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» From monotone inequalities to Model Predictive Control
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CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
14 years 5 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
76
Voted
AUTOMATICA
2008
101views more  AUTOMATICA 2008»
14 years 10 months ago
Constrained linear system with disturbance: Convergence under disturbance feedback
This paper proposes a disturbance-based control parametrization under the Model Predictive Control framework for constrained linear discrete time systems with bounded additive dis...
Chen Wang, Chong Jin Ong, Melvyn Sim
87
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CORR
2007
Springer
169views Education» more  CORR 2007»
14 years 10 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
98
Voted
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
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
14 years 5 months ago
Hierarchical model predictive control for resource distribution
This paper deals with hierarchical model predictive control (MPC) of distributed systems. A threelevel hierarchical approach is proposed, consisting of a high level MPC controller,...
Jan Dimon Bendtsen, Klaus Trangbaek, Jakob Stoustr...