Zobrazeno 1 - 10
of 88
pro vyhledávání: '"G. Schram"'
Autor:
William M. Rivera, Susan G. Schram
Publikováno v:
Agricultural Extension Worldwide ISBN: 9781003273202
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efded3897d49c94ed8715f634918e074
https://doi.org/10.4324/9781003273202-21
https://doi.org/10.4324/9781003273202-21
Autor:
William M. Rivera, Susan G. Schram
First published in 1987, Agricultural Extension Worldwide presents an international perspective on agricultural extension and highlights extension as an integral function of agricultural development. Agricultural extension is one of the largest nonfo
Publikováno v:
Journal of Guidance, Control, and Dynamics. 22:178-181
Many aircraft accidents are related to hazardous windshear phenomena, in particular to the microburst. The energy loss which is associated with a microburst encounter can be very dangerous for the aircraft at low altitude. In this paper, a recovery c
Publikováno v:
IFAC Proceedings Volumes. 31:263-268
Right safety during normal as well as during hazardous weather conditions is a key issue in modern flight control systems. From all weather phenomena, low-altitude wind shear remains a particular concern to flight safety. Aircraft might not be able t
Publikováno v:
IEEE Transactions on Fuzzy Systems, 6 (2)
The attitude control of a satellite is often characterized by a limit cycle, caused by measurement inaccuracies and noise in the sensor output. In order to reduce the limit cycle, a nonlinear fuzzy controller was applied. The controller was tuned by
Publikováno v:
IFAC Proceedings Volumes. 29:95-100
Radial basis function networks are attractive for control applications because of the global convergence after fixing the structure. An effective method based on heuristics is proposed for selecting the structure, and applied to both the approximatio
Publikováno v:
IFAC Proceedings Volumes. 29:4150-4155
For the control of a process, usually the relation between past input-output data of the process and future outputs must be identified. For the identification of nonlinear systems, neural networks can be used [3]. In this context, neural networks are
Autor:
W. W. Wallace, Susan G. Schram
Publikováno v:
Journal of Agricultural & Food Information. 3:39-47
The United States Congress has become increasingly concerned that the agricultural crops of economic importance in the United States could be significantly stressed by global environmental changes, and has recognized that USDA data bases can provide
Publikováno v:
Robotics and Autonomous Systems, 18, 293-299. Elsevier
For a target tracking task, the hand-held camera of the anthropomorphic OSCAR-robot manipulator has to track an object which moves arbitrarily on a table. The desired camera-joint mapping is approximated by a feedforward neural network. Through the u