IFAC Journal of Systems and Control最新文献_第3页

A bilevel optimization approach for Balancing Markets with electric vehicle aggregators and smart charging 电动汽车集成商与智能充电市场平衡的双层优化方法

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2025-01-30 DOI: 10.1016/j.ifacsc.2025.100296

Daniel Fernández Valderrama, Giulio Ferro, Luca Parodi, Michela Robba

{"title":"A bilevel optimization approach for Balancing Markets with electric vehicle aggregators and smart charging","authors":"Daniel Fernández Valderrama, Giulio Ferro, Luca Parodi, Michela Robba","doi":"10.1016/j.ifacsc.2025.100296","DOIUrl":"10.1016/j.ifacsc.2025.100296","url":null,"abstract":"<div><div>Demand Response (DR) programs can help alleviate the management of the electrical distribution grid by reducing loads in specified areas. They can be enabled within the energy Balancing Market (BM). Aggregators can manage different customers providing flexibility. Recently, Electric Vehicles Aggregators (EVAs) have emerged as significant players in the BM because they can manage fleets of electric vehicles (EVs) in the distribution grid. This paper addresses a multi-objective optimization problem for a distribution power grid that includes EVs and smart charging parks. At the higher level, the Distribution System Operator (DSO) considers the characteristics of each BM actor to minimize costs. Meanwhile, EVAs focus on controlling EV charging at the lower level to maximize their profit. The optimization problems of EVAs and other actors are replaced by KKT (Karush–Kuhn–Tucker) conditions, which are embedded as constraints in the DSO decision problem. Moreover, the resulting bilinear terms (in the optimization problem constraints) are linearized to fasten the finding of an optimal solution. The overall optimization problem is a mixed-integer quadratic programming (MIQP) and has been applied to the IEEE 13-bus test benchmark. The results demonstrate a reduction of about 6% of power loss in the grid achieved by the developed model. Besides, the linearized model can afford a more discretized model due to the reduction of computational effort.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"31 ","pages":"Article 100296"},"PeriodicalIF":1.8,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143270857","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

New approach of series-PID controller design based on modern control theory: Simulations and real-time validation 基于现代控制理论的串联pid控制器设计新方法：仿真与实时验证

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2025-01-25 DOI: 10.1016/j.ifacsc.2025.100295

Vivek Kumar, Yogesh V. Hote

{"title":"New approach of series-PID controller design based on modern control theory: Simulations and real-time validation","authors":"Vivek Kumar, Yogesh V. Hote","doi":"10.1016/j.ifacsc.2025.100295","DOIUrl":"10.1016/j.ifacsc.2025.100295","url":null,"abstract":"<div><div>This paper proposed a novel approach to designing the series-proportional–integral derivative (series-PID) controller, which provides desired performance specifications. In this approach, the design of the series-PID controller is carried out by modern control theory, which is based on the Butterworth pattern of pole placement, and classical control theory, which is based on Krishnamurthi’s corollary on the Routh criterion. The uniqueness of the proposed approach in comparison with existing methods is that it comprises both classical and modern control theory for improving performance and robustness trade-off. The validation of the proposed control theory is carried out using numerical examples (Linear & Non-linear models). The results show that the performance is improved compared to the existing results. The main aim of the paper is that the proposed theory should be industrial-friendly. In view of this, the proposed theory is validated on the D.C. servo motor and power system problem of load frequency control. For these practical problems, comparisons are carried out with well-known control approaches, such as the internal model control approach proposed by various authors. Finally, the proposed approach has been implemented and validated on the hardware setup of the DC–DC buck converter (<span><math><mrow><mi>D</mi><mi>D</mi><mi>B</mi><msub><mrow><mi>C</mi></mrow><mrow><mi>c</mi></mrow></msub></mrow></math></span>). In numerical examples and practical problems, the efficacy of the proposed approach has been checked by robustness analysis and fragility analysis. Further, it has also been checked by determining various performance indices such as Integral Square Error (ISE), Integral Absolute Error (IAE), and Total Variations (TV).</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"31 ","pages":"Article 100295"},"PeriodicalIF":1.8,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141323","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

A Control-Equivalent-Turbulence-Input estimation method for unmanned helicopters 无人直升机控制等效湍流输入估计方法

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2025-01-04 DOI: 10.1016/j.ifacsc.2024.100293

Sergey Nazarov, Per-Olof Gutman

引用次数: 0

CHoKI-based MPC for blood glucose regulation in Artificial Pancreas 基于choki的MPC在人工胰腺血糖调节中的应用

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2025-01-01 DOI: 10.1016/j.ifacsc.2024.100294

Beatrice Sonzogni , José María Manzano , Marco Polver , Fabio Previdi , Antonio Ferramosca

