{"title":"输入饱和分数阶非线性约束系统的命令滤波自适应有限时间控制","authors":"Lu Chen, Fa Chen, Jian-an Fang","doi":"10.1002/asjc.3505","DOIUrl":null,"url":null,"abstract":"<p>In this article, the command filter-based finite-time tracking control issue is explored for fractional-order nonlinear constrained systems (FONCSs) with saturated input. Firstly, a novel fractional-order Lyapunov stability lemma is put forward, thereby offering a reliable strategy for finite-time convergence of FONCSs. By employing an improved error compensation system and introducing auxiliary signal, a new finite-time command filtered backstepping technique is developed. The proposed control strategy guarantees the finite-time convergence characteristic of filtering signals, in addition to alleviate the impacts produced by saturated input. After that, a modified nonlinear state-dependent function (NSDF) is developed to solve the state constraint problem while fulfilling the concavity condition. In comparison to the existing constrained control techniques in FONCSs, this approach not only ensures finite-time convergence of the tracking error but also gets rid of feasibility demands. Ultimately, two simulation scenarios are supplied to illustrate the feasibility and usefulness of the suggested strategy.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 3","pages":"1294-1309"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Command filter-based adaptive finite-time control of fractional-order nonlinear constrained systems with input saturation\",\"authors\":\"Lu Chen, Fa Chen, Jian-an Fang\",\"doi\":\"10.1002/asjc.3505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this article, the command filter-based finite-time tracking control issue is explored for fractional-order nonlinear constrained systems (FONCSs) with saturated input. Firstly, a novel fractional-order Lyapunov stability lemma is put forward, thereby offering a reliable strategy for finite-time convergence of FONCSs. By employing an improved error compensation system and introducing auxiliary signal, a new finite-time command filtered backstepping technique is developed. The proposed control strategy guarantees the finite-time convergence characteristic of filtering signals, in addition to alleviate the impacts produced by saturated input. After that, a modified nonlinear state-dependent function (NSDF) is developed to solve the state constraint problem while fulfilling the concavity condition. In comparison to the existing constrained control techniques in FONCSs, this approach not only ensures finite-time convergence of the tracking error but also gets rid of feasibility demands. Ultimately, two simulation scenarios are supplied to illustrate the feasibility and usefulness of the suggested strategy.</p>\",\"PeriodicalId\":55453,\"journal\":{\"name\":\"Asian Journal of Control\",\"volume\":\"27 3\",\"pages\":\"1294-1309\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/asjc.3505\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asjc.3505","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Command filter-based adaptive finite-time control of fractional-order nonlinear constrained systems with input saturation
In this article, the command filter-based finite-time tracking control issue is explored for fractional-order nonlinear constrained systems (FONCSs) with saturated input. Firstly, a novel fractional-order Lyapunov stability lemma is put forward, thereby offering a reliable strategy for finite-time convergence of FONCSs. By employing an improved error compensation system and introducing auxiliary signal, a new finite-time command filtered backstepping technique is developed. The proposed control strategy guarantees the finite-time convergence characteristic of filtering signals, in addition to alleviate the impacts produced by saturated input. After that, a modified nonlinear state-dependent function (NSDF) is developed to solve the state constraint problem while fulfilling the concavity condition. In comparison to the existing constrained control techniques in FONCSs, this approach not only ensures finite-time convergence of the tracking error but also gets rid of feasibility demands. Ultimately, two simulation scenarios are supplied to illustrate the feasibility and usefulness of the suggested strategy.
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.