2020
DOI: 10.1016/j.ifacol.2020.12.1580
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A time-varying Gramian based model reduction approach for Linear Switched Systems

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Cited by 7 publications
(6 citation statements)
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“…x q (t + q ) = J σ(t + q ),σ(t − q ) x q−1 (t − q ), y(t) = C σ(t) x q (t), t ∈ R, (1) where x q : (t q , t q+1 ) → R nq is the absolutely continuous q-th piece of the state, u : R → R u is the input and y is the measured output. The switching signal σ : R → Q = {1, 2, • • • , f } ⊂ N is a given piecewise constant function with finitely many switching times:…”
Section: Introductionmentioning
confidence: 99%
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“…x q (t + q ) = J σ(t + q ),σ(t − q ) x q−1 (t − q ), y(t) = C σ(t) x q (t), t ∈ R, (1) where x q : (t q , t q+1 ) → R nq is the absolutely continuous q-th piece of the state, u : R → R u is the input and y is the measured output. The switching signal σ : R → Q = {1, 2, • • • , f } ⊂ N is a given piecewise constant function with finitely many switching times:…”
Section: Introductionmentioning
confidence: 99%
“…In particular, finding a minimal realization could be seen as the first step towards model reduction. In [1], we have presented a time-varying model reduction approach for linear switched system which was not a switched system anymore. Therefore, our aim is to gain insight into a more suitable model-reduction approach by studying the minimal realization problem for switched systems of the form (1) within this system class.…”
Section: Introductionmentioning
confidence: 99%
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“…A brief version of Chapter 4 will be presented at the 10th International Conference on Mathematical Modelling (MATHMOD 2022) in Vienna, Austria, and this chapter has also been submitted for journal publication. A brief version of Chapter 5 has been presented at IFAC World Congress 2020 and published as [58]. Chapter 6 has been submitted for journal publication.…”
Section: Origins Of the Chaptersmentioning
confidence: 99%