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2022 European Control Conference (ECC)最新文献

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Real-time Model Predictive Control for Wind Farms: a Koopman Dynamic Mode Decomposition Approach 风电场实时模型预测控制:一种Koopman动态模态分解方法
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838117
B. Sharan, A. Dittmer, H. Werner
{"title":"Real-time Model Predictive Control for Wind Farms: a Koopman Dynamic Mode Decomposition Approach","authors":"B. Sharan, A. Dittmer, H. Werner","doi":"10.23919/ECC55457.2022.9838117","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838117","url":null,"abstract":"This work demonstrates the application of Koopman-based system identification to wind farm control, where wake interactions are highly nonlinear in nature. The linear models identified using measurements and signals available in real-time, i.e effective wind speed at the turbine rotors and control signals, show more than 85 % variance-accounted-for (VAF). Different Koopman lifting function combinations, motivated by the 2D Navier-Stokes equations, governing the underlying wake interaction, are compared. The obtained Koopman models are used in closed-loop in the WFSim environment. The design of the qLMPC wind farm controller is provided and it is shown that the underlying quadratic programming (QP) converges in milliseconds thus making this design applicable in real-time to small wind farms. Finally, the results for power reference tracking obtained with qLMPC are shown based on estimated wind. It is demonstrated that using Koopman extended dynamic mode decomposition (EDMD) for wind estimation can lead to high-quality farm level control in the absence of wind measurements.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125196376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Consensus for Double Integrators using Binary Position Information with No Velocity Measurement 无速度测量的二元位置信息双积分器的一致性
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838116
Arijit Sen, S. R. Sahoo, Mangal Kothari
{"title":"Consensus for Double Integrators using Binary Position Information with No Velocity Measurement","authors":"Arijit Sen, S. R. Sahoo, Mangal Kothari","doi":"10.23919/ECC55457.2022.9838116","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838116","url":null,"abstract":"This paper proposes a consensus protocol for multiple double integrators using binary relative position measurements under a detailed-balanced digraph. In this protocol, an agent only requires two values to measure the positive and negative relative position of its neighbors. Compared to the existing binary measurement-based protocols, the presented protocol is free from agents' velocity measurements. The non-smooth Lyapunov analysis is utilized to establish that consensus is guaranteed under the proposed protocol for any detailed-balanced digraph with any positive gains. With numerical simulations, the proposed protocol is compared with the pre-vious binary measurement-based protocol to show that the performance under the proposed protocol is least affected despite the lack of velocity measurements.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120885864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blockchain-based peer to peer energy trading using distributed model predictive control 使用分布式模型预测控制的基于区块链的点对点能源交易
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838195
Manuel Sivianes, A. Zafra-Cabeza, C. Bordons
{"title":"Blockchain-based peer to peer energy trading using distributed model predictive control","authors":"Manuel Sivianes, A. Zafra-Cabeza, C. Bordons","doi":"10.23919/ECC55457.2022.9838195","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838195","url":null,"abstract":"The energy network is experiencing a decentralizing process due to the recent inclusion of distributed energy resources (DERs), such as photovoltaics (PV), electric vehicles (EV), or batteries. This paradigmatic shift involves new challenges that require enhancing the electricity system's flexibility while preserving its integrity and stability. One way of dealing with them is by unbundling the electrical network into smaller, more manageable units, known as microgrids (MG). Nonetheless, the usage of distributed architectures leads to more exchanged data and control information between end agents, involving security or privacy issues. In this context, blockchain technology emerges as a feasible solution that promises transparent, tamper-proof, and safe systems in a decentralized ecosystem. This paper proposes a distributed energy management platform that takes full advantage of the blockchain technology to enable safe peer to peer (P2P) transactions. A Distributed model predictive control (DMPC) scheme is adopted, and its performance is compared with the centralized approach.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"22 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120968080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Sensitivity Analysis for Powered Descent Guidance: Overcoming degeneracy 动力下降制导的灵敏度分析:克服退化
