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IWANN
2001
Springer
15 years 4 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
IJON
2006
138views more  IJON 2006»
14 years 11 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
14 years 10 months ago
Comparing and modeling distributed control strategies for miniature self-assembling robots
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
William C. Evans, Grégory Mermoud, Alcherio...
AHS
2006
IEEE
161views Hardware» more  AHS 2006»
15 years 5 months ago
A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller
We present a framework for a low power self-tuning analog proportional-integral-derivative controller. By using a model-free tuning method, it overcomes problems associated with r...
Varun Aggarwal, Meng Mao, Una-May O'Reilly
GECCO
2000
Springer
15 years 3 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith