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Approximate and Approximate Null-Controllability of a Class of Piecewise Linear Markov Switch Systems
Dan Goreac, Claudia Alexandra Grosu, Eduard Paul Rotenstein

Approximate and Approximate Null-Controllability of a Class of Piecewise Linear Markov Switch Systems

Science & Mathematics Published 2016 Verification Pending

Overview & Synopsis

We propose an explicit, easily-computable algebraic criterion for approximate null-controllability of a class of general piecewise linear switch systems with multiplicative noise. This gives an answer to the general problem left open in [13]. The proof relies on recent results in [4] allowing to reduce the dual stochastic backward system to a family of ordinary differential equations. Second, we prove by examples that the notion of approximate controllability is strictly stronger than approximate null-controllability. A sufficient criterion for this stronger notion is also provided. The results are illustrated on a model derived from repressed bacterium operon (given in [19] and reduced in [5]).

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Document Information

Document Title Approximate and Approximate Null-Controllability of a Class of Piecewise Linear Markov Switch Systems
Author / Organization Dan Goreac, Claudia Alexandra Grosu, Eduard Paul Rotenstein
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2016
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-70311
Original Source Link Visit Source Page on hal.science »