1,069 research outputs found
Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems
This paper proposes and develops a physics-inspired neural network (PiNN) for
learning the parameters of commercially implemented adaptive cruise control
(ACC) systems in automotive industry. To emulate the core functionality of
stock ACC systems, which have proprietary control logic and undisclosed
parameters, the constant time-headway policy (CTHP) is adopted. Leveraging the
multi-layer artificial neural networks as universal approximators, the
developed PiNN serves as a surrogate model for the longitudinal dynamics of
ACC-engaged vehicles, efficiently learning the unknown parameters of the CTHP.
The ability of the PiNN to infer the unknown ACC parameters is meticulous
evaluated using both synthetic and high-fidelity empirical data of space-gap
and relative velocity involving ACC-engaged vehicles in platoon formation. The
results have demonstrated the superior predictive ability of the proposed PiNN
in learning the unknown design parameters of stock ACC systems from different
car manufacturers. The set of ACC model parameters obtained from the PiNN
revealed that the stock ACC systems of the considered vehicles in three
experimental campaigns are neither nor string stable.Comment: 11 pages, 8 figures, 3 tables, submitted to IEEE-T-V
Distributed Event-Based State Estimation for Networked Systems: An LMI-Approach
In this work, a dynamic system is controlled by multiple sensor-actuator
agents, each of them commanding and observing parts of the system's input and
output. The different agents sporadically exchange data with each other via a
common bus network according to local event-triggering protocols. From these
data, each agent estimates the complete dynamic state of the system and uses
its estimate for feedback control. We propose a synthesis procedure for
designing the agents' state estimators and the event triggering thresholds. The
resulting distributed and event-based control system is guaranteed to be stable
and to satisfy a predefined estimation performance criterion. The approach is
applied to the control of a vehicle platoon, where the method's trade-off
between performance and communication, and the scalability in the number of
agents is demonstrated.Comment: This is an extended version of an article to appear in the IEEE
Transactions on Automatic Control (additional parts in the Appendix
Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021
The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications such as hybrid and microgrid power systems based on the Energy Internet, blockchain technology and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above
A Survey on platoon-based vehicular cyber-physical systems
Vehicles on the road with some common interests can cooperatively form a platoon-based driving pattern, in which a vehicle follows another one and maintains a small and nearly constant distance to the preceding vehicle. It has been proved that, compared to driving individually, such a platoon-based driving pattern can significantly improve the road capacity and energy efficiency. Moreover, with the emerging vehicular adhoc network (VANET), the performance of platoon in terms of road capacity, safety and energy efficiency, etc., can be further improved. On the other hand, the physical dynamics of vehicles inside the platoon can also affect the performance of VANET. Such a complex system can be considered as a platoon-based vehicular cyber-physical system (VCPS), which has attracted significant attention recently. In this paper, we present a comprehensive survey on platoon-based VCPS. We first review the related work of platoon-based VCPS. We then introduce two elementary techniques involved in platoon-based VCPS: the vehicular networking architecture and standards, and traffic dynamics, respectively. We further discuss the fundamental issues in platoon-based VCPS, including vehicle platooning/clustering, cooperative adaptive cruise control (CACC), platoon-based vehicular communications, etc., and all of which are characterized by the tight coupled relationship between traffic dynamics and VANET behaviors. Since system verification is critical to VCPS development, we also give an overview of VCPS simulation tools. Finally, we share our view on some open issues that may lead to new research directions
- …