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AUTOMATICA
2010
98views more  AUTOMATICA 2010»
13 years 10 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
AUTOMATICA
2005
178views more  AUTOMATICA 2005»
13 years 10 months ago
Spacecraft attitude control using explicit model predictive control
In this paper, an explicit model predictive controller for the attitude of a satellite is designed. Explicit solutions to constrained linear MPC problems can be computed by solvin...
Øyvind Hegrenæs, Jan Tommy Gravdahl, ...
TROB
2010
129views more  TROB 2010»
13 years 9 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 5 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
AUTOMATICA
2010
123views more  AUTOMATICA 2010»
13 years 9 months ago
On the computation of linear model predictive control laws
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...