Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yoo Hsiu Yeh"'
Publikováno v:
IFAC Proceedings Volumes. 41:13677-13682
While autonomous landing of unmanned aerial vehicles (UAVs) requires accurate position estimation, the standard inertial navigation unit (INU, the inertial measurement unit with a global positioning system (GPS)) provides relatively poor accuracy in
Autor:
Abraham K. Ishihara, Kevin Young, Jacques A. Dolan, Yoo Hsiu Yeh, Dan Liddell, Daniel Nguyen, Robert Getsla, Chi-ping Yeh, Steve Yang, Shahar Ben-Menahem
Publikováno v:
Power and Energy Systems and Applications.
Publikováno v:
IJCNN
A fully tuned Growing Radial Basis Function (GRBF) neural network controller for the control of robot manipulators is proposed. In addition to the weights, the centers and the standard variations are adapted online. Furthermore, we present an algorit
Autor:
Shahar Ben-Menahem, Jacques A. Dolan, Abraham K. Ishihara, Chi-ping Yeh, Ritchie Lee, Yoo Hsiu Yeh, Daniel Nguyen
Publikováno v:
IJCNN
In this paper, we present a neural network algorithm to estimate the I-V curve of a photovoltaic (PV) module under non-uniform temperature and shading distributions. We first present a novel photovoltaic simulation model which includes the interactio
Publikováno v:
Infotech@Aerospace 2011.
Classical Radial Basis Function (RBF) neural network controller designs typically fix the number of basis functions and tune only the weights. In this paper we present a backstepping neural network controller algorithm in which all RBF parameters, in
Publikováno v:
AIAA Infotech@Aerospace 2010.
In this paper, we introduce and describe a new type of Joint Time-Frequency Analysis (JTFA), which we call the Windowed Laplace Transform (WLT) method. In addition to general signal processing applications, this new method can be used to extend Nyqui
Publikováno v:
AIAA Infotech@Aerospace 2010.
Using non-navigational (e.g. imagers, scientific) sensor information in control loops is a difficult problem to which no general solution exists. Whether the task can be successfully achieved in a particular case depends highly on problem specifics,
Publikováno v:
AIAA Infotech@Aerospace 2010.
Unmanned Aerial Vehicles (UAVs) can serve as low cost and low risk platforms for flight testing in Aeronautics research. The NASA Exploration Aerial Vehicle (EAV) and Experimental Sensor-Controlled Aerial Vehicle (X-SCAV) UAVs were developed in suppo
Publikováno v:
AIAA Infotech@Aerospace 2010.
In this paper we present a feedforward adaptive control scheme with application to the control of a nonlinear aircraft model with uncertainty in the aerodynamic moment coefficients. The feedforward controller is represented by a basis function networ
Publikováno v:
AIAA Infotech@Aerospace Conference.
Payload Directed Flight (PDF) calls for agile and precise tracking control of an air vehicle that poses significant challenges to current flight control techniques. To support the goals of NASA’s Payload Directed Flight program, Trajectory Lineariz