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Two approaches are considered and compared: the sliding mode technique and the fuzzy logic modelling.
It is based on the combination of the sliding mode technique and the output feedback strategy.
The controller are designed using the sliding mode technique and shown, through a formal analysis, to meet his objectives.
To ensure such a stability, the control is designed based on the sliding mode technique, and applied to account stochastic systems.
The last three controllers are based on the second order sliding mode technique, and they ensure robustness with respect to modeling errors even under external disturbances while reducing the chattering phenomenon in comparison with first order sliding mode controllers.
The linear stability is based on normal mode technique and for nonlinear analysis, a minimal representation of the truncated Fourier series analysis involving only two terms has been used.
Similar(54)
For depth estimation, we use a matched-mode technique, and for distance estimation our approach is based on mode phase analysis.
With the use of the terminal sliding mode technique, the faster and high-precision synchronization performances between the master and the slave are achieved.
Another well-known sub-1 V BGR circuit using current mode technique is also fabricated and compared.
Based on the solutions, fuzzy sliding mode technique, lumped disturbance observer and Lyapunov stability analysis, a closed-loop adaptive control law is formulated.
The two mathematical techniques are a shifting technique and an orthogonal pure mode technique.
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