Research on Innovation Ability of Industrial Clusters Based On the Fuzzy Comprehensive Evaluation Method ——In Case Of Si Chuan Software Industry Cluster

This paper was first based on the introduction of the fuzzy comprehensive evaluation method and the index system of innovation ability of industrial clusters, and apply the fuzzy comprehensive evaluation method to the cluster\u27s innovation capability for the scientific evaluation, then do the practical situation on the Sichuan Cheng du software industry cluster, obtaining the result is consistent with the practical situation. Therefore, using the fuzzy analytic hierarchy process can not only be on different clusters for horizontal comparison analysis, but also on different periods of the same cluster of longitudinal analysis, so as to clear the superiority and the insufficiency of clusters in the innovation, this method are meaningful for the evaluation of cluster\u27s innovation capability

Coupled Physics-informed Neural Networks for Inferring Solutions of Partial Differential Equations with Unknown Source Terms

Physics-informed neural networks (PINNs) provide a transformative development for approximating the solutions to partial differential equations (PDEs). This work proposes a coupled physics-informed neural network (C-PINN) for the nonhomogeneous PDEs with unknown dynamical source terms, which is used to describe the systems with external forces and cannot be well approximated by the existing PINNs. In our method, two neural networks, NetU and NetG, are proposed. NetU is constructed to generate a quasi-solution satisfying PDEs under study. NetG is used to regularize the training of NetU. Then, the two networks are integrated into a data-physics-hybrid cost function. Finally, we propose a hierarchical training strategy to optimize and couple the two networks. The performance of C-PINN is proved by approximating several classical PDEs

Motion Control of Two Mobile Robots under Allowable Collisions

This letter investigates the motion control problem of two mobile robots under allowable collisions. Here, the allowable collisions mean that the collisions do not damage the mobile robots. The occurrence of the collisions is discussed and the effects of the collisions on the mobile robots are analyzed to develop a hybrid model of each mobile robot under allowable collisions. Based on the effects of the collisions, we show the necessity of redesigning the motion control strategy for mobile robots. Furthermore, impulsive control techniques are applied to redesign the motion control strategy to guarantee the task accomplishment for each mobile robot. Finally, an example is used to illustrate the redesigned motion control strategy.Comment: 8 pages, 5 figure