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An adaptive fuzzy control strategy for hydro-turbine governor is presented in this paper. Considering the complex dynamic characteristic and uncertainty of the hydro-turbine governor model and taking the static and dynamic performance of the governing system as the ultimate goal, the novel controller combined the classical PID control theory with adaptive fuzzy control theory is designed. The presented...
An adaptive neural network controller is developed to achieve output-tracking of a class of nonlinear systems. The global L2 stability of the closed-loop system is established. The proposed control design overcomes the limitation of the conventional adaptive neural control design where the modeling error brought by neural networks is assumed to be bounded over a compact set. Moreover, the generalized...
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