Abstract
This paper considers the synthesis approach of model predictive control (MPC) for interval type-2 (IT2) Takagi-Sugeno fuzzy system with quantization error and Markovian data loss. An event-triggered scheme is introduced to determine whether the control law should be transmitted into the communication network or not, which reduces the waste of communication resources. The data loss and quantization error are disposed by Markovian jump model and sector bound approach respectively. Synthesis approach of MPC is provided by solving an MPC optimization problem over an infinite horizon objective function which explicitly considers the input constraints. The effectiveness of this approach is approved by the simulation results.
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