Observer-based fuzzy tracking control of nonlinear systems with intermittent output constraints
This paper pays attention to the output tracking control problem of nonlinear systems where the output is uniquely measurable and subject to an intermittent constraint. A multiplicative transformation based on the shifting-replaying function is introduced together with barrier Lyapunov function to s...
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| Published in | Information sciences Vol. 674; p. 120708 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
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01.07.2024
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| Abstract | This paper pays attention to the output tracking control problem of nonlinear systems where the output is uniquely measurable and subject to an intermittent constraint. A multiplicative transformation based on the shifting-replaying function is introduced together with barrier Lyapunov function to solve the intermittent output constraint. A state observer independent of the matching condition of control gains is designed via the non-uniform state transformation to relax the assumption of full-state measurability. By virtue of the estimated states, we propose an output feedback controller that only involves one fuzzy adaptive parameter to restrain the effect of unknown system nonlinearities. Through Lyapunov stability analysis, it is proved that the proposed controller can make all signals in the closed-loop system remain semi-globally uniformly ultimately bounded. Two simulation examples are provided to verify the effectiveness of the proposed method, and also the superiority over the existing ones. |
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| AbstractList | This paper pays attention to the output tracking control problem of nonlinear systems where the output is uniquely measurable and subject to an intermittent constraint. A multiplicative transformation based on the shifting-replaying function is introduced together with barrier Lyapunov function to solve the intermittent output constraint. A state observer independent of the matching condition of control gains is designed via the non-uniform state transformation to relax the assumption of full-state measurability. By virtue of the estimated states, we propose an output feedback controller that only involves one fuzzy adaptive parameter to restrain the effect of unknown system nonlinearities. Through Lyapunov stability analysis, it is proved that the proposed controller can make all signals in the closed-loop system remain semi-globally uniformly ultimately bounded. Two simulation examples are provided to verify the effectiveness of the proposed method, and also the superiority over the existing ones. |
| ArticleNumber | 120708 |
| Author | Guo, Ge Zhang, Chen-Liang |
| Author_xml | – sequence: 1 givenname: Chen-Liang orcidid: 0000-0002-2247-4384 surname: Zhang fullname: Zhang, Chen-Liang email: czhang99@outlook.com organization: College of Information Science and Engineering, Northeastern University, Shenyang 110819, China – sequence: 2 givenname: Ge orcidid: 0000-0003-4752-4920 surname: Guo fullname: Guo, Ge email: geguo@yeah.net organization: State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China |
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| Keywords | Adaptive backstepping control State observer Nonlinear systems Intermittent output constraints Fuzzy logic system |
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| SubjectTerms | Adaptive backstepping control Fuzzy logic system Intermittent output constraints Nonlinear systems State observer |
| Title | Observer-based fuzzy tracking control of nonlinear systems with intermittent output constraints |
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