{"title":"具有状态相关控制约束条件的逻辑动力系统的输出反馈稳定问题","authors":"Chaoqun Dai, Yuqian Guo","doi":"10.1002/asjc.3495","DOIUrl":null,"url":null,"abstract":"Control constraints are common in real‐world applications. However, when the control constraint depends on the system state, designing a stabilizing output feedback that adheres to the constraint can be challenging if the state is unmeasurable. This study proposes a novel dual‐loop structural output feedback for logical dynamical systems (LDSs) with state‐dependent control constraints. The inner‐loop controller is a pre‐output feedback designed based on the state‐dependent constraint, which always selects a common admissible control for all possible states. A system with free control input is obtained by combining the pre‐output feedback with the LDS. The outer‐loop controller, an ordinary output feedback, is then designed for the combined system. It is proven that any admissible time‐invariant output feedback can be decomposed into a pre‐output feedback and an ordinary output feedback. Furthermore, a necessary and sufficient condition for stabilizability by admissible output feedback is obtained. Finally, an example is presented to demonstrate the effectiveness of the obtained results.","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"2 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Output feedback stabilization of logical dynamical systems with state‐dependent control constraints\",\"authors\":\"Chaoqun Dai, Yuqian Guo\",\"doi\":\"10.1002/asjc.3495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Control constraints are common in real‐world applications. However, when the control constraint depends on the system state, designing a stabilizing output feedback that adheres to the constraint can be challenging if the state is unmeasurable. This study proposes a novel dual‐loop structural output feedback for logical dynamical systems (LDSs) with state‐dependent control constraints. The inner‐loop controller is a pre‐output feedback designed based on the state‐dependent constraint, which always selects a common admissible control for all possible states. A system with free control input is obtained by combining the pre‐output feedback with the LDS. The outer‐loop controller, an ordinary output feedback, is then designed for the combined system. It is proven that any admissible time‐invariant output feedback can be decomposed into a pre‐output feedback and an ordinary output feedback. Furthermore, a necessary and sufficient condition for stabilizability by admissible output feedback is obtained. Finally, an example is presented to demonstrate the effectiveness of the obtained results.\",\"PeriodicalId\":55453,\"journal\":{\"name\":\"Asian Journal of Control\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-09-13\",\"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://doi.org/10.1002/asjc.3495\",\"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://doi.org/10.1002/asjc.3495","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}
Output feedback stabilization of logical dynamical systems with state‐dependent control constraints
Control constraints are common in real‐world applications. However, when the control constraint depends on the system state, designing a stabilizing output feedback that adheres to the constraint can be challenging if the state is unmeasurable. This study proposes a novel dual‐loop structural output feedback for logical dynamical systems (LDSs) with state‐dependent control constraints. The inner‐loop controller is a pre‐output feedback designed based on the state‐dependent constraint, which always selects a common admissible control for all possible states. A system with free control input is obtained by combining the pre‐output feedback with the LDS. The outer‐loop controller, an ordinary output feedback, is then designed for the combined system. It is proven that any admissible time‐invariant output feedback can be decomposed into a pre‐output feedback and an ordinary output feedback. Furthermore, a necessary and sufficient condition for stabilizability by admissible output feedback is obtained. Finally, an example is presented to demonstrate the effectiveness of the obtained results.
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.