Decentralized <inline-formula> <tex-math notation="LaTeX">${H_{\infty}}$ </tex-math></inline-formula> Filtering for Large-Scaled System Based on T-S Fuzzy Model With the Integrated Event-Triggered Strategy

• Main Authors: Liangliang Zhang, Hongbin Zhang, Zhipeng Zhang
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Integrated event-triggered strategy; <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ filter; large-scaled system; Takagi-Sugeno fuzzy system
• Online Access: https://ieeexplore.ieee.org/document/8654656/
• ISSN: 2169-3536

Considering the characteristics of data transmission between the channels, this paper studies the decentralized H_&#x221E; filter for the large-scaled system with an integrated event-triggered strategy. The Takagi-Sugeno fuzzy model is used to approximate the large-scaled system. Different from the event-triggered control with the single condition, an event-triggered control with an integrated condition is presented to determine when the measurement output should be broadcast and transmitted to its filter and thus leading to a high efficiency of data transmissions. By applying a Lyapunov-Krasovskii functional and linear matrix inequalities, a method of the integrated event-triggered H_&#x221E; filter performance analysis and designing is developed so that the overall filtering error system concerned to be asymptotically stable with a given disturbance attenuation level. A simulation is finally given to show these effective methods in this paper.