Results 221 to 230 of about 2,410,131 (286)
Integrating Lyapunov based backstepping and neuro fuzzy logic with sliding mode control for precise trajectory tracking of differential drive robots. [PDF]
Sci RepXu P, Maghsoudniazi M, Maghsoudniazi Y.
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Integral terminal sliding mode-based adaptive driving control method of tracked robots. [PDF]
Front Plant SciLi Z, Luo K, Tao L, Zhou Y.
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State and disturbance estimation with supertwisting sliding mode control for frequency regulation in hydrogen based microgrids. [PDF]
Sci RepTaher AM +5 more
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Higher order sliding mode control based on integral sliding mode
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Franck Plestan +2 more
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On the Regularization of Sliding Modes
SIAM Journal on Optimization, 2007Approximability of sliding motions for control systems governed by nonlinear finite-dimensional differential equations is considered. This regularity property is shown to be equivalent to Tikhonov well-posedness of a related minimization problem in the context of relaxed controls. This allows the derivation of a general approximability result, which in
Levaggi, Laura, Villa, Silvia
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IMA Journal of Mathematical Control and Information, 2012
Adaptive sliding-mode strategies of first and second sliding orders are developed for single-input singleoutput systems of the first and second relative degrees, respectively. Since the only concrete known uncertainty bounds are assumed to be the upper bounds of logarithmic derivatives, no standard slidingmode technique can solve the problem.
Bartolini G +4 more
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Adaptive sliding-mode strategies of first and second sliding orders are developed for single-input singleoutput systems of the first and second relative degrees, respectively. Since the only concrete known uncertainty bounds are assumed to be the upper bounds of logarithmic derivatives, no standard slidingmode technique can solve the problem.
Bartolini G +4 more
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Sliding Mode Control With Sliding Perturbation Observer
Journal of Dynamic Systems, Measurement, and Control, 1997This work introduces a new robust motion control algorithm using partial state feedback for a class of nonlinear systems in the presence of modelling uncertainties and external disturbances. The effects of these uncertainties are combined into a single quantity called perturbation. The major contribution of this work comes as the development and design
Moura, Jairo Terra +2 more
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Neural Networks Learning With Sliding Mode Control: The Sliding Mode Backpropagation Algorithm
International Journal of Neural Systems, 1999Based on the classical backpropagation weight update equations, sliding mode control theory is introduced as a technique to adapt weights of a multi-layer perceptron. As will be demonstrated, the introduction of sliding mode has resulted in a much faster version of the standard backpropagation.
Gustavo Guimarães Parma +2 more
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Sliding mode control revisited
Transactions of the Institute of Measurement and Control, 2020Controller design for nonlinear systems in its general form is complicated and an open problem. Finding a solution to this problem becomes more complicated when unwanted terms, such as disturbance, are taken into account. To provide a robust design for a subclass of nonlinear systems, sliding mode controllers (SMCs) are used.
Masoud Bahraini +3 more
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Sliding Empirical Mode Decomposition
The 2010 International Joint Conference on Neural Networks (IJCNN), 2010Biomedical signals are in general non-linear and non-stationary which renders them difficult to analyze with classical time series analysis techniques. Empirical Mode Decomposition (EMD) in conjunction with a Hilbert spectral transform, together called Hilbert-Huang Transform, is ideally suited to extract informative components which are characteristic
Rupert Faltermeier +5 more
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