IFAC Journal of Systems and Control最新文献_第10页

On convergence of nonlinear tracking differentiator based on finite-time stable system subject to stochastic noise 随机噪声作用下有限时间稳定系统非线性跟踪微分器的收敛性

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2023-03-01 DOI: 10.1016/j.ifacsc.2023.100215

Bao-Zhu Guo , Hao-Lan Peng , Ze-Hao Wu

引用次数: 0

Fleet sizing and charger allocation in electric vehicle sharing systems 电动汽车共享系统中的车队规模和充电器分配

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-12-01 DOI: 10.1016/j.ifacsc.2022.100210

Yuntian Deng , Abhishek Gupta , Ness B. Shroff

引用次数: 3

On optimal gear shifting in city bicycles 论城市自行车的最佳换挡

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-12-01 DOI: 10.1016/j.ifacsc.2022.100211

Dario Savaresi, Federico Dettù, Simone Formentin, Sergio Matteo Savaresi

引用次数: 0

A dynamic model of a skydiver with validation in wind tunnel and free fall 一个经过风洞和自由落体验证的跳伞运动员动力学模型

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-12-01 DOI: 10.1016/j.ifacsc.2022.100207

Anna Clarke , Per-Olof Gutman

引用次数: 2

Minimal-norm state-feedback globally non-overshooting/ undershooting tracking control of multivariable systems 多变量系统的最小范数状态反馈全局无超调/欠调跟踪控制

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-12-01 DOI: 10.1016/j.ifacsc.2022.100212

Abhishek Dhyani, Tushar Jain

{"title":"Minimal-norm state-feedback globally non-overshooting/ undershooting tracking control of multivariable systems","authors":"Abhishek Dhyani, Tushar Jain","doi":"10.1016/j.ifacsc.2022.100212","DOIUrl":"https://doi.org/10.1016/j.ifacsc.2022.100212","url":null,"abstract":"<div>The non-overshooting/undershooting (NOUS) tracking control objective in the output response of the closed-loop system has several practical applications in “positioning” control problems. Recently, a state-feedback gain matrix based on Moore’s eigenstructure assignment technique to achieve the above control objective with a desired convergence rate in the output error from any initial condition is designed, referred to as globally monotonic tracking control, which is a convex optimization problem. From a practical viewpoint, a feedback gain matrix of a minimal norm is often required to install low-cost actuators in the overall closed-loop system. However, there is always a trade-off between the control objectives of achieving a NOUS tracking response with the desired convergence rate and a minimal norm of the feedback gain matrix. Besides, the latter control requirement renders the globally NOUS control optimization problem nonconvex. In this paper, a convex optimization-based iterative algorithm is developed to synthesize a minimal-norm state-feedback globally NOUS tracking controller. An upper bound on the achievable settling time in all output responses for the closed-loop eigenvalues lying in a prespecified region of the complex plane is also provided. The effectiveness of the proposed algorithm is demonstrated through a numerical example, followed by experimental validation on a multitank system.</div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"22 ","pages":"Article 100212"},"PeriodicalIF":1.9,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72268604","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

Exponential bipartite tracking consensus in cooperative-antagonistic nonlinear Multi-Agent Systems with multiple communication time-varying delays 具有多通信时变延迟的合作-对抗非线性多智能体系统的指数二部跟踪一致性

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-12-01 DOI: 10.1016/j.ifacsc.2022.100209

Dario Giuseppe Lui , Alberto Petrillo , Stefania Santini

引用次数: 4

Vertical stabilization of tokamak plasmas via extremum seeking 利用极值搜索实现托卡马克等离子体的垂直稳定

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-09-01 DOI: 10.1016/j.ifacsc.2022.100203

S. Dubbioso , L.E. di Grazia , G. De Tommasi , M. Mattei , A. Mele , A. Pironti

引用次数: 3

Time optimal control of a non-linear surface vehicle subject to disturbances 受扰动的非线性地面车辆的时间最优控制

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-09-01 DOI: 10.1016/j.ifacsc.2022.100195

