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A Non-Parametric LPV Approach to the Indentification of Linear Periodic systems ⁎

IFAC-PapersOnLine 2021年第8期54卷 13-19页

作者： Paulo Lopes dos Santos T-P Azevedo Perdicoúlis INESC TEC - Institute for Systems and Computer Engineering Technology and Science and FEUP - Faculty of Engineering University of Porto Rua Dr Roberto Frias s/n 4200-464 Porto Portugal Universidade de Trás-os-Montes e Alto Douro Vila Real and Instituto de Sistemas e Robótica (ISR) Coimbra both in Portugal

A non-parametric identification algorithm is proposed to identify Linear Time Periodic (LTP) systems. The period is unknown and can be any real positive number. The system is modelled as an ARX Linear Parameter Varying (LPV) system with a virtual scheduling signal consisting of two orthogonal sinusoids (a sine and a cosine) with a period equal to the system period. Hence, the system parameters are polynomial functions of the scheduling vector. As these polynomials may have infinite degree, a non-parametric model is adopted to describe the LPV system. This model is identified by a Gaussian Process Regression (GPR) algorithm where the system period is a hyperparameter. The performance of the proposed identification algorithm is illustrated through the identification of a simulated LTP continuous system described by a state-space model. The ARX-LTP discrete-time model estimated in the noiseless case was taken as the true model.

关键词： System Identification LTP systems LPV systems Arx Gaussian Process Regression Kernel

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Crowd and Urban Storytelling: Evaluating a Collective Intelligence Model to Support Discussions about the City

Crowd and Urban Storytelling: Evaluating a Collective Intell...

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International Conference on computer Supported Cooperative Work in Design

作者： Ramon Chaves Claudia Motta Antó nio Correia Hugo Paredes Bá rbara Caetano Jano Moreira De Souza Daniel Schneider Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil T&#x00E9 rcio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil UTAD INESC TEC and University of Tr&#x00E1 s-os-Montes e Alto Douro Vila Real Portugal Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil

In recent years, digital technologies have been used to support discussions about the city and also to involve citizens in participatory public processes. However, despite the widespread use of social media platforms, old issues related to engagement and participation still persist in digital initiatives. The main goal of this study is to carry out an empirical evaluation of a collective intelligence model that combines crowdsourcing and social storytelling to support discussions about the city from a bottom-up perspective. Within a design science research approach we designed a participatory action study that was carried out through a workshop with students and professionals from different areas, such as architecture, urban design and information technology. As a result, we were able to assess whether the collective intelligence model was acceptable to the participants by investigating whether the behavioral assumptions were valid and thus outlining some contributions to the field of urban informatics.

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Learning to Play Precision Ball Sports from scratch: a Deep Reinforcement Learning Approach

Learning to Play Precision Ball Sports from scratch: a Deep ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Liliana Antão Armando Sousa Luís Paulo Reis Gil Gonçalves SYSTEC - Research Center for Systems and Technologies FEUP - Faculty of Engineering University of Porto INESC TEC-INESC Technology and Science LIACC - Artificial Intelligence and Computer Science Laboratory

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Over the last years, robotics has increased its interest in learning human-like behaviors and activities. One of the most common actions searched, as well as one of the most fun to replicate, is the ability to play sports. This has been made possible with the steady increase of automated learning, encouraged by the tremendous developments in computational power and improved reinforcement learning (RL) *** paper implements a beginner Robot player for precision ball sports like boccia and bocce. A new simulated environment (PrecisionBall) is created, and a seven degree-of-freedom (DoF) robotic arm, is able to learn from scratch how to win the game and throw different types of balls towards the goal (the jack), using deep reinforcement learning. The environment is compliant with OpenAI Gym, using the MuJoCo realistic physics engine for a realistic simulation. A brief comparison of the convergence of different RL algorithms is performed. Several ball weights and various types of materials correspondent to bocce and boccia are tested, as well as different friction coefficients. Results show that the robot achieves a maximum success rate of 92.7% and mean of 75.7% for the best case. While learning to play these sports with the DDPG+HER algorithm, the robotic agent acquired some relevant skills that allowed it to win.

关键词： Machine learning Games Lifting equipment Task analysis Manipulators

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Interdependence between transportation system and power distribution system: a comprehensive review on models and applications

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Journal of Modern Power systems and Clean Energy 2019年第3期7卷 433-448页

作者： Wei WEI Danman WU Qiuwei WU Miadreza SHAFIE-KHAH Joao PSCATALAO State Key Laboratory of Power System Department ofElectrical EngineeringTsinghua UniversityBeijingChina Department of Electrical Engineering Technical Universityof DenmarkCopenhagenDenmark School of Technology and Innovations University of VaasaVaasaFinland Institute for Systems and Computer Engineering Technologyand Science(INESC TEC)PortoPortugal Faculty of Engineering University of PortoPortoPortugal

