Berlin Germany University of Chinese Academy Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China SimulaMet Oslo Norway Tromsø Norway Oslo Norway School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Partner Site Dresden Heidelberg Germany Faculty of Medicine and University Hospital Carl Gustav Carus Technische Universität Dresden Dresden Germany Dresden Germany Universidad de Los Andes Bogotá Colombia Peking University Peking China Department of Computer Science School of Informatics Xiamen University Xiamen China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong German Cancer Research Center Division of Biostatistics Heidelberg Germany Institute of Information Technology Klagenfurt University Austria

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and roboticassisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, the reliable performance of state-of-the-art methods when run on challenging images (e.g. in the presence of blood, smoke or motion artifacts). Secondly, generalization;algorithms trained for a specific intervention in a specific hospital should generalize to other interventions or institutions. In an effort to promote solutions for these limitations, we organized the Robust Medical Instrument Segmentation (ROBUST-MIS) challenge as an international benchmarking competition with a specific focus on the robustness and generalization capabilities of algorithms. For the first time in the field of endoscopic image processing, our challenge included a task on binary segmentation and also addressed multi-instance detection and segmentation. The challenge was based on a surgical data set comprising 10,040 annotated images acquired from a total of 30 surgical procedures from three different types of surgery. The validation of the competing methods for the three tasks (binary segmentation, multi-instance detection and multi-instance segmentation) was performed in three different stages with an increasing domain gap between the training and the test data. The results confirm the initial hypothesis, namely that algorithm performance degrades with an increasing domain gap. While the average detection and segmentation quality of the best-performing algorithms is high, future research should concentrate on detection and segmentation of small, crossing, moving and transparent instrument(s) (parts). Copyright © 2020, The Authors. All rights reserved.

关键词： Endoscopy

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Cost-optimal model predictive scheduling of home appliances

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IFAC-PapersOnLine 2017年第1期50卷 3344-3349页

作者： Bálint R. Magyar A. Hangos K.M. Department of Electrical Engineering and Information Systems Faculty of Information Technology University of Pannonia Veszprém Hungary Process Control Research Group HAS Research Institute for Computer Science and Control Budapest Hungary

A novel heuristic model-based optimal scheduling algorithm is proposed in this paper to operate heating and cooling type home appliances connected to smart grids where the price of the electrical energy is known in advance and temperature constraints are present. The properties and the use of the proposed algorithm are shown using a simple refrigerator model. The accuracy and the computational properties of the proposed method are compared to the schedule generated by the MPT toolbox. The algorithm works well with a relatively short prediction horizon using a fraction of the computing time needed for the MPT-based method. The robustness of the algorithm is also investigated with respect to the load of the refrigerator. It is shown that the designed schedule with an empty refrigerator is always suitable, yet not optimal, for any loaded case. © 2017

关键词： Demand side management Heuristics Model predictive control Scheduling algorithms Smart grids

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Self-Awareness for Autonomous systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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Variable gain PI with fractional order for doubly fed induction generator used in a chain of wind power conversion 10

Variable gain PI with fractional order for doubly fed induct...

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10th International Symposium on Advanced Topics in electrical engineering, ATEE 2017

作者： Andriniriniaimalaza, Philibert Fanambinantsoa Andrianantenaina, Tsiory Patrick Razafinjaka, Nirinarison Jean Digital Control Laboratory of Electrical Drive Systems Electrical Engineering Faculty University Politehnica Bucharest Romania Automatic Laboratory Department of Electricity Higher Polytechnic School University of Antsiranana Madagascar

ISBN: (纸本)9781479975143

Currently, variable gain PI (VGPI) controllers are used in several applications. Its structure is built around PI controller tuning and usually an entire number is chosen for the order or degree. This paper deals with a study of a VGPI with fractional order (VGPIFO). For the PI controller tuning, a method called general method (MG) is adopted. Then, the VGPI one is established. The proposed controller is applied on a doubly fed induction generator (DFIG) inserted in a chain of wind power conversion. Simulation results show that this new controller leads to good performances as test tracking, disturbance rejection and robustness with respect to system operation variation and parameters variation. © 2017 IEEE.

关键词： Wind power

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Saturated Continuous Twisting Algorithm

Saturated Continuous Twisting Algorithm

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International Workshop on Variable Structure systems, VSS

作者： M. A. Golkani L. M. Fridman S. Koch M. Reichhartinger M. Horn Faculty of Electrical and Information Engineering Graz University of Technology Graz Austria Department of Control Engineering and Robotics National Autonomous University of Mexico México D.F. Mexico Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz University of Technology Graz Austria

In this paper, a second-order system affected by perturbations is considered. A feedback control law adopting the continuous twisting algorithm is designed such that a saturated and continuous control signal is introduced to the system. In the case that a state variable is not measurable, estimate information obtained through a super-twisting observer is incorporated into the design. For the closed-loops (with and without observer), global finite-time stability properties are established. The feasibility and effectiveness of the strategy is shown employing numerical simulations.

关键词： Stability analysis Lyapunov methods Observers Perturbation methods Heuristic algorithms Actuators Feedback control

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Bayesian Frequency Domain Identification of LTI systems with OBFs Kernels

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IFAC-PapersOnLine 2017年第1期50卷 6238-6243页

作者： Darwish M.A.H. Lataire J. Tóth R. Control Systems Group Department of Electrical Engineering Eindhoven University of Technology P.O. Box 513 Eindhoven MB 5600 Netherlands Electrical Engineering Department Faculty of Engineering Assiut University Assiut 71515 Egypt Dept. ELEC (Fundamental Electricity and Instrumentation) Vrije Universiteit Brussel Pleinlaan 2 Brussels 1050 Belgium

Regularised Frequency Response Function (FRF) estimation based on Gaussian process regression formulated directly in the frequency-domain has been introduced recently The underlying approach largely depends on the utilised kernel function, which encodes the relevant prior knowledge on the system under consideration. In this paper, we show how to construct a rich class of kernel functions, directly in the frequency-domain, based on Orthonormal Basis Functions (OBFs), which is capable of representing a wide range of dynamical properties, e.g., stability, resonance frequencies, damping, etc, in terms of the poles of the employed basis functions that are treated as hyperparameters to efficiently shape the model class, i.e., the prior in the corresponding Bayesian setting. This class of kernel functions also implicitly guarantees the stability of the estimated FRF. The generating poles of the OBFs are tuned along with other hyperparameters, e.g., noise variance, by maximising the marginal likelihood. Multiple case studies are considered to show the potential of the considered kernels. © 2017

关键词： Frequency-domain Gaussian process regression Kernel functions Orthonormal basis functions Regularisation

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