Stability analysis and saturation control for nonlinear positive Markovian jump systems with randomly occurring actuator faults
Résumé
This paper investigates the stability analysis and control design of a class of nonlinear positive Markovian
jump systems with randomly occurring actuator faults and saturation. It is assumed that the actuator faults of
each subsystem are varying and governed by a Markovian process. The nonlinear term is located in a sector.
First, sufficient conditions for stochastic stability of the underlying systems are established using a stochastic
co-positive Lyapunov function. Then, a family of reliable L1-gain controller is proposed for nonlinear
positive Markovian jump systems with actuator faults and saturation in terms of a matrix decomposition
technique. Under the designed controllers, the closed-loop systems are positive and stochastically stable
with an L1-gain performance. An optimization method is presented to estimate the maximum domain of
attraction. Furthermore, the obtained results are developed for general Markovian jump systems. Finally,
numerical examples are given to illustrate the effectiveness of the proposed techniques.