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JIRS
2008
100views more  JIRS 2008»
14 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
ICML
2006
IEEE
15 years 10 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
ASC
2000
14 years 11 months ago
Extended Neural Model Predictive Control of Non-Linear Systems
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
P. Gil, J. Henriques, A. Dourado, H. Duarte-Ramos
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
14 years 9 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
FPL
2007
Springer
106views Hardware» more  FPL 2007»
15 years 4 months ago
Monte Carlo Logarithmic Number System for Model Predictive Control
Simple algorithms can be analytically characterized, but such analysis is questionable or even impossible for more complicated algorithms, such as Model Predictive Control (MPC). ...
Panagiotis D. Vouzis, Sylvain Collange, Mark G. Ar...