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» Nonlinear predictive control based on neural multi-models
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AR
2008
188views more  AR 2008»
14 years 10 months ago
Intentional Control for Planetary Rover SRR
Intentional behavior is a basic property of intelligence and it incorporates the cyclic operation of prediction, testing by action, sensing, perceiving, and assimilating the exper...
Robert Kozma, Terry Huntsberger, Hrand Aghazarian,...
ICTAI
2005
IEEE
15 years 3 months ago
Motion Prediction in a High-Speed, Dynamic Environment
The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a ...
Yu Sheng, Yonghai Wu
CIMCA
2005
IEEE
15 years 3 months ago
NEFCOP: A Neuro-Fuzzy Vehicle Collision Prediction System
Given that road accidents occur in a real-time environment, simple crisp functions would barely provide an estimate of the gravity of the life situation. Fuzzy-based systems are a...
K. Venkatesh, Archana Ramesh, M. Alagusundaram, J....
BMCBI
2006
169views more  BMCBI 2006»
14 years 10 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
ICRA
2005
IEEE
257views Robotics» more  ICRA 2005»
15 years 3 months ago
Nonlinear Performance Limits for High Energy Density Piezoelectric Bending Actuators
Abstract— To keep pace with recent advances in microrobotic structures demands actuator technologies which can deliver high power and precise motion. For electroactive material b...
Robert J. Wood, Erik Steltz, Ronald S. Fearing