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838001
Hubert Ménou, E. Bourgeois, N. Petit
{"title":"Sensitivity Analysis for Powered Descent Guidance: Overcoming degeneracy","authors":"Hubert Ménou, E. Bourgeois, N. Petit","doi":"10.23919/ECC55457.2022.9838001","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838001","url":null,"abstract":"This paper exposes a method to handle inaccurate modeling and/or initial state errors during the Powered Descent Guidance (PDG), a critical phase of atmospheric rocket landing. For this, we develop a replanification method having reliable online computational capabilities. From a reference descent scenario, an optimal correction problem is formulated. After revisiting results on Non Linear Programming sensitivity for degenerate optimization problems, we conclude that Quadratic Programming (QP) provides a local solution to the replanification problem. Using three illustrative PDG scenarios, we stress degeneracy and show how QP is used to evaluate the upper Dini derivatives at stake. Further, we discuss to what extent QP also provides a quantitatively reasonable solution outside a small neighboorhood of the reference scenarios.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121112835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Single-Input Assignment Design for Stabilization of Undirected Networks Towards Ultra-Early Medical Treatment 面向超早期医疗的无向网络镇定的单输入分配设计
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838461
Hitoshi Yasukata, Masahide Morishita, Xun Shen, J. Imura
{"title":"Single-Input Assignment Design for Stabilization of Undirected Networks Towards Ultra-Early Medical Treatment","authors":"Hitoshi Yasukata, Masahide Morishita, Xun Shen, J. Imura","doi":"10.23919/ECC55457.2022.9838461","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838461","url":null,"abstract":"For the realization of ultra-early medical care, a method to detect early-warning signals of the transitions to a disease state, which are considered as critical transitions (bifurcation) of dynamical systems, has been developed since 2014. Towards developing a new treatment at an ultra-early medical stage when a critical transition just occurs, in this paper, we address a stabilization problem of an undirected network system by the pole placement method, where no network system model is available, from the control engineering point of view, and propose a theoretical method to design the optimal single-input assignment with high-dimension, small-sample-size data. In addition, we propose an approximate design method based on observed data and show its effectiveness by numerical simulations.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127281900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Distributed Optimization for Mixed-Integer Consensus in Multi-Agent Networks 多智能体网络中混合整数一致性的分布式优化
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838543
Zonglin Liu, O. Stursberg
{"title":"Distributed Optimization for Mixed-Integer Consensus in Multi-Agent Networks","authors":"Zonglin Liu, O. Stursberg","doi":"10.23919/ECC55457.2022.9838543","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838543","url":null,"abstract":"This paper considers the consensus of mixed-integer linear programming (MILP) problems as occurring in distributed control and machine learning of multi-agent networks. Unlike existing work on consensus problems, in which the agents only have to agree on the continuous part of their decision variables, this paper proposes a new method to enable them to also agree on the integer part. This mixed-integer setting may arise from distributed control problems of hybrid dynamical systems, or distributed machine learning problems using support vector machines. It is shown in this paper that the consensus of mixed-integer variables is guaranteed to be achieved by a tailored series of continuous consensus problems.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125792856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Finite-Time and Adaptive Observer based Fully Distributed Synchronization of Heterogeneous Linear Systems with Delays 基于有限时间自适应观测器的时滞异构线性系统全分布同步
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838108
Wei Jiang, Themistoklis Charalambous
