Event-triggered model-free adaptive control for nonlinear systems with output saturation
Dong Liu
Navigation College, Dalian Maritime University, Dalian, China
College of Automation, Shenyang Aerospace University, Shenyang, China
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
Search for more papers by this authorCorresponding Author
Ning Liu
College of Automation, Shenyang Aerospace University, Shenyang, China
Correspondence Ning Liu, College of Automation, Shenyang Aerospace University, Shenyang 110136, China.
Email: [email protected]
Search for more papers by this authorTieshan Li
Navigation College, Dalian Maritime University, Dalian, China
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
Search for more papers by this authorDong Liu
Navigation College, Dalian Maritime University, Dalian, China
College of Automation, Shenyang Aerospace University, Shenyang, China
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
Search for more papers by this authorCorresponding Author
Ning Liu
College of Automation, Shenyang Aerospace University, Shenyang, China
Correspondence Ning Liu, College of Automation, Shenyang Aerospace University, Shenyang 110136, China.
Email: [email protected]
Search for more papers by this authorTieshan Li
Navigation College, Dalian Maritime University, Dalian, China
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
Search for more papers by this authorAbstract
In this article, an original event-triggered model-free adaptive control is presented for nonlinear systems with output constraints. Firstly, a compact form dynamic linear model for this nonlinear system is established. Based on the output saturated data, the pseudo partial derivative (PPD) parameter is designed to identify the linear model. Then, a novel event-triggered mechanism is inserted into the controller. The mechanism will be activated only if the event-triggered error satisfies the predefined condition; Otherwise, it keeps the last triggering state. The purpose is to alleviate the transmission burden and save the communication resources. Varying from the existing studies, the main innovation of this article is that the controller is reconstructed in virtue of saturated data and event-triggered condition. The present algorithm convergence is proved. Finally, the simulation study illustrates the feasibility of the plan.
CONFLICT OF INTEREST STATEMENT
The authors declare that they have no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
All data generated or analyzed during this study are included in this published article.
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