The rapidly increasing penetration of electric vehicles(EVs) in modern metropolises has been witnessed during the past decade, inspired by financial subsidies as well as public awareness of climate change and environment pro-tection. Integrating charging facilities, especially highpower chargers in fast charging stations, into power distribution systems remarkably alters the traditional load flow pattern, and thus imposes great challenges on the operation of distribution network in which controllable resources are rare. On the other hand, provided with appropriate incentives, the energy storage capability of electric vehicle offers a unique opportunity to facilitate the integration of distributed wind and solar power generation into power distribution system. The above trends call for thorough investigation and research on the interdependence between transportation system and power distribution system. This paper conducts a comprehensive survey on this line of research. The basic models of transportation system and power distribution system are introduced,especially the user equilibrium model, which describes the vehicular flow on each road segment and is not familiar to the readers in power system community. The modelling of interdependence across the two systems is *** into account such interdependence, applications ranging from long-term planning to short-term operation are reviewed with emphasis on comparing the description of traffic-power interdependence. Finally, an outlook of prospective directions and key technologies in future research is summarized.

关键词： Charging station Electric vehicle(EV) Interdependence Power flow Power distribution system Transportation system User equilibrium

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Explainable Predictive Maintenance

arXiv

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arXiv 2023年

作者： Pashami, Sepideh Nowaczyk, Slawomir Fan, Yuantao Jakubowski, Jakub Paiva, Nuno Davari, Narjes Bobek, Szymon Jamshidi, Samaneh Sarmadi, Hamid Alabdallah, Abdallah Ribeiro, Rita P. Veloso, Bruno Sayed-Mouchaweh, Moamar Rajaoarisoa, Lala Nalepa, Grzegorz J. Gama, João Center for Applied Intelligent Systems Research Halmstad University Sweden Rise Research Institutes of Sweden Sweden Mark Kac Center for Complex Systems Research Institute of Applied Computer Science Jagiellonian University Kraków31-007 Poland Inesc Tec Porto4200-465 Portugal Faculty of Economics University of Porto Porto4200-464 Portugal Faculty of Sciences University of Porto Porto4169-007 Portugal Imt Nord Europe University of Lille Centre for Digital Systems LilleF-59000 France Department of Applied Computer Science Agh Univ. of Science and Technology Kraków30-059 Poland Nos Comunicações S.A. Senhora da Hora4460-191 Portugal

Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including data scientists, domain experts, end-users, and more. It aids in deciphering the intricate internal mechanisms of "black box" Machine Learning (ML), rendering the reasons behind their decisions more understandable. However, current research in XAI primarily focuses on two aspects;ways to facilitate user trust, or to debug and refine the ML model. The majority of it falls short of recognising the diverse types of explanations needed in broader contexts, as different users and varied application areas necessitate solutions tailored to their specific needs. One such domain is Predictive Maintenance (PdM), an exploding area of research under the Industry 4.0 & 5.0 umbrella. This position paper highlights the gap between existing XAI methodologies and the specific requirements for explanations within industrial applications, particularly the Predictive Maintenance field. Despite explainability's crucial role, this subject remains a relatively under-explored area, making this paper a pioneering attempt to bring relevant challenges to the research community's attention. We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations. We then list and describe XAI techniques commonly employed in the literature, discussing their suitability for PdM tasks. Finally, to make the ideas and claims more concrete, we demonstrate XAI applied in four specific industrial use cases: commercial vehicles, metro trains, steel plants, and wind farms, spotlighting areas requiring further research. © 2023, CC BY.

关键词： Industry 4.0

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5.36 Gbit/s OFDM optical wireless communication link over the underwater channel

5.36 Gbit/s OFDM optical wireless communication link over th...

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International Symposium on Communication systems, Networks and Digital Signal Processing, CNSDSP

作者： João H. Araújo Rafael Kraemer Joana S. Tavares Francisco Pereira H. M. Salgado L. M. Pessoa Institute for Systems and Computer Engineering Technology and Science INESC TEC Porto Portugal School of Engineering Polytechnic Institute of Porto Porto Portugal Faculty of Engineering University of Porto Porto Portugal

ISBN: (数字)9781728167435

ISBN: (纸本)9781728160511

An OFDM transmission system is reported based on a directly modulated blue LASER diode, for high bit rate under-water optical communication applications. The 256 subcarriers 16-QAM signal is transmitted over a total distance of 2.4 m underwater with an EVM lower than -28.5 dB for a 250 MHz bandwidth and -16.5 dB for a 2 GHz bandwidth, the BER being lower than the forward error corrector limit. At the maximum bandwidth of 2 GHz a transmission rate of 5.36 Gbit/s is achieved.

关键词： Wireless communication OFDM Bandwidth Optical fiber networks Optical transmitters Optical modulation Optical signal processing

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Ramp analysis of the Portuguese net load under different decarbonization scenario

Ramp analysis of the Portuguese net load under different dec...

