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Go to Editorial ManagerFormation control is a critical task in the coordination of multi-mobile robot systems operating in structured environments with limited local knowledge and low-cost hardware. Achieving reliable formations requires effective localization, path planning, and obstacle avoidance capabilities. This study presents a static strategy for forming polygon-shaped configurations using multiple mobile robots. The proposed strategy improves formation efficiency by employing a cluster matching algorithm instead of the conventional triangulation approach to complete the formation process. In addition, the visibility binary tree algorithm and the reciprocal orientation algorithm are integrated to enhance robot coordination and spatial awareness. Simulation results demonstrate that the proposed strategy achieves superior performance in multi-robot formation tasks, offering improved efficiency and robustness compared with traditional triangulation-based methods.
The excitation and governing control of generator play an important role in improving the dynamic and transient stability of power system. Typically the excitation control and governing control are designed independently. This paper, presented Neuro-Fu;,.zy methods for the excitation and governing control . Neuro-Fuz.zy system is applied to generate two compensating signals to modify the controls dwing system disturbances. A single machine to infinite bus (SMIB) system is applied in simulation. The MATLAB SIMULIK and S-function technique is used to simulate the system and controllers