Adaptive model predictive control for constrained MIMO systems
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Author / Producer
Date
2013
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Data
Abstract
An adaptive output feedback control algorithm for constrained multiple input multiple output linear systems is proposed, able to cope with input and output constraints, output disturbances and measurement noise. The approach relies on a real-time set membership identification algorithm to provide bounds on the predicted plant outputs. These bounds are exploited in a receding horizon control strategy that guarantees recursive satisfaction of constraints. The algorithm yields offset free reference tracking in case of constant output disturbance and zero measurement noise. The effectiveness of the proposed approach is illustrated on a numerical example.
Permanent link
Publication status
published
Book title
11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2013)
Journal / series
Volume
46 (11)
Pages / Article No.
39 - 44
Publisher
Elsevier
Event
11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 2013)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
08814 - Smith, Roy (Tit.-Prof.) (ehemalig) / Smith, Roy (Tit.-Prof.) (former)
03416 - Morari, Manfred (emeritus)
Notes
Conference lecture held on July 3, 2013.
Funding
252284 - Innovative Control, Identification and Estimation Methodologies for Sustainable Energy Technologies (EC)