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CDC
2008
IEEE
101views Control Systems» more  CDC 2008»
13 years 6 months ago
Variance analysis for identification of cascade systems
The objective of this contribution is to analyze statistical properties of estimated models of cascade systems. Models of such systems are important in for example cascade control ...
Bo Wahlberg, Håkan Hjalmarsson, Jonas M&arin...
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
12 years 11 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
SIAMCO
2002
121views more  SIAMCO 2002»
13 years 4 months ago
Consistent Approximations and Approximate Functions and Gradients in Optimal Control
As shown in [7], optimal control problems with either ODE or PDE dynamics can be solved efficiently using a setting of consistent approximations obtained by numerical discretizati...
Olivier Pironneau, Elijah Polak
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
12 years 11 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
CDC
2010
IEEE
155views Control Systems» more  CDC 2010»
12 years 11 months ago
Linear parametric noise models for Least Squares Support Vector Machines
In the identification of nonlinear dynamical models it may happen that not only the system dynamics have to be modeled but also the noise has a dynamic character. We show how to ad...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor