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By taking researching into current combined power system, a new combined system powered by gas turbine and asynchronous motor is proposed. Mathematical models of the different parts of the Gas Turbine and Motor power system were researched in this paper. Module method was taken to build the simulation model of different parts, including gas turbine, asynchronous motor, synchronous-self-shifting clutch,...
In order to increase the indoor positioning accuracy and reduce the positioning error in wireless sensor network, the Bacterial Foraging Optimization algorithm is introduced to improve the DV-HOP algorithm. The conventional DV-HOP algorithm is not very accurate in calculating the average distance per-hop, and it greatly affects the positioning accuracy. Hence, a new BFO-DV-HOP (Bacterial Foraging...
This paper describes a 2 DOF (Degrees of Freedom) massaging robot prototype: Massagebot, which is equipped with two kinds of massage structure and can realize two kinds of massage by scratching and shaking on user's back. Massagebot has two-wheel gripper, and two-triangular structure of body with good stability. In terms of path planning, we proposed a location algorithm based on simplified acupuncture...
As auxiliary particle filtering techniques needs a large computation, and takes long time when applied to parameter identification, a novel parameter identification approach is proposed. The proposed approach is based on a novel optimal filtering which can be applied to system with nonlinearity. It tries to reach the real probabilistic distribution by estimating the map between priori distribution...
This paper deals with the state filtering problem of nonlinear state-space functions with partial parameters unknown. A novel filtering algorithm is proposed based on a modified maximum likelihood method. Using a new likelihood probabilistic function, we obtain a two-stages strategy of Expectation and Maximization (EM) with the help of Monte Carlo method. The convergence of EM parameter updating strategy...
This article presents a method to build a T-S fuzzy model based on Generalized Dynamic Fuzzy Neural Network (GD-FNN) of Elliptical Basis Function in order to solve the problem of ship motion model's uncertainty and nonlinearity. The proposed method needs neither prior fuzzy neural networks structure knowledge nor prior training phase, it can be used to build the nonlinear and uncertain part through...
In order to better fuse the CT and MR images, based on the classical image fusion method, an image feature extraction and fusion algorithm based on K-SVD is presented. The images are sparse representation. The images are divided into blocks via the sliding window. The dictionary is compiled the column vectors. The redundant dictionary is learned by the K-singular value decomposition (K-SVD) algorithm...
Integratedly use the knowledge of the social network theory based on the traditional trust, and compute the trust of the users of online auction transactions, because of lack of Intelligence, flexibility and initiative in current recommendation system, the Auction Mechanism Based Distributed Personalized Recommendation System was proposed. In this system, intelligent agent technology was used. The...
The cloud acceleration gives user's high-speed download experience. The factors that affect cloud acceleration rate in the process of user file retrieval are the free download of the target file, the download task start time and the user's network connection type. Based on this discovery, combined cycle system can adjust cloud bandwidth in the period of lease. In this paper, the author proposes a...
For π-type rudder anti-pitching system, an iterative predictive control algorithm based on information fusion is proposed. Optimal estimation of co-state sequence and control sequence is obtained by the fusion of future reference trajectory in quadratic performance index function and soft constraint information together with hard constraint information in system function. By taking 442T surface ship...
A method based on elliptic basis function, which is a combination forecasting of gas daily load based on the GD-FNN, is proposed. Prior knowledge of fuzzy neural structure isn't needed, nor does pre-training. It builds models by online adaptive learning algorithm completely. Nonlinear combination of weights is obtained through the network dynamic learning, which is based on the principle of minimum...
Adaptive nonlinear output feedback control of GD-FNN(generalized dynamic fuzzy neural network) for underwater robot motion control using forming filter for wave disturbance is presented. This method completely construct nonlinear and uncertain parts of underwater robot by online adaptive learning algorithm without knowing fuzzy neural structure and training phase in advance. Output feedback control...
Now ontology has been widely used by Artificial Intelligence as an explicit specification of conceptualization in various areas, such as conceptual modeling, information integration, agent-based system design, and semantic web. In this paper, we introduce rough set theory to Ontology. It extends the uncertainty representation in domain ontology and supports uncertainty reasoning. It is more flexible...
This paper presented an incremental data mining algorithm for mining simplified rules. By using a method of the attribute's number increased progressively to check the superfluity of the decision rules. RIDA makes full use of mined rules to mine decision rules from new instance. This algorithm has a high efficiency with simple calculation compared with classical Rough set mining algorithm. And it...
This article proposed a method to build an adaptive intelligent model of ship longitudinal motion aiming at maritime moving in all-weather conditions and ship non-linear longitudinal hydrodynamic coefficients. By taking 442T surface ship as the research object, it calculated typical sea state hydrodynamic coefficients according to water tank experiment results and strip theory,optimized Radial Basis...
A method of studying hydrodynamic coefficient's nonlinear adaptive intelligent model was proposed based on ship motion in the sea all-weather situation. On the basis of microtome section theory, giving the hydrodynamic expression of different wave direction. Using optimal stopping method to optimize the radial basis function(RBF), through simulate and research get the real-time controlling model of...
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