2012
DOI: 10.5120/6142-8387
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Fault-Tolerant Model Predictive Control of Hybrid Systems

Abstract: This paper, focuses on model predictive control (MPC) problem with fault-tolerance capabilities is formulated within the hybrid systems framework In particular Mixed Logical Dynamical (MLD) approach is considered. It allows to model the hybrid systems involved continuous, discrete dynamics and constraints. The changes or the switches which may appear over such dynamics are modeled by using the auxiliary variables taking into account the interconnections. In this work, we proposed a reconfiguration control appr… Show more

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Cited by 2 publications
(2 citation statements)
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“…The error between the voltage vector whose voltage prediction output and reference output should be close to zero, but the future reference value u * c (k + 1) is unknown. So it has to be predicted from the present and previous values, the reference output will be obtained by the second order Lagrange extrapolation formula [18], which is adopted in this paper, and shown in (16):…”
Section: The Prediction Model Of Reference Outputmentioning
confidence: 99%
“…The error between the voltage vector whose voltage prediction output and reference output should be close to zero, but the future reference value u * c (k + 1) is unknown. So it has to be predicted from the present and previous values, the reference output will be obtained by the second order Lagrange extrapolation formula [18], which is adopted in this paper, and shown in (16):…”
Section: The Prediction Model Of Reference Outputmentioning
confidence: 99%
“…Another way to model hybrid systems is through Mixed Logical Dynamics Modeling (MLD), where time continuous dynamics, discrete event dynamics and constraints of a complex system are transformed into an integrated model, with logical restrictions and dynamics translated to mixed integer inequalities, involving continuous variables (real) and binary variables (or logical). MLD generalizes a wide set of models, including hybrid linear systems, finite elements state machines, some classes of discrete event systems, constraints linear systems, and non linear systems whose nonlinearities can be expressed (or approximated) through linear by part functions [2].…”
Section: Introductionmentioning
confidence: 99%