This paper presents a novel adaptive feedforward controller design for reset control systems. The combination of feedforward and reset feedback control promises high performance as the feedforward guarantees reference tracking, while the non-linear feedback element rejects disturbances. To overcome inevitable model mismatches, the feedforward controller adapts to increase precision in reference tracking. Where linear existing adaptive feedforward controllers do not guarantee convergence in the presence of reset, this work presents a novel adaptive law based on converging and diverging regions of adaptation to achieve good tracking. Experimental results demonstrate the claimed advantage of the novel method.

A novel signal control strategy for urban traffic networks, called ART-UTC (the abbreviated form of 'Adaptive Real-Time Urban Traffic Control') is introduced. We propose an efficient algorithm for ART-UTC to determine the green priority of different rights-of-way at each intersection. The proposed algorithm takes into account the queue length on each link, the waiting time of the first vehicle in the queue, and the incoming traffic flow to the link. We also propose a law to determine the green times of each traffic light based on the queue length on the link that is controlled by that traffic light. An advantage of ART-UTC is that due to the simple computations involved, it can be used for real-time urban traffic control. To evaluate ART-UTC, two different urban traffic networks are simulated within the urban traffic simulator SUMO. The performance of ART-UTC is compared to the performance of a fixed-time traffic controller based on Webster's formulas and a vehicle-actuated traffic controller. The results show that by using ART-UTC, the total travel time of the vehicles, the average queue length on the links in urban traffic networks, and the average waiting time of the first vehicles in the queues on the links of the traffic networks are reduced significantly in the majority of the cases compared with the fixed-time and the vehicle-actuated controllers.