A system with multiple controllers and a multiple-model architecture is one of the most effective solutions for the real-time control of nonlinear systems. The employment of these structures necessitates the resolution of certain difficulties, such as selecting the optimal algorithm or switching control algorithms. Based on the concepts of auto-transfer, the paper provides a way for switching the numerous controller structures’ algorithms. This paper presents a real-time dynamic model and platform of a magnetic levitation system (Maglev). The method’s applicability was demonstrated by utilizing a real-time architecture with an RST controller mechanism and real. In conclusion, the software was implemented and demonstrated by using the LabVIEW platform in real-time, and the results reveal that this solution can stabilize the ball’s location and has strong disturbance rejection because of the multi-zone effect.

Real traffic situations are one of the most challenging scenarios for vehicle following systems, such as pedestrians can interfere unexpectedly or vehicles ahead with the small distance or a vehicle cuts into ego vehicle’s lane. In this framework, this paper proposes coordination between three modes, consisting of cruise control mode, follow mode, safe mode. In real-time applications, we develop a type of smart car for the subject robot to travel in the laboratory world and is to activate one of three modes to keep reference velocity or maintain desired distance or even stop to avoid collisions, switching thresholds based on the real distance is measured by measuring distance mounted on the robot. The subject robot is strictly analyzed in different driving situations corresponding to the two scenarios, providing encouraging results and demonstrated the autonomous traveling performance.