Finite-Time L-2-Gain Asynchronous Control for Continuous-Time Positive Hidden Markov Jump Systems via T-S Fuzzy Model Approach

This article investigates the finite-time asynchronous control problem for continuous-time positive hidden Markov jump systems (HMJSs) by using the Takagi-Sugeno fuzzy model method. Different from the existing methods, the Markov jump systems under consideration are considered with the hidden Markov model in the continuous-time case, that is, the Markov model consists of the hidden state and the observed state. We aim to derive a suitable controller that depends on the observation mode which makes the closed-loop fuzzy HMJSs be stochastically finite-time bounded and positive, and fulfill the given L-2 performance index. Applying the stochastic Lyapunov-Krasovskii functional (SLKF) methods, we establish sufficient conditions to obtain the finite-time state-feedback controller. Finally, a Lotka-Volterra population model is used to show the feasibility and validity of the main results.

Automated summary

This article investigates the finite-time asynchronous control problem for continuous-time positive hidden Markov jump systems using the Takagi-Sugeno fuzzy model method. The focus is on deriving a suitable controller depending on the observation mode to ensure system boundedness, positivity, and given performance index within a finite time. The feasibility and validity of the main results are demonstrated using a Lotka-Volterra population model.