The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, robust adaptive tracking control is proposed for ocean surface vessels based on neural network. In the tracking control design, parametric uncertainties, unknown disturbances and input saturation are explicitly considered. Using neural network (NN) approximation and backstepping control techniques, full state feedback control and output feedback control are investigated to tackle system...
Approximate dynamic programming method is a combination of neural networks, reinforcement learning, as well as the idea of dynamic programming. It is an online control method which bases on actual data rather than a precise mathematical model of the system. This method is suitable for the optimal control of nonlinear systems, and can avoid the problem of dimension disaster. It can effectively solve...
Electrocardiogram (ECG) signal has been widely used in cardiac pathology to detect heart disease. In this paper, wavelet neural network (WNN) is studied for ECG signal modeling and noise reduction. WNN combines the multi-resolution nature of wavelets and the adaptive learning ability of artificial neural networks, and is trained by a hybrid algorithm that includes the adaptive diversity learning particle...
The outbreak of water-bloom is the result of coactions of water body's physical, chemical, biologic and other progresses. It is very difficult to establish uniform mathematical model to efficiently evaluate and predict the water-bloom because of the water body's biodiversity and nonlinearity. Based on the foundation of research in the mechanism of water-bloom and the main component analysis in rivers...
By following Zhang et al's neural-network design-method, a special kind of neural dynamics is generalized, developed and investigated in this work for online solution of nonlinear equation f(x) = 0. Different from conventional gradient-based dynamics (or termed, gradient-dynamics, GD), the resultant Zhang neural-dynamics (or termed, Zhang dynamics, ZD) is designed based on the elimination of an indefinite...
The continuous annealing furnace is one of the main equipments in the continuous annealing production line for iron and steel enterprise, and has a direct impact on the quality of cold-rolled strip steel, production and cost. The temperature control of continuous annealing furnace is a complex industrial process which is difficult to control. It is difficult to obtain a good control result by using...
The static coupling of multi-axis force sensor is a major influencing factor to its measuring precision. Aiming at resolving the disadvantages such as low decoupling precision of the traditional method, we put forward a linear decoupling method based on neural network. Firstly, this paper analyzes the reasons why coupling exists in the multi-axis force sensor, and then according to this phenomenon,...
Against these disadvantages like local minimum, slow convergence speed, non-convergence and difficulty in obtaining of global optimal point, the new Neural Networks with Weight Function is proposed in this paper with simple network topology constituted by input layer and output layer only. This network is used in establishing the Energy Consumption Forecasting Model of DAGUSHAN Ore Dressing Plant...
Dephosphorization is one of the most important part of AOD furnace ferroalloy melting, and it is also one of the basic reaction. Bing the smelting process is complex in this paper promote the wavelet neural network algorithm in order to predict the endpoint of phosphorus value and using on-line data to training the wavelet neural network. The simulation results showed that the prediction relative...
The main purpose of this paper is to study the globally exponential stability of the equilibrium point for a class of impulsive neural networks with time-varying delays. Without assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Halanay differential inequality with delay, the sufficient conditions for globally exponential stability...
A novel and saving energy logistics handling equipment - rare earth lifting permanent magnet was designed, which can completely overcome the disadvantages found from lifting electromagnet. The working principle and neural network model of magnetic circuit design were developed. At the same time, a perfect self-acting driving system was invented, which guarantees that the attracted ferromagnetic cargo...
Permanent magnet synchronous motor (PMSM) is a complex plant to control, due to its high nonlinearity and strong coupling. At the same time, the variations of motor parameters make this problem more serious. So, parameter identification of PMSM seems to be important for the double closed-loop vector control system. To solve this problem, a new method combining Elman neural network(Elman NN) and modified...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.