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On the basis of systematical analysis of the competitiveness, target elements, the main elements and resource elements of innovative enterprises, the power system model of enhance the competitiveness of innovative enterprises was put out. Basing on the system dynamics theory, this model revealed the rule of competitiveness enhance of innovative enterprises.
This paper presents a speaker identification method using Gammatone cepstral coefficients extracted by Gammatone filters and a group of general regression neural networks. The Gammatone cepstral coefficients are adapted to the characteristics of speech signals through adjusting the Gammatone filter and the filter bank settings. To reduce the training data and time cost of the general regression neural...
A nonlinear system internal model control based on neural networks is studied in this paper. The fuzzy rough set theoretic techniques are used to knowledge extraction from the collected data. Extracted knowledge is then encoded into the network in the form of initial weights by granular computing. The Neural Network Controller is designed based on the proposed fuzzy rough granular neural networks...
In order to improve the information processing capabilities of the traditional neural network, and improve the forecast accuracy of the wind speed series, a new hysteretic neural network based on the hysteretic neurons is proposed. The hysteretic neuron is constructed by adding a hysteretic operator into the activation function. The hysteretic characteristic can make the response of the neuron is...
Multimodal optimization problems are typical those problems where both a global optimum and one or more local optima are included, which can be tackled with by evolutionary algorithms. This paper proposes an improved artificial immune network for multimodal function optimization. In the antibody population, antibodies are allocated to three spaces, i.e., the elitist space, the common space and the...
Matrix factorization techniques have been frequently applied in data representation and pattern recognition. One of them is Concept Factorization (CF), which is a new matrix decomposition technique for data representation. In this paper, we propose a novel semi-supervised matrix factorization algorithm, called Constrained Graph Concept Factorization (CGCF), which incorporates the label information...
The grate-kiln system for iron ore pellet induration is a nonlinear, high coupling and large delay process. Considering the deviation between assumption and actual results, it is hard to build accurate kinetic models. Besides, the pure kinetic model also has the limitations to describe the induration process. In this paper, based on kinetic modeling, a hybrid model is built via neural network ensemble...
The main contribution of this paper is the development of hybrid model predictive control and fault detection strategy for wind energy conversion system (WECS) based on mixed logic dynamic (MLD) model framework. The MLD model for WECS including multiple work regions is established. Also the hybrid model predictive control method based on the MLD model of WECS is adopted to implement the variable speed...
Due to various operation modes, complex working environment, and various components with strong coupling in CCBII braking system, multiple incipient faults may happen simultaneously. It is difficult to carry out the multiple incipient faults prognosis for the CCBII braking system using the traditional faults prognosis techniques. In this article, a model-based fault prognosis approach is used for...
A parametric design problem of the finite time state observers for the linear time-invariant systems is investigated. The design aim of the finite time state observers in linear time-invariant systems is to present the parametric form of the state observers which can estimate the system state in a predefined finite time and the estimation stays bounded during the convergence time interval. Based on...
In order to solve the problem that the excessive dimensions of feature vector will lead to probabilistic neural network (PNN) 's structure becoming complicated and recognition rate slowing down when we take the wavelet energy spectrum of the rolling bearing vibration signal as the feature vector, a novel approach based on wavelet energy spectrum, principal component analysis (PCA) and probabilistic...
The inconsistent diagnostic information often occurs in fault diagnosis of complex equipments. In order to improve the diagnosis precision, an integrated fault diagnosis method is proposed based on variable precision rough set (VPRS) and Naive Bayesian network classifier (NBNC). Firstly, according to the relative discernibility of the original fault diagnosis decision table, the β in VPRS is self-determined...
Rapid and accurate fault detection and diagnosis (FDD) is gaining importance for complex equipments because of the need to increase reliability and to decrease possible loss. In this paper, an intelligent fault diagnosis method is presented by using case-based reasoning (CBR) methodology to infer and classify various failures. Firstly, the case representation and the case base are established according...
Due to mechanic vibration, multi-frame coupled and gyro random drift and so on, the design and control of the aerial photography stabilized platform is a complicated process. To improve the existing problem of aerial photography stabilized platform, such as the heavy structure, the lacking of adaptability and so on, the small aerial photography stabilized platform is developed. This system consists...
Pertinent to the multi-shaft synchronous control precision of printing press with shaft-less drive, the artificial potential field algorithm in the flocking motion control method is introduced and the traditional artificial potential field control strategy is given. This control strategy allows the rapid tracking of target value. However, in the traditional artificial potential field control arithmetic,...
This paper introduces a rail length-limited parallel-coupled cart-pendulums system which is one of the morphs from the inverted pendulum family. A swing-up control strategy based on optimization algorithm (pattern search) instead of manual tuning has been proposed for such kind of system to swing the pendulums up cooperating with the original stabilizing controller. The blockset-view of the system...
This research is focused on developing a practical motion control approach, which can greatly simplify the control-oriented modeling and improve the control performance. For any dynamical system which meets the requirements, all necessary dynamics information is deduced in a general form as two matrices, which skillfully avoids the complicated modeling of multi-rigid-body dynamics. The other information,...
Repetitive control is a method to track the periodical signal. This paper proposes a design method of the plug-in repetitive controller based on the architecture in [27]. In such a way, zero following error can be achieved based on the internal model principle. To avoid realizing the inverse dynamics of the plant, a novel controller structure is proposed as the stabilizing filter. It is easy to design...
When wave power system using BDFG operated in islanded mode, the unbalanced loads condition should be taken into consideration in the control system, otherwise it will cause active, reactive power and electromagnetic torque fluctuations because of civil electricity. In this paper, the model of BDFG with unbalanced loads is deduced based on symmetrical component theory, the impact of negative sequence...
In this paper, we study a transmit null-steering beamforming problem for wireless sensor networks in uncertain communication environment. Given a desired receiver direction, the system requires to avoid the unknown eavesdroppers as well. In this case, we adjust both the sensors distribution and phase offsets such that beamforming is achieved at the desired direction, and meanwhile the communication...
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