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A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
by
Ren, HongRu
, Lu, RenQuan
, Ma, Hui
, Li, HongYi
in
Closed loop systems
/ Closed loops
/ Communication
/ Control systems design
/ Control theory
/ Controllers
/ Design
/ Disturbance observers
/ Engineering
/ Event triggered control
/ Feedback control
/ Fuzzy logic
/ Fuzzy systems
/ Neural networks
/ Nonlinear control
/ Nonlinear systems
/ Stability analysis
2023
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A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
by
Ren, HongRu
, Lu, RenQuan
, Ma, Hui
, Li, HongYi
in
Closed loop systems
/ Closed loops
/ Communication
/ Control systems design
/ Control theory
/ Controllers
/ Design
/ Disturbance observers
/ Engineering
/ Event triggered control
/ Feedback control
/ Fuzzy logic
/ Fuzzy systems
/ Neural networks
/ Nonlinear control
/ Nonlinear systems
/ Stability analysis
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
by
Ren, HongRu
, Lu, RenQuan
, Ma, Hui
, Li, HongYi
in
Closed loop systems
/ Closed loops
/ Communication
/ Control systems design
/ Control theory
/ Controllers
/ Design
/ Disturbance observers
/ Engineering
/ Event triggered control
/ Feedback control
/ Fuzzy logic
/ Fuzzy systems
/ Neural networks
/ Nonlinear control
/ Nonlinear systems
/ Stability analysis
2023
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A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
Journal Article
A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
2023
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Overview
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.
Publisher
Science China Press,Springer Nature B.V
Subject
/ Design
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