Decentralized Adaptive Sliding Mode Control of Traffic Networks using Multi-Phase Switching Fourier Estimation

In this paper, a decentralized adaptive sliding mode controller based on multi-phase switching Fourier estimation is applied to a traffic network. In each phase, there are different highway conditions, uncertainties, disturbances, and interconnection effects. Therefore, a different Fourier estimation is required, accordingly. This method maintains a high performance in spite of considerable phase changes. Besides, it increases the robustness of the controller and improves the flexibility to different highway conditions in different phases. This method is applied to the control of a single link highway. Simulation results confirm the validity of the analytical work