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IJCNN
2000
IEEE
13 years 12 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 7 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
ISQED
2003
IEEE
109views Hardware» more  ISQED 2003»
14 years 26 days ago
Modeling and Analysis of Power Distribution Networks for Gigabit Applications
—As the operating frequency of digital systems increases and voltage swing decreases, it becomes very important to characterize and analyze power distribution networks (PDNs) acc...
Wendemagegnehu T. Beyene, Chuck Yuan, Joong-Ho Kim...
WCNC
2008
IEEE
14 years 2 months ago
How Much Improvement Can We Get From Partially Overlapped Channels?
—Partially Overlapped Channel (POC) based design, has been identified recently as a promising technique to overcome the capacity bottleneck facing wireless engineers in various ...
Zhenhua Feng, Yaling Yang
ISORC
1999
IEEE
13 years 12 months ago
Implementing the Real-Time Publisher/Subscriber Model on the Controller Area Network (CAN)
Designing distributed real-time systems as being composed of communicating objects offers many advantages with respect to modularity and extensibility of these systems. However, d...
Jörg Kaiser, Michael Mock