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, an adaptive critic design (ACD) based control algorithm is proposed for road tunnel ventilation systems with jet fans. Firstly, a comprehensive dynamic model is established for control purpose, which considers both the static and dynamic nonlinearities between the pollutant concentration and the jet speed or the air flow inside the tunnel. Vehicle speed and density are also integrated...
We present a model using back-forward feed propagation method for tree diameter distribution in stand based on artificial neural network with three-tier management. This model is able to describe dynamics of diameter distribution in stands with high precision and good correlation. We also demonstrate that an ANN model from it has superiority in regression due to its ability to overcome some difficulties...
In order to satisfy the calibration precision of fiber optic gyro units used in the strap-down inertial navigation system, this paper proposes a combination calibration method. First, according to the characteristics of high precision turntable positioning, a static discrete calibration is proposed. It makes use of the Earth's rotational speed and a special calibration path to calibrate the fiber...
In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable neural network sliding mode controller (NN-SMC) for a linear motor speed loop control is proposed. The neural network control is highly efficient for some large data sets via self-organizing, learning, and forgetting. Analysis of simulations reveals that...
The attraction of neural networks is that they are best suited to solving the problems that are the most difficult to solve by traditional computational methods. BP neural network is widely used in many fields. In this paper, analysed the control requirements of servo control system, combined control characteristics of neural network and PID based on mathematical model of permanent magnet linear synchronous...
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.