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The problem involves a sliding mode controller used for the course navigation of an autonomous underwater vehicle (AUV).
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This article presents the design of a sliding mode controller using sliding mode observation technique which aims to simplify the control procedure.
This paper presents a new optimal sliding mode controller using the scalar sign function method.
This Paper shows the synthesis of Sliding Mode Controller using model predictive structure of the process.
The principle of the proposed FTC scheme is to design an integral-type sliding mode attitude controller using on-line parameter adaptive updating law to compensate for the effects of stuck actuators.
The used MPPT algorithm is the hill climbing or perturbation observation (P&O) and a new Sliding Mode Controller is used to regulate the desired inverter voltage according to the MPPT algorithm.
The grey sliding mode controller is used to reject the uncertain bounded disturbances and parameter variations.
To benchmark the new controller performance, a sliding mode controller is used for guidance and comparison purpose.
In the final step general sliding mode controller is used for eliminating the matched uncertainty of the process.
Then, a sliding mode controller was used to validate finite time convergence of the state vector to the manifold which guaranteed the stability and performances of the overall system.
To increase the speed of convergence of the system states to the equilibrium points or to decay state errors to zero, the fast terminal sliding mode controller is used.
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