Finite-time H∞ predictive control for stochastic networked control systems with delays and packet dropouts

The work investigates the finite-time H-infinity predictive control problem for stochastic networked control systems (NCSs) with communication constraints. Firstly, by absorbing the phenomena of unmeasurable state and missing measurements, the nonfragile observer (NFO)-based networked predictive control (NPC) strategy is obtained to dispose the time delays and packet dropouts (TD-PDs). To replace previous prediction strategy, a disturbance-based prediction mechanism is adopted. Moreover, based on it, a novel NPC system model is constructed, where the missing measurement is first considered in studying NPC system with TD-PDs, sufficient conditions are derived to ensure the closed-loop systems (CLSs) stochastic finite-time boundedness (SFTB) with a prescribed H-infinity performance. Subsequently, criteria for co-designing both the uniform NFO-based predictive controller and the NFO are calculated based on the bounded TD-PDs. Finally, an illustrative example clearly verifies the usefulness of the main result.