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AEI
1999
110views more  AEI 1999»
13 years 6 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
ESANN
1998
13 years 7 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
ICML
2009
IEEE
14 years 7 months ago
Optimized expected information gain for nonlinear dynamical systems
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-d...
Alberto Giovanni Busetto, Cheng Soon Ong, Joachim ...
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 1 months ago
On optimal input design in system identification for control
Abstract-- This paper considers a recently proposed framework for experiment design in system identification for control. We will consider model based control design methods, such ...
Bo Wahlberg, Håkan Hjalmarsson, Mariette Ann...
ESANN
2004
13 years 7 months ago
Dynamic functional-link neural networks genetically evolved applied to system identification
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
Teodor Marcu, Birgit Köppen-Seliger