In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
This paper presents a new visual servoing scheme which is invariant to changes in camera intrinsic parameters. Current visual servoing techniques are based on the learning of a ref...
Background: In the yeast Saccharomyces cerevisiae, interactions between galactose, Gal3p, Gal80p, and Gal4p determine the transcriptional status of the genes required for the gala...
Vishwesh V. Kulkarni, Venkatesh Kareenhalli, Pushk...
This paper investigates a learning control using iterative error compensation for uncertain systems to enhance the precision of high speed, computer controlled machining process. ...
—Many data center devices, for instance packet switches, can be modeled within the context of resource constrained queueing systems. In this paper, we define a novel algorithm c...
Benjamin Yolken, Dimitrios Tsamis, Nicholas Bambos