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In industry process, though facing the difficulty of modeling, the historical accumulated object datum has not been made best use of. In this paper, a novel identification solution based on the improved E.Coli foraging algorithm (IEFOA) was proposed. IEFOA is presented with three main operators, which include a tumbling operator, a swimming operator and a(More)
In this paper, a bayesian inferring inverse model was proposed for nonlinear system. The model directly utilizes the nonlinear system running data and obtains the nonlinear inverse relationship by probability inferring formula. In training of the bayesian inferring inverse model, the evolutionary algorithms and sliding window method are adopted to realize(More)
The particle swarm optimization (PSO) algorithm for parameter optimization of PID controller has been proposed. PSO is an evolutionary algorithm, and comprises of a very simple concept. Instead of using traditional analysis algorithm, the parameters of PID controller such as proportional gain, integral factor, differential coefficient are selected and(More)
This paper adopts an ant colony system (ACS) algorithm to develop the current urban traffic vehicles path routing methods. Aiming at a goal path that both the distance and the time cost are involved into the goal function, the algorithm developed a path routing process based on an inspired heuristics searching that the next times path searching are inducted(More)
A simplified E.Coli foraging optimization algorithm based on the chemotactic behaviour of E.Col is presented in this paper in order to solve the parameter estimation of nonlinear system model (NSM). The simplified E.Coli algorithm consists of a tumbling operator and a swimming operator and at the same time the optimal position of individual E.Coli and the(More)
The model identification of the nonlinear system has been concerned by the industrial community all along. The relationship of the nonlinear dynamic system is contained in the data accumulated in the scene. To better utilize the data about the industrial objects, in this article, we put forward the nonlinear system predictor driven by the Bayesian-Gaussian(More)
In this paper, a solid mounted FBAR working at 2.0 GHz was fabricated, which was intended for high sensitive molecular sensing. To measure the devices conveniently and accurately on the board, an in-fixture measurement method based on the de-embedded technique using the fixture model and the measured S-parameters is developed with high precision to get rid(More)
In cutting tool temperature experiment, a large number of related data could be available. In order to define the relationship among the experiment data, the nonlinear regressive curve of cutting tool temperature must be constructed based on the data. In this paper, a simplified E. Coli foraging optimization algorithm is proposed with three main operators,(More)