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Control systems of variable structure
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Dissertation
Fuzzy control and its application to a pH process
TL;DR: The results showed not only that the tunable fuzzy controller could be easily adjusted to provided a wide range of operating characteristics, but also that the fuzzy controller was much better at controlling the highly non-linear pH process, than a conventional digital PI controller.
Proceedings ArticleDOI
Sliding mode control for time-delay system using a virtual state
TL;DR: A sliding mode control design method for single input linear systems with uncertainties and time delay in the state and a controller that combines SMC with LQR controller is presented.
Proceedings ArticleDOI
A novel training method based on variable structure systems theory for fuzzy neural networks
TL;DR: A sliding mode control theory-based learning algorithm is proposed to train the fuzzy neural networks in a feedback-error-learning structure, tuned by the proposed algorithm not to minimize the error function but to ensure that the error satisfies a stable equation.
Proceedings ArticleDOI
A hybrid strategy for the control of Rotary Inverted Pendulum
TL;DR: In this paper, a new control scheme is proposed for the control of the Rotary Inverted Pendulum (RIP) system using a hybrid control structure of sliding mode controllers and fuzzy logic controllers.
Proceedings ArticleDOI
Output feedback adaptive variable structure control systems: the state of the art
TL;DR: This paper addresses the problem of designing adaptive output feedback variable structure control systems for uncertain plants by giving a state-of-the-art overview of this quite recent and potentially important technique.