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CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 2 months ago
On optimal input design in system identification for control
Abstract-- This paper considers a recently proposed framework for experiment design in system identification for control. We will consider model based control design methods, such ...
Bo Wahlberg, Håkan Hjalmarsson, Mariette Ann...
ASC
2000
13 years 8 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
178views more  AUTOMATICA 2005»
13 years 7 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, ...
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
13 years 7 months ago
On robustness of constrained discrete-time systems to state measurement errors
In this note we show that robustness with respect to additive disturbances implies robustness with respect to state measurement errors and additive disturbances for a class of dis...
B. J. P. Roset, W. P. M. H. Heemels, Mircea Lazar,...
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 7 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