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arXiv 2021年

作者： Koelewijn, Patrick J.W. Tóth, Roland Weiland, Siep Control Systems Group Faculty of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Systems and Control Laboratory Institute for Computer Science and Control Kende u. 13-17 BudapestH-1111 Hungary

Unlike for Linear Time-Invariant (LTI) systems, for nonlinear systems, there exists no general framework for systematic convex controller design which incorporates performance shaping. The Linear Parameter-Varying (LPV) framework sought to bridge this gap by extending convex LTI synthesis results such that they could be applied to nonlinear systems. However, recent literature has shown that naive application of the LPV framework can fail to guarantee the desired asymptotic stability guarantees for nonlinear systems. Incremental dissipativity theory has been successfully used in the literature to overcome these issues for Continuous-Time (CT) systems. However, so far no solution has been proposed for output-feedback based incremental control for the Discrete-Time (DT) case. Using recent results on convex analysis of incremental dissipativity for DT nonlinear systems, in this paper, we propose a convex output-feedback controller synthesis method to ensure closed-loop incremental dissipativity of DT nonlinear systems via the LPV framework. The proposed method is applied on a simulation example, demonstrating improved stability and performance properties compared to a standard LPV controller design. Copyright © 2021, The Authors. All rights reserved.

关键词： Nonlinear systems

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Data-Driven Predictive control for Linear Parameter-Varying systems ⁎

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IFAC-PapersOnLine 2021年第8期54卷 101-108页

作者： Chris Verhoek Hossam S. Abbas Roland Tóth Sofie Haesaert Control Systems Group Dept. of Electrical Engineering Eindhoven University of Technology Eindhoven 5600MB The Netherlands Institute for Electrical Engineering in Medicine Universität zu Lübeck 23558 Lübeck Germany Systems and Control Lab Institute for Computer Science and Control (SZTAKI) Kende u. 13-17 1111 Budapest Hungary

Based on the extension of the behavioral theory and the Fundamental Lemma for Linear Parameter-Varying (LPV) systems, this paper introduces a Data-driven Predictive control (DPC) scheme capable to ensure reference tracking and satisfaction of Input-Output (IO) constraints for an unknown system under the conditions that (i) the system can be represented in an LPV form and (ii) an informative data-set containing measured IO and scheduling trajectories of the system is available. It is shown that if the data set satisfies a persistence of excitation condition, then a data-driven LPV predictor of future trajectories of the system can be constructed from the IO data set and online measured data. The approach represents the first step towards a DPC solution for nonlinear and time-varying systems due to the potential of the LPV framework to represent them. Two illustrative examples, including reference tracking control of a nonlinear system, are provided to demonstrate that the data-based LPV-DPC scheme, achieves similar performance as LPV model-based predictive control.

关键词： Predictive control Data-Driven control Linear Parameter-Varying systems Non-Parametric Methods

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Recent advances in catalytic filters for integrated removal of dust and NOx from flue gas:fundamentals and applications

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Resources Chemicals and Materials 2022年第3期1卷 275-289页

作者： Changming Li Lin Huangfu Jianling Li Shiqiu Gao Guangwen Xu Jian Yu State Environmental Protection Key Laboratory of Food Chain Pollution Control School of Ecology and EnvironmentBeijing Technology and Business UniversityBeijing 100048China. State Key Laboratory of Vanadium and Titanium Resources Comprehensive Utilization Pangang Group Research Institute Co.LtdPanzhihua 617000China State Key Laboratory of Multi-phase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China. School of Chemical Engineering Shenyang University of Chemical TechnologyShenyang 110142LiaoningChina

Catalytic filters including catalytic bag filters and catalytic filter candles, which couple the filters with denitrification catalysts to obtain the ability to simultaneously remove SOx, NOx and dust, have become the promising applied technology for the integrated flue gas treatment because of their huge advantages in reducing the initial investment, floor occupancy and maintenance cost. In this review, we will summarize the recent advances in the development of catalytic filters in terms of their process principles, filter material, denitrification catalysts, structure-function relationships and industrial applications. Moreover, suggestions about the current challenges and future opportunities are also given from the viewpoints of catalysts and filter material design, catalytic filter preparation methods, and their poisoning and regeneration, etc. With the further development of theory and engineering research, the extensive industrial application of catalytic filters in the field of multiple pollutants flue gas treatment is highly anticipated in the future.

