Zobrazeno 1 - 10
of 216
pro vyhledávání: '"R. Saeks"'
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). 33:125-136
The focus of this paper is to describe a neural adaptive control (NAC) technology derived using a Lyapunov synthesis technique. The NAC is a nonlinear adaptive controller which requires minimal plant information. It adapts its gains in real time to m
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews). 32:140-153
Unlike the many soft computing applications where it suffices to achieve a "good approximation most of the time," a control system must be stable all of the time. As such, if one desires to learn a control law in real-time, a fusion of soft computing
Publikováno v:
International Journal of Robust and Nonlinear Control. 9:1071-1096
Autor:
R. Saeks
If one takes the intuitive point of view that a system is a black box whose inputs and outputs are time functions or time series it is natural to adopt an operator theoretic approach to the stUdy of such systems. Here the black box is modeled by an o
Autor:
R. Saeks, P. J. Warden
Publikováno v:
Circuits Systems and Signal Processing. 14:167-185
The problem of designing a stabilizing compensator for a control system to achieve prescribed initial value constraintsυ(i)(0+)=yi is considered. Indeed, modulo certain technical conditions, such a compensator exists if and only if yi=0;i= 0,1,...,r
Autor:
Gareth J. Knowles, R. Saeks
Publikováno v:
Mathematical Theory of Networks and Systems ISBN: 354013168X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99f0e8a364eb8b22177a04925a92fc23
https://doi.org/10.1007/bfb0031083
https://doi.org/10.1007/bfb0031083
Autor:
R. Saeks, John F. Murray
Publikováno v:
34th AIAA Plasmadynamics and Lasers Conference.
Publikováno v:
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269).
Summary form only given. An adaptive critic control algorithm is used to control the flow of electric power in the power train of a hybrid electric vehicle. This system consists of a fuel cell which serves as the primary power source, a flywheel/batt
Publikováno v:
[Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.
The neural network based robotic arm control concept covers three areas, decentralized adaptive joint control, an inverse kinematics, and path planning. Included are new results from the decentralized adaptive joint controller. This joint controller
Publikováno v:
Conference Record AUTOTESTCON '92: The IEEE Systems Readiness Technology Conference.
A neural network based fault diagnosis system is being developed for use in aerospace systems in which a family of neural nets replaces an online simulation process. A new neural network implementation of one of the model-based algorithms was develop