A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy dynamic event-triggered control problem is successfully solved. A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process bas...
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Veröffentlicht in: | Science China. Technological sciences 2023-02, Vol.66 (2), p.456-467 |
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creator | Ren, HongRu Ma, Hui Li, HongYi Lu, RenQuan |
description | Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy dynamic event-triggered control problem is successfully solved. A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process based on the backstepping technique. For handling the asymmetric input saturation, an auxiliary system with the same order as the considered system is constructed. Analysis problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic systems. It is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability analysis. Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results. |
doi_str_mv | 10.1007/s11431-022-2126-7 |
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Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.</description><subject>Adaptive control</subject><subject>Closed loops</subject><subject>Communications systems</subject><subject>Continuity (mathematics)</subject><subject>Control systems design</subject><subject>Disturbance observers</subject><subject>Engineering</subject><subject>Feedback control</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy systems</subject><subject>Mathematical analysis</subject><subject>Nonlinear control</subject><subject>Nonlinear systems</subject><subject>Saturation</subject><subject>Stability analysis</subject><issn>1674-7321</issn><issn>1869-1900</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1UEtLAzEQDqJg0f4AbwHP0UySTXaPpfiCghc9eArJblK2brM1SYX-e7Os4Mm5zDB8j5kPoRugd0Cpuk8AggOhjBEGTBJ1hhZQy4ZAQ-l5maUSRHEGl2iZ0o6W4nVDQSzQxwp3fcrHaE1oHR5tcvHbRWxNch3uQ3bD0G9dyLgdQ47jgP0YcRhDyrFvM_HOdda0n9Nq6IMzEadTym6frtGFN0Nyy99-hd4fH97Wz2Tz-vSyXm1Iy4TMBGpTW19ZSjvlp6sq0xkFpjJMssYC0KrhohGy7sB7W8yoEbxMThrJec2v0O2se4jj19GlrHfjMYZiqZlSSpS3BS0omFFtHFOKzutD7PcmnjRQPYWo5xB1CVFPIWpVOGzmpIINWxf_lP8n_QCz_XVM</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Ren, HongRu</creator><creator>Ma, Hui</creator><creator>Li, HongYi</creator><creator>Lu, RenQuan</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20230201</creationdate><title>A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems</title><author>Ren, HongRu ; Ma, Hui ; Li, HongYi ; Lu, RenQuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c246t-18a8bf5b00d7f38905ada71a5a2629b11059349468d1ffbdba0a43ffbe6a63383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adaptive control</topic><topic>Closed loops</topic><topic>Communications systems</topic><topic>Continuity (mathematics)</topic><topic>Control systems design</topic><topic>Disturbance observers</topic><topic>Engineering</topic><topic>Feedback control</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Fuzzy systems</topic><topic>Mathematical analysis</topic><topic>Nonlinear control</topic><topic>Nonlinear systems</topic><topic>Saturation</topic><topic>Stability analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ren, HongRu</creatorcontrib><creatorcontrib>Ma, Hui</creatorcontrib><creatorcontrib>Li, HongYi</creatorcontrib><creatorcontrib>Lu, RenQuan</creatorcontrib><collection>CrossRef</collection><jtitle>Science China. 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A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process based on the backstepping technique. For handling the asymmetric input saturation, an auxiliary system with the same order as the considered system is constructed. Analysis problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic systems. It is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability analysis. Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11431-022-2126-7</doi><tpages>12</tpages></addata></record> |
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subjects | Adaptive control Closed loops Communications systems Continuity (mathematics) Control systems design Disturbance observers Engineering Feedback control Fuzzy control Fuzzy logic Fuzzy systems Mathematical analysis Nonlinear control Nonlinear systems Saturation Stability analysis |
title | A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems |
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