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.
This paper presents a systematic control synthesis method in order to achieve auto-transition for KH-Lion, a tail-sitter hybrid UAV. Although there are huge potentials in various applications of the hybrid tail-sitter UAVs, the transition between vertical take-off and landing mode and cruise mode is still a challenge now. Due to the complex behaviour that the transition can generate, it is very difficult...
Accurate mathematical models especially accurate hydrodynamic parameters of unmanned underwater vehicles (UUVs) are essential for good control performance. This paper provides a general framework for the hydrodynamic modeling of a small-scale UUV. In place of physical experiments such as captive model tests, a virtual model test and simulation was conducted via commercial computational fluid dynamics...
Aggressive maneuvers for micro unmanned aerial vehicle (MAV) require short settling time for attitude reference tracking and small overshoot for stabilization, which leads to the implementation of composite nonlinear feedback (CNF) control method. In this paper, an MAV platform is customized with all of the sub-systems designed to be small in size factor and simplified with their functionality. A...
In this work, we provide a nonlinear mathematical model identification methodology of an autonomous micro quadrotor, and the design of its orientation and position controllers. In the model identification, we specifically focus on the brushed D.C. motor dynamics, which further breaks down into three different segments: voltage generation, motor dynamics, and force/torque generation. Test bench experiments...
Based on the system adaptation framework which has been proposed in our previous work, this paper focuses on the input part, that is the identification of market influential factors. We first carry out the empirical research to preselect some possible factors from economic and sentiment aspects. The causal and multicollinear relationships between each of them and the external force of the market are...
The behavior of financial markets is modeled by a feedback adaptive system. Based on the internal model identification results, a time-varying state space model with instrumental variables is proposed as the adaptive filter to introduce external influential factors of the stock market to the system. One-step-ahead prediction results are obtained through the optimization of hyperparameters followed...
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.