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To examine the feasibilities of the proposed development environment, a model-based air-to-fuel ratio controller based on a sliding mode control scheme is implemented as a practical example.
A spacecraft formation flying controller is designed using a sliding mode control scheme with the adaptive gain and neural networks.
Based on the variable structure control (VSC) theory, the sliding mode control scheme is used to design a chaos suppression controller in this study.
By defining a new generalized error transformation as a complement to the conventional sliding variable, we derived a novel stable sliding mode control scheme on which the design of a new two-input, one-output fuzzy sliding mode controller is based.
For ensuring robustness of the optimal controller in the presence of parametric uncertainty and external disturbances, a sliding mode control scheme is realized by combining an integral and a terminal sliding surface.
This work deals with a sliding mode control scheme for discrete time nonlinear systems.
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A switching surface is introduced and based on this switching surface, two adaptive sliding mode control schemes are presented to guarantee the occurrence of the sliding motion.
Adaptive and sliding mode control schemes have been employed to solve some of these problems under certain model-based conditions and limitations.
This paper proposes a chattering-free full-order terminal-sliding-mode control scheme.
The proposed control strategy is based on a neural network structure combined with sliding-mode control scheme.
A discrete-time hierarchical sliding-mode control scheme for a dual-stage tracking control system with bounded parameter variation and external disturbance is proposed in this study.
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