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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
13 years 10 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
MCS
2008
Springer
13 years 5 months ago
On the stability analysis of nonlinear systems using polynomial Lyapunov functions
In the stability study of nonlinear systems, not to found feasible solution for the LMI problem associated with a quadratic Lyapunov function shows that it doesn't exist posi...
Hajer Bouzaouache, Naceur Benhadj Braiek
IFIP
2007
Springer
13 years 12 months ago
Elliptic Control by Penalty Techniques with Control Reduction
The paper deals with the numerical treatment of optimal control problems with bounded distributed controls and elliptic state equations by a wider class of barrier-penalty methods...
Christian Grossmann, Holger Kunz, Robert Meischner
IJCIM
2002
99views more  IJCIM 2002»
13 years 5 months ago
A distributed, event-driven control architecture for flexibly automated manufacturing systems
This paper presents a new distributed real-time control architecture for flexibly automated production systems. The modelling assumptions underlying the design en by, and abstract,...
Jonghun Park, Spyros A. Reveliotis, Douglas A. Bod...
SIAMCO
2000
71views more  SIAMCO 2000»
13 years 5 months ago
Any Domain of Attraction for a Linear Constrained System is a Tracking Domain of Attraction
We face the problem of determining a tracking domain of attraction, say the set of initial states starting from which it is possible to track reference signals in given class, for...
Franco Blanchini, Stefano Miani