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CORR
2004
Springer
142views Education» more  CORR 2004»
14 years 10 months ago
Modeling and Validating Hybrid Systems Using VDM and Mathematica
Hybrid systems are characterized by the hybrid evolution of their state: A part of the state changes discretely, the other part changes continuously over time. Typically, modern c...
Bernhard K. Aichernig, Reinhold Kainhofer
85
Voted
AUTOMATICA
1999
119views more  AUTOMATICA 1999»
14 years 10 months ago
Robust L2-gain control for nonlinear systems with projection dynamics and input constraints: an example from traffic control
We formulate the L2-gain control problem for a general nonlinear, state-space system with projection dynamics in the state evolution and hard constraints on the set of admissible ...
Joseph A. Ball, Martin V. Day, Tungsheng Yu, Pushk...
132
Voted
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
14 years 8 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
VTC
2008
IEEE
102views Communications» more  VTC 2008»
15 years 4 months ago
Channel Prediction Aided Multiuser Transmission in SDMA
— Transmit preprocessing employed at the basestation (BS) has been proposed for simplifying the design of the mobile receiver. Provided that the channel impulse response (CIR) of...
Wei Liu, Lie-Liang Yang, Lajos Hanzo
114
Voted
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
15 years 2 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi