Adaptive Fixed‐Time Tracking Control for Switched Nonlinear Systems Subject to Multiple Input Constraints
In this paper, the issue of the adaptive fixed‐time control (FTC) is considered for switched nonlinear systems (SNSs) subject to multiple input constraints. The control input is simultaneously affected by the dead‐zone, saturation, and hysteresis, which is considered for the first time and the exact...
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| Published in | International journal of robust and nonlinear control |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
04.08.2025
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| Abstract | In this paper, the issue of the adaptive fixed‐time control (FTC) is considered for switched nonlinear systems (SNSs) subject to multiple input constraints. The control input is simultaneously affected by the dead‐zone, saturation, and hysteresis, which is considered for the first time and the exact mathematical model is first given. Under the aid of backstepping technology and adaptive control, an adaptive FTC design strategy is produced. Introducing the common Lyapunov function (CLF), the designed control method makes certain that the state variables are bounded and the output variable tracks the reference signal in a known time where the initial variables of the systems have no influence on the setting time. Eventually, a simulation example shows the availability of the designed policy. |
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| AbstractList | In this paper, the issue of the adaptive fixed‐time control (FTC) is considered for switched nonlinear systems (SNSs) subject to multiple input constraints. The control input is simultaneously affected by the dead‐zone, saturation, and hysteresis, which is considered for the first time and the exact mathematical model is first given. Under the aid of backstepping technology and adaptive control, an adaptive FTC design strategy is produced. Introducing the common Lyapunov function (CLF), the designed control method makes certain that the state variables are bounded and the output variable tracks the reference signal in a known time where the initial variables of the systems have no influence on the setting time. Eventually, a simulation example shows the availability of the designed policy. |
| Author | Wang, Huanqing Li, Tieshan Zhang, Huaguang Liu, Siwen |
| Author_xml | – sequence: 1 givenname: Huanqing surname: Wang fullname: Wang, Huanqing organization: The School of Mathematical Sciences Bohai University Jinzhou China – sequence: 2 givenname: Siwen orcidid: 0000-0003-3559-9992 surname: Liu fullname: Liu, Siwen organization: The School of Mathematical Sciences Bohai University Jinzhou China – sequence: 3 givenname: Huaguang orcidid: 0000-0002-2375-9824 surname: Zhang fullname: Zhang, Huaguang organization: The School of Information Science and Engineering Northeastern University Shenyang China – sequence: 4 givenname: Tieshan orcidid: 0000-0003-0474-953X surname: Li fullname: Li, Tieshan organization: The School of Automation Engineering University of Electronic Science and Technology of China Chengdu China |
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