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EEMMAS
2007
Springer
13 years 11 months ago
Prediction Horizons in Agent Models
One motivation for many agent-based models is to predict the future. The nonlinearity of agent interactions in most non-trivial domains mean that the usefulness of such prediction...
H. Van Dyke Parunak, Theodore C. Belding, Sven A. ...
AAAI
1997
13 years 6 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
13 years 10 months ago
Generalized Model Predictive Direct Torque Control: Long prediction horizons and minimization of switching losses
Abstract— This paper presents a generalized Model Predictive Direct Torque Control scheme with an extended horizon, which is composed of multiple hinges (groups of switch transit...
Tobias Geyer
SCL
2008
96views more  SCL 2008»
13 years 5 months ago
Min-Max MPC based on a network problem
In general, min
Teodoro Alamo, David Muñoz de la Peñ...
AUTOMATICA
2007
111views more  AUTOMATICA 2007»
13 years 5 months ago
A stable block model predictive control with variable implementation horizon
— In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a bloc...
Jing Sun, Ilya V. Kolmanovsky, Reza Ghaemi, Shuhao...