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2019 IEEE Milan Powertech, Powertech 2019

作者： Magalhaes, Jorge Dias De Villar, Jose Faculdade de Engenharia da Universidade Do Porto Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9781538647226

European energy strategy towards decarbonization, and its practical implementations in the different EU countries, will imply a continuous increase of variable (non-dispatchable) renewable energy (VRE), like wind and solar PV generation. This increasing VRE along with the progressive closing of current greenhouse gas (GHG) emitting plants, will decrease the net demand (inflexible demand minus non-dispatchable generation), reducing the amount of dispatchable generation needed to face both low VRE periods and larger net demand ramps. These problems need to be assessed to anticipate possible mismatches between net demand values and ramps, and the available resources with generation and ramping capabilities, so that the security and quality of supply is guaranteed. In case of expected risk, regulatory mechanisms, such as new market clearing rules or incentives to new flexibility sources or to new generation and storage technologies, could be required. This paper looks at the possible evolution of the Portuguese power system focusing on the net demand ramp problem. The historical and expected evolution of the hourly ramps of the net demand are analyzed considering different scenarios of high wind and solar PV penetration, according to different degrees of convergence to the EU energy strategic objectives. © 2019 IEEE.

关键词： Greenhouse gases

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Organizational Enablers to the Governance of Collaborative University-Industry R&D Programs

Organizational Enablers to the Governance of Collaborative U...

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International Conference on Concurrent Enterprising

作者： Gabriela Fernandes Sara Leite Madalena Araújo Ana Correia Simões University of Coimbra Coimbra Portugal University of Minho Guimarães Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (数字)9781728170374

ISBN: (纸本)9781728170381

Governance has a significant impact on the success of programs and projects. However, governance of collaborative university-industry projects and programs in literature, is a rather scarce topic. Based on an ethnographic study of a large university-industry collaboration, this paper proposes a conceptual framework of Organizational Enablers (OEs) to improve the governance of collaborative university-industry R&D programs. An exploratory research was carried out, aiming to learn from the experience of program and project managers and other program stakeholders of the case under study. Qualitative data was collected using participant observation and document analysis. The framework highlights nine OEs: `Established governance policies and values', `Formal Governance support structures', `Flexible organization structures', `Standardization of program and project management practices', `Different management approaches to fit the project needs', `Clearly defined roles and responsibilities', `Different means of communication and interaction', `Top management Support' and `Projects strategic alignment within the industry and university roadmaps'.

关键词： Collaboration Industries Organizations Standards organizations Project management Stakeholders Contracts

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Selecting the Optimal Signals in Phasor Measurement Unit-based Power System Stabilizer Design

Selecting the Optimal Signals in Phasor Measurement Unit-bas...

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International Conference on Smart Energy systems and technologies (SEST)

作者： Mahsa Rezaei Maryam Dehghani Navid Vafamand Bita Shayanfard Mohammad Sadegh Javadi João P. S. Catalão School of Electrical and Computer Engineering Shiraz University Shiraz Iran Fars Regional Electric Company Shiraz Iran Institute for Systems and Computer Engineering Technology and Science (INESC TEC.) Porto Portugal Faculty of Engineering of the University of Porto (FEUP) and INESC TEC Porto Portugal

ISBN: (数字)9781728147017

ISBN: (纸本)9781728147024

Phasor Measurement Unit (PMU) provides beneficial information for dynamic power system stability, analysis and control. One main application of such useful information is data-driven control. This paper is devoted to presenting an approach for optimal signal selection in PMU-based power system stabilizer (PSS) design. In this paper, for selecting the optimal input and output signals for PSS, an algorithm is suggested in which the combination of clustering the generators and the buses of the system with ICA, modal analysis and PCA techniques is used. The solution for optimal PSS input-output selection is found to increase the observability and damping of the power system. This method is simulated on a 68 buses system with 16 machines. To compare the results with the previous methods, the system is simulated and the results of two previously-developed algorithms are compared with the proposed approach. The results show the benefit of the suggested method in reducing the required signals, which lowers the number of required PMUs while the system damping is not deteriorated.

关键词： Covariance matrices Phasor measurement units Generators Modal analysis Principal component analysis Observability Power system stability

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Joint analysis of the Portuguese and Spanish NECP for 2021-2030

Joint analysis of the Portuguese and Spanish NECP for 2021-2...

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International Conference on European Electricity Market, EEM

作者： André Rodrigues de Oliveira José Villar Collado João Abel Peças Lopes João Paulo Tomé Saraiva Nuno Soares Fonseca Salvador Doménech Fco. Alberto Campos INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Institute for Research in Technology Comillas Pontifical University c/ Santa Cruz de Marcenado Madrid Spain

ISBN: (数字)9781728169194

ISBN: (纸本)9781728169200

The European Union (EU) energy strategy towards decarbonization led EU countries to elaborate their corresponding National Energy and Climate Plans (NECP) for the period 2021 to 2030. This paper analyzes the Portuguese and Spanish NECPs concerning their power systems. CEVESA, a model for the long-term planning and operation of the Iberian electricity system, is used. The analysis is based on simulating the reference NECP scenario, as well as other alternative scenarios with different solar and wind generation shares, CO2 prices and fuel costs. Results provide insights on the MIBEL electricity market evolution under the current decarbonization national strategies.

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