Panpan Yang

ORCID: 0000-0002-4450-9453
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About
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Research Areas
  • Traffic control and management
  • Distributed Control Multi-Agent Systems
  • Adaptive Control of Nonlinear Systems
  • Vehicular Ad Hoc Networks (VANETs)
  • Spectroscopy and Chemometric Analyses
  • Vehicle Dynamics and Control Systems
  • Transportation Planning and Optimization
  • Autonomous Vehicle Technology and Safety
  • Traffic Prediction and Management Techniques
  • Modular Robots and Swarm Intelligence
  • Neural Networks Stability and Synchronization
  • UAV Applications and Optimization
  • Remote Sensing and Land Use
  • Stability and Control of Uncertain Systems
  • Guidance and Control Systems
  • Opportunistic and Delay-Tolerant Networks
  • Electric and Hybrid Vehicle Technologies
  • Molecular Communication and Nanonetworks
  • Iterative Learning Control Systems
  • Nonlinear Dynamics and Pattern Formation
  • Adaptive Dynamic Programming Control
  • Water Quality Monitoring and Analysis
  • Petri Nets in System Modeling
  • Fault Detection and Control Systems
  • Elevator Systems and Control

Chang'an University
2010-2024

Anhui University
2024

Southwest Forestry University
2019-2023

Yunnan Investment Group (China)
2019

Northwestern Polytechnical University
2012-2016

Northwestern University
2009

10.1007/s12555-021-0920-4 article EN International Journal of Control Automation and Systems 2023-03-16

10.1007/s12555-017-0600-6 article EN International Journal of Control Automation and Systems 2019-02-22

This paper investigates the output feedback control problem of a vehicle platoon with constant time headway (CTH) policy, where each can communicate its consecutive vehicles. Firstly, based on integrated-sliding-mode (ISM) technique, neural adaptive sliding-mode algorithm is developed to ensure that moving CTH policy and full state measurement. Then, further decrease measurement complexity reduce communication load, an protocol proposed only position information, in which higher order...

10.3390/en10111906 article EN cc-by Energies 2017-11-20

In this paper, the vehicle platoon control problems for a group of heterogeneous vehicles are investigated, where multiple constraints and communication delays among taken into consideration. A distributed model predictive (DMPC) scheme is proposed to drive desired platoon. DMPC framework, constraints, including state jerk employed describe practical characteristics time-varying bounded. schemes based on techniques. Furthermore, feasibility stability system strictly analyzed. Finally,...

10.1155/2020/4657584 article EN cc-by Journal of Advanced Transportation 2020-06-15

In order to enhance the performance of pure electric vehicle (PEV), dual-energy source storage system, which is composed battery and Ultracapacitor, established. By employing fuzzy logic control theory, energy management strategy presented according requirement for PEV. It can split power between ultracapacitor in a more reasonable way satisfy demands better performance. The result shows that system with optimal effective than threshold reducing current battery, enhancing start-up...

10.1109/icicip.2010.5564185 article EN International Conference on Intelligent Control and Information Processing 2010-08-01

We investigate the vehicle platoon problems, where actuator saturation and absent velocity measurement are taken into consideration. Firstly, a novel algorithm, smooth function is introduced to deal with sharp corner of input signals, proposed for group vehicles by using consensus theory. Secondly, applying an auxiliary system followers estimate velocities, control strategy designed via adaptive approach. Finally, numerical simulations provided illustrate effectiveness approaches.

10.1155/2017/8023018 article EN cc-by Journal of Advanced Transportation 2017-01-01

Due to the limited bandwidth and transmission congestion of vehicle platoon's communication, it is inevitable induce time delay, which significantly degrades control performance platoon, even resulting in instability. This paper focuses on analyzing internal stability under generic communication topologies presents a method computing exact delay margin (ETDM). The proposed can offer necessary sufficient condition with no conservatism. Firstly, reduce analytical complexity computational...

10.1016/j.jtte.2022.06.010 article EN cc-by-nc-nd Journal of Traffic and Transportation Engineering (English Edition) 2024-07-31

In consideration of the uncertain and time-varying driving resistance in vehicle dynamics, a distributed adaptive sliding model control protocol is proposed platoon control. Firstly, resistance, which relevant to mass, weather conditions, deadweight, motorcycle type etc, analyzed established. Then, coupled mode surface designed link inter-connected vehicles an method adopted identify estimate variations coefficients. After that, algorithm for with proposed, realizes stable presence...

10.23919/chicc.2017.8028855 article EN 2017-07-01

This paper presents a bio-inspired search behavior model for navigating using geomagnetic information in unknown environments. A multi-objective navigation framework combining random walk movement and stress evolution algorithm is applied to the navigation. Firstly, motivated by animal behavior, we generalize process as convergence of multi-parameter from present point values object values. Then, adopt represent moving vehicle. In addition, used obtain appropriate direction, which realizes...

10.1109/robio.2013.6739819 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2013-12-01

This paper studies the longitudinal control of vehicle platoon with packet losses. A Bernoulli probability sequence is firstly used to characterize random losses phenomenon network, by which one step previous data for occurrence transmission failure. Then, protocol designed based on consensus theory. Through linear matrix inequalities (LMIs) and stochastic analysis techniques, sufficient conditions are derived guarantee mean square stability platoon. Simulation results provided verify...

10.23919/chicc.2018.8483811 article EN 2018-07-01

This paper investigates the vehicle platoon control problems with both velocity constraints and input saturation. Firstly, radial basis function neural networks (RBF NNs) are employed to approximate unknown driving resistance of a vehicle’s dynamic model. Then, bidirectional topology, where vehicles can only communicate their direct preceding following neighbors, is used depict relationship among in platoon. On this basis, adaptive sliding‐mode algorithm an anti‐windup compensation technique...

10.1155/2018/1696851 article EN cc-by Complexity 2018-01-01

A nonnegative least squares classifier was proposed in this paper to classify near infrared spectral data. The method used data of training samples make up a dictionary the sparse representation. By adopting coding algorithm, test would be expressed via sparsest linear combinations dictionary. regression residual sample each class computed, and finally it assigned with minimum residual. compared other classifying approaches, including well-performing principal component analysis–linear...

10.1177/0967033518762617 article EN Journal of Near Infrared Spectroscopy 2018-03-28

Vehicle platoon has been identified as a promising way in enhancing driving safety, decreasing traffic congestion and reducing energy consumption. However, the unreliable wireless communication between vehicles may degrade performance stability of platoon. In this paper, vehicle system presence time delay packet losses is considered. Based on criterion consensus for system, control algorithm proposed solving problem bounded time-varying with Bernoulli distribution. Then, sufficient condition...

10.1109/cac.2018.8623770 article EN 2018-11-01

A hand-held near infrared (NIR) spectroscopy device is much more convenient than a traditional desktop NIR instrument.Thus, it suitable for the practical application.An automatic and rapid tool grading tobacco leaves on spot using digital light processing (DLP)-based proposed in this paper.Firstly, spectral data of samples scanned with directly from without any preparation procedures.Then, training model different classes built class each test sample predicted by sparse representation...

10.21577/0103-5053.20190105 article EN cc-by Journal of the Brazilian Chemical Society 2019-01-01
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