Le Zhao, Guanci Yang, Yang Li, Kexin Luo, Junxing Zhang, Ling He
{"title":"基于离散自然对数势垒函数的MEMS谐振器规定性能反步控制","authors":"Le Zhao, Guanci Yang, Yang Li, Kexin Luo, Junxing Zhang, Ling He","doi":"10.1016/j.cnsns.2025.108910","DOIUrl":null,"url":null,"abstract":"<div><div>The prescribed performance control is able to optimize both the transient and static performance of the controlled object by pre-set performance indicators, thereby ensuring that the output error remains within a predetermined small range despite any interference or uncertainty within the system. Considering this, aiming at the discrete micro-electromechanical system (MEMS) resonator, we design a discrete natural logarithmic barrier function-based prescribed performance backstepping controller. Among them, firstly, the discrete interval type-3 fuzzy logic system (IT3FLS) and discrete tracking differentiator are constructed to approximate the virtual control input and unknown nonlinear function. Secondly, a prescribed performance adaptive fuzzy backstepping controller based on the constructed discrete natural logarithmic barrier function is designed to constrain the output errors of the system, and enhance transient and static performances of the controller. Then, a discrete event-triggered mechanism based on the switch threshold is constructed and integrated into the designed controller to release unnecessary resource occupation and controller computational burden on the premise of ensuring tracking accuracy. Furthermore, through the mean-square stability criterion, we demonstrate that all signals of this system are exponentially mean-square stable, and tracking errors fall within the prescribed constraint region. Finally, simulation and comparative experiment results display that the designed controller performs well in the transient performance, static performance and robustness.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"148 ","pages":"Article 108910"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discrete natural logarithmic barrier function-based prescribed performance backstepping control for MEMS resonator\",\"authors\":\"Le Zhao, Guanci Yang, Yang Li, Kexin Luo, Junxing Zhang, Ling He\",\"doi\":\"10.1016/j.cnsns.2025.108910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The prescribed performance control is able to optimize both the transient and static performance of the controlled object by pre-set performance indicators, thereby ensuring that the output error remains within a predetermined small range despite any interference or uncertainty within the system. Considering this, aiming at the discrete micro-electromechanical system (MEMS) resonator, we design a discrete natural logarithmic barrier function-based prescribed performance backstepping controller. Among them, firstly, the discrete interval type-3 fuzzy logic system (IT3FLS) and discrete tracking differentiator are constructed to approximate the virtual control input and unknown nonlinear function. Secondly, a prescribed performance adaptive fuzzy backstepping controller based on the constructed discrete natural logarithmic barrier function is designed to constrain the output errors of the system, and enhance transient and static performances of the controller. Then, a discrete event-triggered mechanism based on the switch threshold is constructed and integrated into the designed controller to release unnecessary resource occupation and controller computational burden on the premise of ensuring tracking accuracy. Furthermore, through the mean-square stability criterion, we demonstrate that all signals of this system are exponentially mean-square stable, and tracking errors fall within the prescribed constraint region. Finally, simulation and comparative experiment results display that the designed controller performs well in the transient performance, static performance and robustness.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"148 \",\"pages\":\"Article 108910\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Nonlinear Science and Numerical Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1007570425003211\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425003211","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Discrete natural logarithmic barrier function-based prescribed performance backstepping control for MEMS resonator
The prescribed performance control is able to optimize both the transient and static performance of the controlled object by pre-set performance indicators, thereby ensuring that the output error remains within a predetermined small range despite any interference or uncertainty within the system. Considering this, aiming at the discrete micro-electromechanical system (MEMS) resonator, we design a discrete natural logarithmic barrier function-based prescribed performance backstepping controller. Among them, firstly, the discrete interval type-3 fuzzy logic system (IT3FLS) and discrete tracking differentiator are constructed to approximate the virtual control input and unknown nonlinear function. Secondly, a prescribed performance adaptive fuzzy backstepping controller based on the constructed discrete natural logarithmic barrier function is designed to constrain the output errors of the system, and enhance transient and static performances of the controller. Then, a discrete event-triggered mechanism based on the switch threshold is constructed and integrated into the designed controller to release unnecessary resource occupation and controller computational burden on the premise of ensuring tracking accuracy. Furthermore, through the mean-square stability criterion, we demonstrate that all signals of this system are exponentially mean-square stable, and tracking errors fall within the prescribed constraint region. Finally, simulation and comparative experiment results display that the designed controller performs well in the transient performance, static performance and robustness.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.