{"title":"Finite-Time and Adaptive Observer based Fully Distributed Synchronization of Heterogeneous Linear Systems with Delays","authors":"Wei Jiang, Themistoklis Charalambous","doi":"10.23919/ECC55457.2022.9838108","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838108","url":null,"abstract":"In this paper, the output synchronization (OS) problem of heterogeneous linear multi-agent systems (MASs) with input delays is addressed. Agents may have different state dimensions and different dynamics. A finite-time observer (FO) is firstly proposed to estimate the uncertain leader's system dynamics. Then, based on the above FO, an adaptive observer (AO) is designed to estimate leader's state information. Thirdly, a novel state predictor is proposed to tackle the input delay effect based on the above AO and output regulation theory. After that, a third observer is designed to estimate the above state predictor so that the controller can be implemented in reality. The stability analysis is performed via Lyapunov stability theory with sufficient conditions derived in terms of an algebraic Riccati equation. The main achievement of this work is the construction of an observer-based fully distributed controller (FDC) which relies on local information only and does not require knowledge of the leader's dynamics or global graph information. As a result, such an approach can be implemented to large-scale systems. Finally, the effectiveness of the proposed FDC is verified via simulations and the influence of the system's graph structure on the convergence rate of the FDC is discussed.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Assessment of computation methods for coalitional feedback controllers 联合反馈控制器计算方法的评估
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838577
A. Maxim, Ovidiu Pauca, J. Maestre, C. Caruntu
{"title":"Assessment of computation methods for coalitional feedback controllers","authors":"A. Maxim, Ovidiu Pauca, J. Maestre, C. Caruntu","doi":"10.23919/ECC55457.2022.9838577","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838577","url":null,"abstract":"This paper proposes a comparative assessment between gradient-based and LMI (Linear Matrix Inequality)-based computational methods for coalitional feedback controllers. The analysis is performed in the context of multi-agent networked systems with bidirectional communication links. In particular, we compare three methods based on gradient optimisation, which use different strategies to compute the feedback gain, with LMI-based methods typically employed to compute this type of controllers. The simulation results show that the proposed gradient-based methods can outperform the LMI-based methodology, but at the expense of higher computational cost.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126733804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Towards lifelong learning of Recurrent Neural Networks for control design 递归神经网络在控制设计中的终身学习
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838393
Fabio Bonassi, Jing Xie, M. Farina, R. Scattolini
{"title":"Towards lifelong learning of Recurrent Neural Networks for control design","authors":"Fabio Bonassi, Jing Xie, M. Farina, R. Scattolini","doi":"10.23919/ECC55457.2022.9838393","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838393","url":null,"abstract":"This paper proposes a method for lifelong learning of Recurrent Neural Networks, such as NNARX, ESN, LSTM, and GRU, to be used as plant models in control system synthesis. The problem is significant because in many practical applications it is required to adapt the model when new information is available and/or the system undergoes changes, without the need to store an increasing amount of data as time proceeds. Indeed, in this context, many problems arise, such as the well known Catastrophic Forgetting and Capacity Saturation ones. We propose an adaptation algorithm inspired by Moving Horizon Estimators, deriving conditions for its convergence. The described method is applied to a simulated chemical plant, already adopted as a challenging benchmark in the existing literature. The main results achieved are discussed.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115206774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Stabilization of the Acrobot via sampled-data passivity-based control 基于采样数据被动控制的Acrobot稳定化
2022 European Control Conference (ECC) Pub Date : 2022-07-12 DOI: 10.23919/ECC55457.2022.9838198
Mattia Mattioni, Alessio Moreschini, S. Monaco, D. Normand-Cyrot
{"title":"Stabilization of the Acrobot via sampled-data passivity-based control","authors":"Mattia Mattioni, Alessio Moreschini, S. Monaco, D. Normand-Cyrot","doi":"10.23919/ECC55457.2022.9838198","DOIUrl":"https://doi.org/10.23919/ECC55457.2022.9838198","url":null,"abstract":"The paper deals with the sampled-data asymptotic stabilization of the Acrobot at its upward equilibrium. The proposed controller results from the action of an Input-Hamiltonian-Matching (IHM) strategy that shapes the closed-loop energy combined with a Damping Injection (DI) feedback designed on the sampled-data equivalent model. Simulations show the effectiveness of the proposed controller.","PeriodicalId":374682,"journal":{"name":"2022 European Control Conference (ECC)","volume":"63 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116441006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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