{"title":"CHoKI-based MPC for blood glucose regulation in Artificial Pancreas","authors":"Beatrice Sonzogni , José María Manzano , Marco Polver , Fabio Previdi , Antonio Ferramosca","doi":"10.1016/j.ifacsc.2024.100294","DOIUrl":"10.1016/j.ifacsc.2024.100294","url":null,"abstract":"<div><div>This work presents a Model Predictive Control (MPC) for the artificial pancreas, which is able to autonomously manage basal insulin injections in type 1 diabetic patients. Specifically, the MPC goal is to maintain the patients’ blood glucose level inside the safe range of 70-180 mg/dL, acting on the insulin amount and respecting all the imposed constraints, taking into consideration also the Insulin On Board (IOB), to avoid excess of insulin infusion. MPC uses a model to make predictions of the system behavior. In this work, due to the complexity of the diabetes disease that complicates the identification of a general physiological model, a data-driven learning method is employed instead. The Componentwise Hölder Kinky Inference (CHoKI) method is adopted, to have a customized controller for each patient. For the data collection phase and also to test the proposed controller, the virtual patients of the FDA-accepted UVA/Padova simulator are exploited. The MPC is also tested on simulations with variability of the insulin sensitivity and with physical activity sessions. The final results are satisfying since the proposed controller is conservative and reduces the time in hypoglycemia (which is more dangerous) if compared to the outcomes obtained without the IOB constraints.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"31 ","pages":"Article 100294"},"PeriodicalIF":1.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive chaos control: A novel continuous-time approach for enhanced stability 自适应混沌控制：一种新的增强稳定性的连续时间方法

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2024-12-10 DOI: 10.1016/j.ifacsc.2024.100292

Muhammad Shafiq , Israr Ahmad

{"title":"Adaptive chaos control: A novel continuous-time approach for enhanced stability","authors":"Muhammad Shafiq , Israr Ahmad","doi":"10.1016/j.ifacsc.2024.100292","DOIUrl":"10.1016/j.ifacsc.2024.100292","url":null,"abstract":"<div><div>Stabilizing chaotic systems with robustness, speed, and smoothness remains a significant challenge due to issues like chattering and slow convergence associated with traditional control methods. This paper proposes a novel continuous-time adaptive robust control (CTARC) scheme to overcome these limitations and enhance the stabilization of uncertain chaotic systems. CTARC employs smooth control functions; specifically hyperbolic secant and inverse hyperbolic sine functions to eliminate chattering and achieve faster, more precise convergence to equilibrium. Unlike conventional controllers that simplify system dynamics by removing nonlinearities, this approach preserves them, thereby improving robustness against time-varying disturbances and model uncertainties. A Lyapunov-based stability analysis rigorously establishes the asymptotic stability of the proposed control strategy. Numerical simulations on the Shimizu–Morioka chaotic system and a memristor-based hyperchaotic system validate CTARC’s superiority in convergence speed, energy efficiency, and stability compared to existing adaptive methods. By reducing transient effects like overshoots and oscillations, the proposed scheme ensures smoother transitions and minimizes energy consumption, addressing critical limitations of traditional methods. These results highlight CTARC’s potential as a robust and energy-efficient solution for chaos stabilization and provide a foundation for future developments in complex system control.</div></div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"31 ","pages":"Article 100292"},"PeriodicalIF":1.8,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141459","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

On the turnpike to design of deep neural networks: Explicit depth bounds 通往深度神经网络设计之路显式深度边界

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2024-11-02 DOI: 10.1016/j.ifacsc.2024.100290

Timm Faulwasser , Arne-Jens Hempel , Stefan Streif

引用次数: 0

Finite-time event-triggered tracking control for quadcopter attitude systems with zero compensation technology 采用零补偿技术的四旋翼飞行器姿态系统的有限时间事件触发跟踪控制

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2024-11-02 DOI: 10.1016/j.ifacsc.2024.100289

Lian Chen , Cui Cai , Xijun Liu , Chen Wang

引用次数: 0

Analysis of Hyers–Ulam stability and controllability of non-linear switched impulsive systems with delays on time scales 具有时间尺度延迟的非线性开关脉冲系统的海尔-乌兰稳定性和可控性分析

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2024-10-30 DOI: 10.1016/j.ifacsc.2024.100291

Bhim Kumar, Muslim Malik

引用次数: 0

Efficiency criteria and dual techniques for some nonconvex multiple cost minimization models 一些非凸多重成本最小化模型的效率标准和对偶技术

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2024-10-30 DOI: 10.1016/j.ifacsc.2024.100288

Savin Treanţă , Ramona-Manuela Calianu

引用次数: 0

Design of fixed-time sliding mode control using variable exponents 使用可变指数设计固定时间滑动模式控制

IF 1.8

IFAC Journal of Systems and Control Pub Date : 2024-10-17 DOI: 10.1016/j.ifacsc.2024.100287

Krishanu Nath, Neetish Patel, Indra Narayan Kar, Janardhanan Sivaramakrishnan

引用次数: 0