关键词： Catalytic filter candles Catalytic bag filters Integrated flue gas treatment Industrial application

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On exploration requirements for learning safety constraints

arXiv

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arXiv 2021年

作者： Massiani, Pierre-François Heim, Steve Trimpe, Sebastian Intelligent Control Systems Group Max Planck Institute for Intelligent Systems Stuttgart Germany Data Science in Mechanical Engineering RWTH Aachen University Aachen Germany

Enforcing safety for dynamical systems is challenging, since it requires constraint satisfaction along trajectory predictions. Equivalent control constraints can be computed in the form of sets that enforce positive invariance, and can thus guarantee safety in feedback controllers without predictions. However, these constraints are cumbersome to compute from models, and it is not yet well established how to infer constraints from data. In this paper, we shed light on the key objects involved in learning control constraints from data in a model-free setting. In particular, we discuss the family of constraints that enforce safety in the context of a nominal control policy, and expose that these constraints do not need to be accurate everywhere. They only need to correctly exclude a subset of the state-actions that would cause failure, which we call the critical set. Copyright © 2021, The Authors. All rights reserved.

关键词： Dynamical systems

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Multi-segment Bidding Behaviors of Power Units: Price-capacity-pair Analysis and Modeling 36

Multi-segment Bidding Behaviors of Power Units: Price-capaci...

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36th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2021

作者： Hou, Shuangshuang Wang, Ying Li, Lili Zhao, Jing Ning, Jia Zhang, Kaifeng Southeast University College of Software Suzhou China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China State Grid Electric Power Research Institute Nari Group Corporation Nanjing China Nanjing Institute of Technology School of Electric Power Engineering Nanjing China

ISBN: (纸本)9781665437127

With the deregulation of the power market, power units are allowed to make strategic biddings. The bidding results of the strategic bidding market are substantially different from the ones in the previous regulated market. Such differences in the bidding results will further have impacts on the power flow and system security. Thus, it is important to analyze and establish a model to simulate the bidding behaviors of the power units. This paper proposes a price-capacity-pairs model to simulate multi-segment bidding behavior. We select five vital factors that affect biddings behaviors as input: load, capacity, supply-demand ratio, bidders' bidding tendency and unit type. Based on the three-segment bidding rule, the price-capacity pair is used. For uncertain price or capacity, we choose a truncated normal distribution model. Scenario generation and reduction are achieved by Monte Carlo simulation and fuzzy C-means clustering algorithm. We apply our method to a case study based on Guangdong's market in China. The simulation of wind power units, coal power units and gas power units has verified the correctness of the model. © 2021 IEEE.

关键词： Power markets

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Self-consistent equilibrium of a helical magnetic flux rope in a finite-pressure plasma

arXiv

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arXiv 2024年

作者： Cheremnykh, Oleg K. Fedun, Viktor Lashkin, Volodymyr M. Space Research Institute Pr. Glushkova 40 k.4/1 Kyiv03187 Ukraine Plasma Dynamics Group Department of Automatic Control and Systems Engineering The University of Sheffield SheffieldS1 3JD United Kingdom Institute for Nuclear Research Pr. Nauki 47 Kyiv03028 Ukraine

We present an analytical model of the self-consistent equilibrium of a magnetic flux rope which is obtained in cylindrical geometry. The equilibrium azimuthal magnetic field and plasma pressure are determined in a self-consistent way through the current density which is derived as a solution of a nonlinear equation. By minimizing the energy functional, it was shown that the constrained equilibrium state is stable. The obtained results are also applicable to the cylindrical tokamak magnetic configurations. It is shown that the analytically predicted radial profiles of equilibrium quantities are in good agreement with the experimental data. Copyright © 2024, The Authors. All rights reserved.

关键词： Nonlinear equations

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Data-Driven LQR Design for LTI systems with Exogenous Inputs

Data-Driven LQR Design for LTI systems with Exogenous Inputs

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Mediterranean Conference on control and Automation (MED)

作者： Vijayanand Digge Ramkrishna Pasumarthy Department of Electrical Engineering Indian Institute of Technology Madras Chennai India Department of Electrical Engineering Robert Bosch Center of Data Science and Artificial Intelligence Network Systems Learning Control and Evolution Group Indian Institute of Technology Madras Chennai India

ISBN: (数字)9781665406734

ISBN: (纸本)9781665406741

This paper presents a data-driven state feedback control law, based on a linear quadratic regulator (LQR) design, for systems with exogenous inputs. In general, this framework is referred to as a data-driven min-max controller, and is more robust to disturbances than the standard LQR controllers. Instead of relying on system models, in this work, the state feedback control law is computed directly from the knowledge of the inputs and the states. The LQR gain is parametrized with matrices that are directly estimated using open-loop experiment data of the system. We experimentally validate our results by implementing the data driven controller for performance management of a web-server hosted on a private cloud.

