scholarly journals Boundary sliding mode control of a system of linear hyperbolic equations: A Lyapunov approach

Automatica ◽  
2022 ◽  
Vol 135 ◽  
pp. 109964
Author(s):  
Thibault Liard ◽  
Ismaïla Balogoun ◽  
Swann Marx ◽  
Franck Plestan
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Hyperbolic Equations ◽  
Lyapunov Approach ◽  
Mode Control ◽  
Boundary Sliding ◽  
Linear Hyperbolic Equations

Hybrid-Impulsive Second Order Sliding Mode Control: Lyapunov Approach

2013 ◽  
Vol 46 (2) ◽  
pp. 397-402 ◽  
Author(s):  
Yuri Shtessel ◽  
Alain Glumineau ◽  
Franck Plestan ◽  
Martin Weiss
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Second Order ◽  
Lyapunov Approach ◽  
Mode Control ◽  
Second Order Sliding Mode

Hybrid-impulsive second-order sliding mode control: Lyapunov approach

2016 ◽  
Vol 27 (7) ◽  
pp. 1064-1093 ◽  
Author(s):  
Yuri Shtessel ◽  
Alain Glumineau ◽  
Franck Plestan ◽  
Fathi M. Aldukali
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Second Order ◽  
Lyapunov Approach ◽  
Mode Control ◽  
Second Order Sliding Mode

scholarly journals Minimal-Learning-Parameter Technique Based Adaptive Neural Sliding Mode Control of MEMS Gyroscope

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Bin Xu ◽  
Pengchao Zhang
Keyword(s):  
Sliding Mode Control ◽  
Closed Loop ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Time Varying ◽  
Lyapunov Approach ◽  
Mode Control ◽  
Minimal Learning Parameter ◽  
Mems Gyroscopes ◽  
Learning Parameter

This paper investigates an adaptive neural sliding mode controller for MEMS gyroscopes with minimal-learning-parameter technique. Considering the system uncertainty in dynamics, neural network is employed for approximation. Minimal-learning-parameter technique is constructed to decrease the number of update parameters, and in this way the computation burden is greatly reduced. Sliding mode control is designed to cancel the effect of time-varying disturbance. The closed-loop stability analysis is established via Lyapunov approach. Simulation results are presented to demonstrate the effectiveness of the method.

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