Ayal Taitler , Ilya Ioslovich , Erez Karpas , Per-Olof Gutman

{"title":"Time optimal control of a non-linear surface vehicle subject to disturbances","authors":"Ayal Taitler , Ilya Ioslovich , Erez Karpas , Per-Olof Gutman","doi":"10.1016/j.ifacsc.2022.100195","DOIUrl":"10.1016/j.ifacsc.2022.100195","url":null,"abstract":"<div>The problem of an autonomous agent moving on a planar surface, such as an aerial drone or a small naval vessel can be treated as navigation between a series of points. While nominally the movement between each pair of points can be treated as a 1D projection of the movement on the vector connecting the two points, in the presence of disturbances, the full problem on the plane must be considered. The time optimal solution is now dependent on the value and direction of the disturbance which in this paper is assumed to be a constant inertial velocity of the medium (wind or current, respectively). We address the minimum time problem of movement on a 2D plane with quadratic drag, under norm state (inertial vessel velocity), and norm control (acceleration) constraints. The structure and properties of the optimal solution are found and analyzed, utilizing the Pontryagin Maximum Principle (PMP) with control and state constraints. Simulations supporting the results are provided and compared with those of the open-source academic optimal control solver Falcon.m.</div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"21 ","pages":"Article 100195"},"PeriodicalIF":1.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127953104","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

H2 and H∞ Control with sector bound optimization for Continuous Time Markov Jump Lur’e Systems 连续时间马尔可夫跳跃Lur系统的H2和H∞扇区界优化控制

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-09-01 DOI: 10.1016/j.ifacsc.2022.100199

L.P.M. da Silva, A.P.C. Gonçalves

引用次数: 0

Adaptive output-feedback control design for maximum power point tracking of uncertain photovoltaic systems 不确定光伏系统最大功率点跟踪的自适应输出反馈控制设计

IF 1.9

IFAC Journal of Systems and Control Pub Date : 2022-09-01 DOI: 10.1016/j.ifacsc.2022.100205

Mohamed Stitou , Abderrahim El Fadili , Fatima Zahra Chaoui , Fouad Giri

{"title":"Adaptive output-feedback control design for maximum power point tracking of uncertain photovoltaic systems","authors":"Mohamed Stitou , Abderrahim El Fadili , Fatima Zahra Chaoui , Fouad Giri","doi":"10.1016/j.ifacsc.2022.100205","DOIUrl":"https://doi.org/10.1016/j.ifacsc.2022.100205","url":null,"abstract":"<div>The problem of maximum power point tracking (MPPT) control of uncertain photovoltaic (PV) systems is addressed in this paper, on the basis of an adaptive Kalman-like observer. The system is composed of a photovoltaic generator (PVG) supplying power to a DC centrifugal pump driven by a DC–DC boost converter. The PVG is connected to the converter by a long PV cable. Indeed, many PV power plant situations require that the PV panels be installed at a great distance from the converter for several reasons including the security and the property of the site and its exposure to good daily solar irradiance. This obviously leads to the difficulty of PVG output current and voltage measurement using ordinary sensors. Such quantities measurement being in fact necessary for MPPT algorithms and controllers design. Furthermore, the specific parameters of the long PV cable used, namely its resistance and inductance, could have a significant effect on the MPPT control efficiency if instead of PVG delivered voltage and current measurements, only those accessible at the converter side of the cable are used in MPPT controllers design. Therefore, this work aims at overcoming the two aforementioned issues by proposing an adaptive output-feedback control-based MPPT for PV systems. An adaptive Kalman-like observer providing online estimates of inaccessible state variables as well as of PV cable unknown parameters is firstly designed. Then, a backstepping control law is synthesized to meet the MPPT objective. The convergence of both adaptive observer and closed-loop system control has been established using Lyapunov approach and the effectiveness of the developed adaptive MPPT controller in achieving an accurate and robust MPPT control towards uncertainties of the PV cable parameters, has been validated through numerical simulations.</div>","PeriodicalId":29926,"journal":{"name":"IFAC Journal of Systems and Control","volume":"21 ","pages":"Article 100205"},"PeriodicalIF":1.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136897178","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