IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n7466780.html

Adaptive Event‐Triggered Finite‐Time Tracking of Output‐Constrained High‐Order Nonlinear Systems with Time‐Varying Powers

Author

Listed:
  • Fan Liu
  • You Wu

Abstract

This paper studies the adaptive event‐triggered finite‐time tracking of output‐constrained high‐order nonlinear systems with time‐varying powers. Due to the presence of multiple unknown powers and the consideration of event‐triggered control, all the existing control methods of output‐constrained nonlinear systems are inapplicable. By introducing nonlinear mappings, finite‐time performance functions, and low‐power and high‐power terms into adding a power integrator technique and the relative threshold strategy, an adaptive state‐feedback controller is designed to eliminate the effects caused by the output constraint and time‐varying powers. It is proved that all the closed‐loop signals are bounded, the asymmetric time‐varying output constraint is not violated, and the tracking error converges to a prescribed arbitrarily small region around zero in a preassigned finite time. Furthermore, the Zeno phenomenon can be avoided. Two simulation examples demonstrate the effectiveness of this control scheme.

Suggested Citation

  • Fan Liu & You Wu, 2022. "Adaptive Event‐Triggered Finite‐Time Tracking of Output‐Constrained High‐Order Nonlinear Systems with Time‐Varying Powers," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:7466780
    DOI: 10.1155/2022/7466780
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/7466780
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/7466780?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liang Liu & Zhandong Yu & Qi Zhou & Hamid Reza Karimi, 2013. "State-Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time-Delay Systems," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-8, December.
    2. Liang Liu & Zhandong Yu & Qi Zhou & Hamid Reza Karimi, 2013. "State‐Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time‐Delay Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    3. Liu, Ji-Zhen & Yan, Shu & Zeng, De-Liang & Hu, Yong & Lv, You, 2015. "A dynamic model used for controller design of a coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 93(P2), pages 2069-2078.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mingzhu Song & Wenwen Cheng & Quanxin Zhu & Hongwei Zhou & Hui Wang, 2016. "Globally Asymptotic Stability of Stochastic Nonlinear Systems with Time‐Varying Delays via Output Feedback Control," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    2. Wu, Chunying & Sun, Lingfang & Piao, Heng & Yao, Lijia, 2024. "Adaptive fuzzy finite time integral sliding mode control of the coordinated system for 350 MW supercritical once-through boiler unit to enhance flexibility," Energy, Elsevier, vol. 302(C).
    3. Jiabao Gu & Hui Wang & Wuquan Li & Ben Niu, 2022. "Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance," Mathematics, MDPI, vol. 10(16), pages 1-16, August.
    4. Chen Chen & Lei Pan & Shanjian Liu & Li Sun & Kwang Y. Lee, 2018. "A Sustainable Power Plant Control Strategy Based on Fuzzy Extended State Observer and Predictive Control," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    5. Zhang, Hongfu & Gao, Mingming & Fan, Haohao & Zhang, Kaiping & Zhang, Jiahui, 2022. "A dynamic model for supercritical once-through circulating fluidized bed boiler-turbine units," Energy, Elsevier, vol. 241(C).
    6. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    7. Ruitao Wang & Hui Wang & Wuquan Li & Ben Niu, 2022. "Output Tracking Control of Random Nonlinear Time-Varying Systems," Mathematics, MDPI, vol. 10(14), pages 1-13, July.
    8. Omar Mohamed & Ashraf Khalil & Jihong Wang, 2020. "Modeling and Control of Supercritical and Ultra-Supercritical Power Plants: A Review," Energies, MDPI, vol. 13(11), pages 1-23, June.
    9. Mohammad Qasem & Omar Mohamed & Wejdan Abu Elhaija, 2022. "Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    10. Fan, He & Zhang, Yu-fei & Su, Zhi-gang & Wang, Ben, 2017. "A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit," Applied Energy, Elsevier, vol. 189(C), pages 654-666.
    11. Huang, Congzhi & Sheng, Xinxin, 2020. "Data-driven model identification of boiler-turbine coupled process in 1000 MW ultra-supercritical unit by improved bird swarm algorithm," Energy, Elsevier, vol. 205(C).
    12. Zhou, Hong & Chen, Cheng & Lai, Jingang & Lu, Xiaoqing & Deng, Qijun & Gao, Xingran & Lei, Zhongcheng, 2018. "Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 153(C), pages 638-649.
    13. Hübel, Moritz & Meinke, Sebastian & Andrén, Marcus T. & Wedding, Christoffer & Nocke, Jürgen & Gierow, Conrad & Hassel, Egon & Funkquist, Jonas, 2017. "Modelling and simulation of a coal-fired power plant for start-up optimisation," Applied Energy, Elsevier, vol. 208(C), pages 319-331.
    14. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    15. Chen, Xianhao & Shi, Zhuoyue & Zhang, Ziteng & Zhu, Mingjuan & Oko, Eni & Wu, Xiao, 2024. "Dynamic modeling and comprehensive analysis of an ultra-supercritical coal-fired power plant integrated with post-combustion carbon capture system and molten salt heat storage," Energy, Elsevier, vol. 308(C).
    16. Liang Liu & Zhandong Yu & Qi Zhou & Hamid Reza Karimi, 2013. "State‐Feedback Stabilization for a Class of Stochastic Feedforward Nonlinear Time‐Delay Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    17. Ji, Weiming & Hong, Feng & Zhao, Yuzheng & Liang, Lu & Hao, Junhong & Fang, Fang & Liu, Jizhen, 2024. "A real-time phase transition modeling of supercritical steam cycle and load variation rate enhancement of thermal power plants under deep peak shaving," Energy, Elsevier, vol. 312(C).
    18. Huang, Congzhi & Li, Zhuoyong, 2023. "Data-driven modeling of ultra-supercritical unit coordinated control system by improved transformer network," Energy, Elsevier, vol. 266(C).
    19. Wang, Yanhong & Cao, Lihua & Hu, Pengfei & Li, Bo & Li, Yong, 2019. "Model establishment and performance evaluation of a modified regenerative system for a 660 MW supercritical unit running at the IPT-setting mode," Energy, Elsevier, vol. 179(C), pages 890-915.
    20. Zhu, Hengyi & Tan, Peng & He, Ziqian & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2022. "Nonlinear model predictive control of USC boiler-turbine power units in flexible operations via input convex neural network," Energy, Elsevier, vol. 255(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:7466780. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.