关键词： Linear systems State feedback Regulators Riccati equations Markov processes Mathematical models Parametric statistics

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VIO-aided structure from motion under challenging environments

arXiv

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arXiv 2021年

作者： Jiang, Zijie Taira, Hajime Miyashita, Naoyuki Okutomi, Masatoshi Dept. of Systems and Control Engineering Tokyo Institute of Technology Japan R&D Group Olympus Corporation Japan

In this paper, we present a robust and efficient Structure from Motion pipeline for accurate 3D reconstruction under challenging environments by leveraging the camera pose information from a visual-inertial odometry. Specifically, we propose a geometric verification method to filter out mismatches by considering the prior geometric configuration of candidate image pairs. Furthermore, we introduce an efficient and scalable reconstruction approach that relies on batched image registration and robust bundle adjustment, both leveraging the reliable local odometry estimation. Extensive experimental results show that our pipeline performs better than the state-of-the-art SfM approaches in terms of reconstruction accuracy and robustness for challenging sequential image collections. Copyright © 2021, The Authors. All rights reserved.

关键词： Pipelines

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A Backstepping Integral Sliding Mode controller Design for Partial Feedback Linearized Models of Synchronous Generators in Simple Power systems to Improve the Transient Stability

A Backstepping Integral Sliding Mode Controller Design for P...

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Smart Technologies for Power, Energy and control (STPEC), IEEE International Conference on

作者： M. A. H. Pramanik T. K. Roy M. S. Anower S. K. Ghosh M. A. Mahmud Rajshahi University of Engineering & Technology Rajshahi Bangladesh Electrical Power & Control Systems Research Group Faculty of Engineering and Environment Northumbria University Newcastle UK

ISBN: (纸本)9781665443203

This paper proposes a backstepping integral sliding mode controller (BISMC) based on the partial feedback linearization (PFBL) of the detailed model of synchronous generators (SGs) in simple power networks. The proposed scheme is designed to obtain the excitation control input using the detailed model of SGs in a simple power system where the PFBL is used to simplify the model. The BISMC is employed on this simplified model to ensure the transient stability during large disturbances. The inherent property of the BISMC tackles the chattering and overcomes the parameter sensitivity problem of the PFBL scheme. Simulation studies are conducted under different operating situations to justify the effectiveness of the proposed PFBL-BISMC over a partial feedback linearizing controller (PFBLC).

关键词： Damping Backstepping Sensitivity Simulation Power system dynamics Power system stability Synchronous generators

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A Three-Level Mechanism for Flexibility-Oriented Energy Management of Renewable-Based Community Microgrids with High Penetration of Smart Homes and Electric Vehicles

SSRN

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SSRN 2023年

作者： Mansouri, Seyed Amir Jordehi, Ahmad Rezaee Tostado-Véliz, Marcos Jurado, Francisco Northumbria University Electrical Power and Control Systems Research Group Ellison Place NE1 8ST Newcastle upon Tyne United Kingdom Department of Electrical Engineering Rasht Branch Islamic Azad University Rasht Iran Department of Electrical Engineering University of Jaén EPS Linares Jaén23700 Spain

We have developed a multi-level mechanism for flexibility-oriented energy management (FOEM) of the distribution system, in which the flexibility required by the main grid is provided through resources within renewable-based microgrids (RBMGs), including distributed generations (DGs), storage systems (SDs), internet-of-things enabled smart homes (IESHs), and plug-in electric vehicles (PEVs). In the first level, IESHs are programmed in a decentralized space subject to satisfying the residents' satisfaction index (SI). In the second level, RBMGs are programmed according to the announced plan of IESHs. Ultimately, in the third level, the operator of the main grid calculates the required flexibility capacities of the system according to the announced plans of RBMGs, where a risk-averse strategy is adopted to manage the risk of programming. Next, the main grid operator announces the required flexibility capacities to RBMGs and IESHs so that they can re-plan with the possibility of participating in flexibility markets. The numerical results clarify that the participation of RBMGs, IESHs and plug-in electric vehicles (PEVs) in providing flexibility capacities not only reduces the dependence of the distribution system on the upstream grid (UG), but also reduces the total daily costs by 30.7%. © 2023, The Authors. All rights reserved.

关键词： Energy management

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