Abstract

In Markov jump systems (MJSs), it is really difficult for the controller to perfectly follow the plant's mode transitions due to a number of practical factors. Therefore, this article considers to develop an asynchronous controller for a class of two-dimensional continuous-time MJSs. The relation of the plant's mode and the controller's mode is modeled by the hidden Markov model, i.e., the plant's mode influences the controller's transitions in a conditional probabilistic style. By defining a vector Lyapunov function, a sufficient condition for mean-square exponential stability and ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">U</i> , <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i> , <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</i> )- ε dissipativity is derived, whose feasible solutions give birth to a desired asynchronous controller. Finally, the influence of conditional probabilities on dissipativity performance is further studied through simulations.

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