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AUTOMATICA
2006
78views more  AUTOMATICA 2006»
13 years 8 months ago
Stabilizing decentralized model predictive control of nonlinear systems
This note presents a stabilizing decentralized model predictive control (MPC) algorithm for nonlinear discrete time systems. No information is assumed to be exchanged between loca...
L. Magni, Riccardo Scattolini
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
13 years 8 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 8 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
AUTOMATICA
2008
101views more  AUTOMATICA 2008»
13 years 8 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
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
13 years 8 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
AUTOMATICA
2007
80views more  AUTOMATICA 2007»
13 years 8 months ago
Fast, large-scale model predictive control by partial enumeration
Partial enumeration (PE) is presented as a method for treating large, linear model predictive control applications that are out of reach with available MPC methods. PE uses both a...
Gabriele Pannocchia, James B. Rawlings, Stephen J....
AUTOMATICA
2007
104views more  AUTOMATICA 2007»
13 years 8 months ago
Improving off-line approach to robust MPC based-on nominal performance cost
This paper gives two alternative off-line synthesis approaches to robust model predictive control (RMPC) for systems with polytopic description. In each approach, a sequence of ex...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
AUTOMATICA
2010
90views more  AUTOMATICA 2010»
13 years 8 months ago
A line search improvement of efficient MPC
A recent lifting technique led to a computationally efficient Model Predictive Control (MPC) strategy in which the online optimization is performed using a univariate Newton-Raphs...
Basil Kouvaritakis, Shuang Li, Mark Cannon
ICRA
2007
IEEE
142views Robotics» more  ICRA 2007»
14 years 2 months ago
Hybrid Model Predictive Control for Stabilization of Wheeled Mobile Robots Subject to Wheel Slippage
— This paper studies the problem of stabilizing wheeled mobile robots (WMRs) subject to wheel slippage to a predefined set. When slippage of the wheels can occur, WMRs can be mo...
Shangming Wei, Milos Zefran, Kasemsak Uthaichana, ...
IROS
2008
IEEE
106views Robotics» more  IROS 2008»
14 years 2 months ago
Viability and predictive control for safe locomotion
— The problem of safe locomotion of legged and wheeled robots, when trying to avoid falling, tipping over or hitting obstacles, appears to be a problem of viability and not of Ly...
Pierre-Brice Wieber