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This paper is concerned with finite-time extended dissipative analysis and nonfragile control for a class of uncertain switched neutral systems with time delay, and the controller is assumed to have either additive or multiplicative form. By employing the average dwell-time and linear matrix inequality technique, sufficient conditions for finite-time boundedness of the switched neutral system are provided. Then finite-time extended dissipative performance for the switched neutral system is addressed, where we can solve H∞, L2-L∞, Passivity, and (Q,S,R)-dissipativity performance in a unified framework based on the concept of extended dissipative. Furthermore, nonfragile state feedback controllers are proposed to guarantee that the closed-loop system is finite-time bounded with extended dissipative performance. Finally, numerical examples are given to demonstrate the effectiveness of the proposed method.

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This study investigates the characteristics of helical abrasive brush filaments and aims at developing a mobile robot system to perform rust removal and polishing tasks. A finite element model that can analyze the filament deformation and force characteristics is presented. From the model, the relationships between the brushing force and other operating parameters can be predicted, which are essential for developing an autonomous brushing control system. The modeled results are compared with experimental results carried out on a specifically designed test rig, leading to considerably well converged comparisons. Many later studies can be carried out to develop optimal brush control strategies for autonomous rust removal or polishing tasks.

This paper presents an in-depth study of the helical grinding brush force characteristics aiming at developing a mobile robot system to perform rust removal and other surface processing tasks. Based on an off-line Finite Element model that can calculate brush filament deformation and force behaviors, a mathematical regression model has been developed to summarize brush force changes subjected to varying conditions into a series of mathematical equations. The predictions of the mathematical model are well converged with the Finite Element modeled results and the R-squared value is up to 0.95. The paper presents the model form and calibrated coefficients, which may provide an advantageous tool to predict the grinding brush force changes in real time and contribute well to an automatic grinding control application.