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Recursive projection twin support vector machine (PTSVM) and Locality preserving projection twin support vector machine (LPPTSVM) are two extensions of traditional support vector machine (SVM). However, they may lead to a weak classifier in the application where some data points may not be fully assigned to one class. In this paper, we introduce the basic idea of fuzzy membership into LPPTSVM and...
The emergence of 5G wireless communication calls for new paradigms to satisfy the individuation and diversification of users' demands. In this paper, we construct the multicast groups under the guidance of user interest and then allocate the subcarriers and power to these groups in orthogonal frequency division multiple (OFDM) networks. Specifically, in order to maximize the social utility related...
A wide variety of lower limb exoskeletons have been applied in the fields of load-carrying augmentation, walking assistance, and rehabilitation training. The traditional exoskeleton based on fully actuated joints can provide powerful assistance for human motion, while it is bulky requiring a large energy consumption, which limits its application. The passive and quasi-passive exoskeletons are weak...
A new type of integration robot of arm and leg has been developed. Its cross gait of walking quickly on the barrier-free road was designed and planned. Gait optimization algorithm based on the energetic optimum was put forward, which can optimize the robot cross gait, and get the corresponding optimization parameters of walking gait. The simulation results show that the robot has the very good exercise...
The mathematic model of single valve train, lagrangian formulation, is built up. Through it, the dynamic characteristics of the single valve train are simulated with MATLAB. The result indicates that the deformation of some parts of the valve train affects their dynamic coupling. So the acceleration of valve and contact force between the cam and running pulley fluctuate severely. The valve train dynamic...
To deal with the disturbance of current and pulse moment in the heading control of Autonomous Underwater Vehicle(AUV), the paper presents an auto-disturbance-rejection controller for the heading control system of AUV. By selecting an operating point for the derived nonlinear model of AUV in horizontal plane, a linear heading control model of AUV is obtained by linearizing the model at the operating...
We adopt multi-point planning method based on cubic spline function to perform parametric design of dynamic walking. The objective of optimization is to achieve maximum ZMP stability and minimum joint driving torque, together with the combination of multi-objective genetic algorithm to optimize the gait parameters. Simulation verification has also been carried out in ADAMS and Matlab after optimization...
The simulations of pressurized water reactor (PWR) nuclear power plant (NPP) is a very important domain in the society of nuclear power, and there are several problems with the current PWR-NPP simulations. First, the current physical modeling of PWR is over-simplified which can bring convenience of implementation, while severe inaccuracy is prone to be incurred at some critical situation. Second,...
Elman neural network was one of the dynamic recurrent neural networks. In this paper, a new modified Elman network was proposed first. Then the dynamic characteristics of Elman series neural network are fully discussed. The theory study proved that the new Elman network inherently has proportional (P), integral (I), derivative (D) properties and traditional Elman networks only have PI or I characteristics...
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