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Taking the advantages of fast convergence, high ability of global optimization in artificial fish-swarm optimization algorithm, this paper optimizes the background sequence, time sequence error and the combination of them in grey model GM (1, 1). Practical examples for GDP prediction are given and the simulation results indicate that the improved model gives better prediction precision and may have...
On the basis of the characteristic and requirement of the continued hyperthermic celiac perfusion (CHCP) temperature process. A model is set up, the generalized predictive self-tuning control (GPSC) algorithm is used to control the whole system to get high accuracy. The parameters identification and the design of generalized predictive self-tuning controller have been realized. Experimental result...
According to the noise in the nonlinear systems and shortage of chaotic prediction method at present, this paper presents a local linear adaptive prediction algorithm based on the kernel function of wavelet decomposition. This method using wavelet transformation has a unique multi-scale analysis capability, decomposed the singular into low frequency part and high frequency part, thereby it can reduce...
In this paper we discuss performance results of a novel real-time closed-loop power amplifier (PA) linearization technique that has originally been proposed by Ahmed and Li. The novel approach performs on-the-fly prediction and measurement of the PA AM/AM and AM/PM non-linearity, stores such non-linear characteristics and calculates their inverse functions in order to pre-distort the base-band amplitude...
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