2021 60th IEEE Conference on Decision and Control (CDC)最新文献

Reference signal shaping for closed-loop systems with causality constraints 带因果约束的闭环系统参考信号整形

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683283

A. Dautt-Silva, R. A. Callafon

引用次数: 1

Robust Finite-Time Parameter Estimation for Linear Dynamical Systems 线性动力系统的鲁棒有限时间参数估计

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683268

Ryan S. Johnson, Adnane Saoud, R. Sanfelice

引用次数: 0

Event-Triggered ℓ2-Optimal Formation Control for Agents Modeled as LPV Systems LPV系统agent的事件触发2-最优群体控制

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683366

Hamideh Saadabadi, H. Werner

{"title":"Event-Triggered ℓ2-Optimal Formation Control for Agents Modeled as LPV Systems","authors":"Hamideh Saadabadi, H. Werner","doi":"10.1109/CDC45484.2021.9683366","DOIUrl":"https://doi.org/10.1109/CDC45484.2021.9683366","url":null,"abstract":"This paper proposes a novel approach to event-triggered formation control for homogeneous, non-holonomic multi-agent systems with undirected interaction topology, where the non-holonomic vehicle dynamics are represented by poly-topic linear-parameter-varying (LPV) models. The proposed event-triggered strategy is able to reduce the communication cost by transmitting information only when needed. To maintain a formation, each agent is equipped with an inner state-feedback loop that is time-triggered, while an outer position loop is closed by each agent individually through the communication network whenever a local trigger condition is satisfied. The control strategy can be implemented in a distributed manner; the trigger condition is based only on locally available information. The proposed method allows to simultaneously design a controller and a trigger level that guarantee stability and a bound on the overall ℓ2 performance of the network. The synthesis problem is formulated as an LMI problem. Under the additional assumption that the agents are homogeneously scheduled, the synthesis problem can be decomposed to reduce its complexity to the size of a single agent, regardless of the number of agents, without degrading the performance. The effectiveness of the results is illustrated in a simulation scenario with non-holonomic agents modeled as dynamic unicycles.","PeriodicalId":229089,"journal":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","volume":"2630 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115228837","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

Stability of power networks with time-varying inertia 时变惯性电网的稳定性

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683585

A. Kasis, S. Timotheou, M. Polycarpou

{"title":"Stability of power networks with time-varying inertia","authors":"A. Kasis, S. Timotheou, M. Polycarpou","doi":"10.1109/CDC45484.2021.9683585","DOIUrl":"https://doi.org/10.1109/CDC45484.2021.9683585","url":null,"abstract":"A major transition in modern power systems is the replacement of conventional generation units with renewable sources of energy. The latter results in lower rotational inertia which compromises the stability of the power system, as testified by the growing number of frequency incidents. To resolve this problem, numerous studies have proposed the use of virtual inertia to improve the stability properties of the power grid. In this study, we consider how inertia variations, resulting from the application of control action associated with virtual inertia and fluctuations in renewable generation, may affect the stability properties of the power network within the primary frequency control timeframe. We consider the interaction between the frequency dynamics and a broad class of non-linear power supply dynamics at the presence of time-varying virtual inertia and provide suitable conditions such that stability is guaranteed. In particular, we impose two conditions; a decentralized passivity-related condition on the power supply dynamics and a condition that associates the maximum rate of growth of virtual inertia with the local power supply dynamics. The presented conditions are locally verifiable and applicable to arbitrary network configurations. In addition, in case of linear power supply dynamics, they can be efficiently verified by solving suitable linear matrix inequalities. Our analytic results are validated with simulations on the Northeast Power Coordinating Council (NPCC) 140-bus system, where we demonstrate how varying virtual inertia may induce large frequency oscillations and show that the application of the proposed conditions yields a stable response.","PeriodicalId":229089,"journal":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115423850","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

Quantifiable Frequency Support from Grid-Forming Converters with DC-side Current Limits in Grids with Synchronous Generators 带同步发电机的电网中具有直流侧限流的成网变流器的可量化频率支持

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683077

Sayan Samanta, N. Chaudhuri, C. Lagoa

引用次数: 1

Estimating Effective Connectivity using Brain Partitioning 利用大脑分区估计有效连通性

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683660

Elvina Gindullina, M. Zorzi, A. Bertoldo, A. Chiuso

引用次数: 1

State Estimation for Spark-Ignition Engines Using New Noise Adaptive Laws In Unscented Kalman Filter 基于无气味卡尔曼滤波的火花点火发动机状态估计

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9682890

Vyoma Singh, Birupaksha Pal, Tushar Jain

引用次数: 0

Bayesian Methods for the Identification of Distribution Networks 配电网识别的贝叶斯方法

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683503

Jean-Sébastien Brouillon, E. Fabbiani, P. Nahata, F. Dörfler, G. Ferrari-Trecate

引用次数: 8

Abstract nonlinear control systems 抽象非线性控制系统

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683615

Shantanu Singh, G. Weiss, M. Tucsnak

引用次数: 1

Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback 基于多点强盗反馈的结构化无投影在线凸优化

2021 60th IEEE Conference on Decision and Control (CDC) Pub Date : 2021-12-14 DOI: 10.1109/CDC45484.2021.9683142

Yuhao Ding, J. Lavaei

{"title":"Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback","authors":"Yuhao Ding, J. Lavaei","doi":"10.1109/CDC45484.2021.9683142","DOIUrl":"https://doi.org/10.1109/CDC45484.2021.9683142","url":null,"abstract":"We consider structured online convex optimization (OCO) with bandit feedback, where either the loss function is smooth or the constraint set is strongly convex. Projection-free methods are among the most popular and computationally efficient algorithms for solving this problem, mainly due to their ability to handle convex constraints appearing in machine learning for which computing projections is often impractical in high-dimensional settings. Despite the improved regret bound results for the full-information setting where the gradients of the functions are readily available, it remains unclear whether simple projection-free zero-order algorithms become more efficient for structured OCO problems in the case when multiple function values can be sampled at each time instance. In this paper, we develop some simple projection-free algorithms and prove that they indeed achieve the same improved regret bounds as the full-information case under various additional problem structures. This implies that leveraging the structural properties of the problem compensates for the lack of access to the gradients. Experiments on the online matrix completion reveal several attractive advantages of the proposed algorithms, including their simplicity, easy implementation, and effectiveness, as they outperform other competing algorithms.","PeriodicalId":229089,"journal":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125805635","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