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The objectives of this paper are to identify the Hammerstein system adaptively based on Quantum Delta-potential-well-based Particle Swarm Optimization(QDPSO). First, the Hammerstein output-error system is shown in briefly. Second, according to the article Swarm Optimization(PSO), an improved QDPSO algorithm is presented. Third, training samples for intermediate linear model are obtained by operating...
Kernels are employed in support vector machines (SVM) to map the nonlinear model into a higher dimensional feature space where the linear learning is adopted. Every kernel has its advantages and disadvantages. Preferably, the dasiagoodpsila characteristics of two or more kernels should be combined. In this paper, the mathematical formulation of multiple kernel learning is given. To enhance the robust...
According to the unknown control direction strict feedback nonlinear systems, this paper introduced a design process for time-varying nonlinear adaptive controller by introducing the Nussbaum increasing and the dead area revision algorithm. Its stability is proved and analyzed, and its simulation is designed with the LMI MATLAB toolbox, the result shows that the controller has a good performance.
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