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For the complicated aerodynamics characteristic and severely uncertainty of nonlinear model of a hypersonic vehicle, a novel Model Predictive Controller design methodology based on Linear Parameter-Varying was developed. Firstly, the nonlinear model was transformed into Linear Parameter- Varying form by Jacobian linearization of nonlinear plant about a family of equilibrium points. And then the ploytopic...
Based on the study of traditional Simple adaptive control (SAC), the dissertation combines SAC with intelligence control algorithms, and proposes a new Intelligent SAC. The basic algorithm of SAC is improved, and cerebellar model articulation controller algorithm of neural network is combined with the SAC algorithm, the SAC controller adopts the control algorithm of adaptive method, but the construction...
In order to solve the uncertainty problem of parameter variations and load disturbance which effect on the system performance, a nonlinear decoupling control based on disturbance suppression is presented for the induction motors drive system. The method combine adaptive control with nonlinear decoupling control, and the parameter variations and load disturbance are disturbance input. The state feedback...
In this paper we present an approach for automatic alignment of long audio data with varied acoustic conditions to their corresponding transcripts in an effective manner. Accurate time-aligned transcripts provide easier access to audio materials by aiding applications such as the indexing, summarizing and retrieving of audio segments. Accurate time alignments are also necessary for labeling the training...
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