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Two mechanisms of cooperative PSO (CPSO) were analyzed, and the load-balance requirement of equipotent CPSO mechanism was discussed. Then the CPSO load-balance architecture was set up, control parameters were chosen, and the criterion of PSO convergence degree was established. Finally, the control strategy for CPSO' load-balance was proposed. Two tests show that the proposed technique improved the...
To solve time-delay of different-pressure casting's control system, Dalin algorithm and Smith prediction algorithm are separately used to design time-delay compensation controller of different-pressure casting computer control system. And with the two controller MATLAB simulation of different-pressure casting control object is carried on. The simulation results show that Dalin algorithm and Smith...
This paper presents a method to determine the admissible set of controller parameters when the H-infinite norm of the mixed sensitivity is taken as the objective function for the PID controller design. First the mixed sensitivity requirement can be translated into the stabilization problem of a family of complex polynomials as well as the close-loop characteristic polynomial. Then by stabilizing these...
The aggregation of the topological neighbouring polygons developes well. There are some good algorithms, but the most are based on the topological spatial data model, it requests data build integrated topological relations. When the data is modified, we should vindicate the data's consistency, and it will cost so much time to rebuild the topological relations and even sometimes maybe failed. This...
The technique of Independent component analysis can be applied in image processing, communication processing, data mining and many others. By research on score function of informax algorithm and the performance of Ext-informax algorithm while the sources include impulse signals and Gaussian signals. The results show these algorithms are not stably in these instances. A new score function according...
The paper is talked about a 3-phase 4-leg style of supply system. The part of converter is a power-factor variable and can be decreased the pollution of power net. While the converter can be adapted to the input line voltage's fluctuation. The bus DC voltage is very stable. The inverter is adopted to four-legged in order to suit unbalanced load. The inverter brings to a simple and effective control...
In this paper, the LLE (locally linear embedding) non-linear dimensionality reduction method is presented to extract the face feature, and the feature coefficients of each sample are trained in the RBF (radial basis function) neural networks for face recognition. The LLE non-linear dimensionality reduction method can not only reduce the data dimension and the computational complexity, but also retain...
The basic principles and optimization strategy of Gene Handling Genetic Algorithms (GHGA) was introduced in this paper. The mathematical model of optimum design of permanent magnet synchronous motor was established, and GHGA was applied to the optimum design of the NdFeB PMSM prototype, some corresponding curves about fitness changing with the generation were deduced. As optimal results, the cost...
An algorithm based on compressive sensing (CS) is proposed for synthetic aperture radar (SAR) imaging of moving targets. The received echo is decomposed into the sum of many basis sub-signals that are generated by discretizing the target spatial domain and velocity domain and synthesizing the SAR received data for every discretized spatial position and velocity candidate. In this way, the SAR imaging...
The codebook design of vector quantization (VQ) based on a training set is computationally very expensive due to a lot of distance computations in the process of its clustering. In order to speed up the process of VQ codebook design, a fast algorithm is proposed in this paper. The proposed algorithm puts the training vectors into an orderly whole according to the characteristic values of training...
The coupling relations of all variables during fermentation process with fermentation are discussed. Since the parameters are always changing as time-varying, nonlinearity and randomicity during biology fermentation control process. the scheme for biology fermentation control process using feed forward decoupling intelligent algorithm for multivariable based on FNN is presented. Fuzzy-Neural controller...
In order to improve the stability of localization results and particle convergence, four of the particle filter resampling algorithms for indoor service robot localization are described in this paper. They are Multinomial Resampling, Residual Resampling, Stratified Resampling and Systematic Resampling. The simulation and comparison is also presented. Regarding the ranging accuracy of HHR-0303 service...
Adaptive focusing particle swarm optimization (AFPSO) based on the balance characteristic between global search and local search of particle swarm optimization was an adaptive swarm intelligence optimization algorithm with preferable ability of global search and search rate. AFPSO was proposed to optimize the reactive power optimization. Based on optimal control principle, AFPSO applied for optimal...
Real-time image matching is usually a core operation in many embedded applications. Often in such applications, low implementation costs and short time-to-market are required. Field programmable gates array (FPGA) based reconfigurable hardware implementation, which provides all the benefits of hardware acceleration while retaining the flexibility of programmability, presents an effective approach...
This paper discussed several algorithms of the voice activity detection (VAD) in detail based on the feature coefficients extraction and analysis between voice signal and noise, including short-time energy, short-time average magnitude function (AM), short-time average zero-crossing rate (ZCR), short-time Auto Correlation, short-time average magnitude difference function (AMDF) in time domain, and...
Selective ensemble learning is a learning algorithm, trains a number of based classifier and selects some of them to ensemble. Through the selective ensemble, the algorithm would be more effective than each single one and better than the algorithm that select all the based classifier, and the algorithm would have effective generalization ability. In this paper, we apply a multi-lever selective ensemble...
Two-Threshold Sequential Algorithm Scheme (TTSAS) is a straightforward clustering algorithm, and do not a priori presume a fixed number of clusters. We show how to accelerate it dramatically, while still always computing exactly the same result as the standard algorithm. The accelerated algorithm TI_TTSAS avoids unnecessary distance calculations by applying the triangle inequality. Experiments show...
This paper presents a program, the implementation of 1024-Point FFT algorithm based on FPGA. Considering from the operation speed and implementation complexity, this design adopts the algorithm of radix-2 and decimation in time. And cure the data of twiddle factor in the ROM block. This design uses the finite state machine control reading the data of twiddle factor, as well as coordinate each modules...
Wireless Sensor Network based on clustering robots are designed, clock synchronization principle of wireless network and typical time synchronisation algorithms are researched. The time synchronization algorithm based on send/receive proposed two-way synchronization mechanism and the flooding algorithm improve in combination with TPSN and FTSP algorithm; the key factors affecting the accuracy are...
A global path planning method for complex mobile entity based on geometry algorithm in a strait environment was researched. Aiming at the complex mobile entity, the obstacles and the mobile entity were expressed as different polygons. Based on geometry algorithm, a set of folding linear path candidates were found out firstly. In order to enhance the success rate of path planning, the folding linear...
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