Optimized sliding mode control for input-output linearized MIMO nonlinear system

2018 ◽  
Author(s):  
M. S. Sunila ◽  
V. Sankaranarayanan
Keyword(s):  
Nonlinear System ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Input Output ◽  
Mode Control ◽  
Mimo Nonlinear System

Adaptive Fractional Order Sliding Mode Control for a Nonlinear System

2021 ◽  
Author(s):  
Esraa Mostafa ◽  
Ahmad M. El-Nagar ◽  
Osama Elshazly ◽  
Mohammad El-Bardini
Keyword(s):  
Nonlinear System ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Sliding Mode ◽  
Mode Control

scholarly journals Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Ruiguo Liu ◽  
Xuehui Gao
Keyword(s):  
Neural Network ◽  
Nonlinear System ◽  
Sliding Mode Control ◽  
Controller Design ◽  
Sliding Mode ◽  
Control Strategies ◽  
Tracking Error ◽  
Mode Control ◽  
Hysteresis Nonlinearity ◽  
System States

A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.

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