Abstract
The quadratic programme that must be solved with certain output-feedback model predictive controllers can be expressed as a continuous sector-bounded nonlinearity together with two linear transformations. Thus, the multivariable circle criterion gives a simple test for stability, with or without model mismatch. In particular, it may be applied if the open-loop plant is stable and the actuators are subject to simple saturation constraints. In the case of single horizon model predictive control, it suffices to check for positive realness a transfer function matrix whose dimension corresponds to the number of inputs. For an arbitrary length receding horizon it suffices to check the poles of a low dimension transfer function matrix and the eigenvalues (over an appropriate range of operator values) of a matrix whose dimension is independent of the horizon length. Copyright © 2005 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 515-529 |
Number of pages | 14 |
Journal | International Journal of Robust and Nonlinear Control |
Volume | 15 |
Issue number | 12 |
DOIs | |
Publication status | Published - Aug 2005 |
Keywords
- Anti-windup control
- Circle criterion
- Model predictive control
- Robust control