A5084390339- Robotic Mechanisms and Dynamics
- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- Traffic control and management
- Robot Manipulation and Learning
- Piezoelectric Actuators and Control
- Autonomous Vehicle Technology and Safety
- Soft Robotics and Applications
- Iterative Learning Control Systems
- Manufacturing Process and Optimization
- Robotic Path Planning Algorithms
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Vehicular Ad Hoc Networks (VANETs)
- Adaptive Control of Nonlinear Systems
- Modular Robots and Swarm Intelligence
- Industrial Technology and Control Systems
- Dynamics and Control of Mechanical Systems
- Real-time simulation and control systems
- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Mechanical Engineering and Vibrations Research
- Vehicle Dynamics and Control Systems
- Advanced Numerical Analysis Techniques
- Advanced Control Systems Optimization
Shanghai Jiao Tong University
2016-2025
Tsinghua University
2001-2025
Lanzhou University
2025
Lanzhou University Second Hospital
2025
Chongqing University
2015-2024
China Academy of Space Technology
2014-2024
Chongqing University of Arts and Sciences
2024
China Academy of Launch Vehicle Technology
2017-2024
Beijing Information Science & Technology University
2024
State Key Laboratory of Mechanical System and Vibration
2012-2023
The platooning of connected and automated vehicles (CAVs) is expected to have a transformative impact on road transportation, e.g., enhancing highway safety, improving traffic utility, reducing fuel consumption. Requiring only local information, distributed control schemes are scalable approaches the coordination multiple CAVs without using centralized communication computation. From perspective multi-agent consensus control, this paper introduces decomposition framework model, analyze,...
Platoon formation of highway vehicles has the potential to significantly enhance road safety, improve utility, and increase traffic efficiency. However, various uncertainties disturbances that are present in real‐world driving conditions make implementation vehicular platoon a challenging problem. This study presents an H‐infinity control method for heterogeneous with uncertain vehicle dynamics uniform communication delay. The requirements string stability, robustness tracking performance...
In a platoon control system, fixed and symmetrical topology is quite rare because of adverse communication environments continuously moving vehicles. This paper presents distributed adaptive sliding mode scheme for more realistic vehicular platooning. this scheme, mechanism adopted to handle parametric uncertainties, while structural decomposition method deals with the coupling interaction topology. A numerical algorithm based on linear matrix inequality developed place poles motion dynamics...
The platooning of automated vehicles has the potential to significantly benefit road traffic. This paper presents a distributed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{H}_{\mathrm {\infty }}$ </tex-math></inline-formula> control method for multi-vehicle systems with identical dynamic controllers and rigid formation geometry. After compensating powertrain nonlinearity, node dynamics in platoon...
Platooning of autonomous vehicles has the potential to significantly benefit road traffic. This paper presents a new robust acceleration tracking control vehicle longitudinal dynamics toward platoon-level automation. Based on multiple-model switching structure, this design divides large uncertainties into small and, accordingly, develops multiple controllers for set. The system automatically selects most appropriate candidate controller loop, according errors between current and models....
In this paper, we propose a new scenario generation algorithm called Combinatorial Testing Based on Complexity (CTBC) based both combinatorial testing (CT) method and Test Matrix (TM) technique for intelligent driving systems. To guide the procedure in evaluate validity of generated scenarios, further concept complexity test scenario. CTBC considers overall cost testing, reasonable balance between them can be found by using Bayesian optimization account black box property CTBC. The...
As natural agonists of the stimulator interferon genes (STING) protein, cyclic dinucleotides (CDNs) can activate STING pathway, leading to expression type I interferons and various cytokines. Efficient activation pathway in antigen-presenting cells (APCs) tumor is crucial for antitumor immune response. Tumor-derived exosomes be effectively internalized by APCs have excellent potential deliver CDNs cytoplasm cells. Here, we leverage as a delivery platform, designing an EXOTLR1/2-STING loaded...
In this study, a new robust finite-time stability control approach for robot systems is developed based on Lyapunov principle and proved with backstepping method. The corresponding analysis presented to lay foundation theoretical understanding the underlying design issues as well safe operation real systems. A case study of two-link model demonstrate effectiveness proposed approach.
Lidar is an important sensor of the autonomous driving system to detect environmental obstacles, but spatial distribution its point cloud non-uniform because scanning mechanism. For adaption this non-uniformity, a dynamic clustering algorithm proposed based on analysis along different directions. The adopts elliptical function describe neighbor, whose semi-minor and semi-major are adjusted dynamically according position core point. Base relationship parameters, they further designed...
The autonomous vehicles (AVs) need to share the driving environment with human (HDVs) on expressway in future. non-humanlike lane changing (LC) behavior of AVs can mislead drivers, which brings potential risks. Stronger humanlike ability requires a more complex algorithm. However, requirement on-board vehicle computation resources limits LC algorithms. In this context, considering environmental risks, driver speed requirements and focus shifting process, paper proposes new type algorithm...
Fault detection and diagnosis (FDD) of heating, ventilating, air conditioning (HVAC) systems can help to improve the energy saving in building systems. However, most data-driven trained FDD models have limited generalizability only be applied specific The diversity HVAC high cost data acquisition present challenges for practical application FDD. Transfer learning technology employed mitigate this problem by training a model on with sufficient then transfer it other data. In study, novel...
At the Royal Society meeting in 2023, we have mainly presented our lunar orbit array concept called DSL, and also briefly introduced a of surface array, LARAF. As DSL had been before, this article, introduce We propose to build an far side Moon, with master station which handles data collection processing, 20 stations maximum baseline 10 km. Each consists 12 membrane antenna units, are connected by power line optical fibre. The will make interferometric observation 0.1–50 MHz band during...
In this paper, a methodology of automatic generation test scenarios for intelligent driving systems is proposed, which based on the combination matrix (TM) and combinatorial testing (CT) methods together. With hierarchical model influence factors, an evaluation index scenario complexity designed. Then improved CT algorithm proposed to make balance between efficiency, condition coverage, complexity. This method can ensure required combinational coverage at same time increase overall generated...
The testing of the intelligent driving systems is faced with challenges efficiency because real traffic scenarios are infinite, uncontrollable and difficult to be precisely defined. Based on complexity index scenario that designed measure test effect indirectly, a new combinational algorithm cases generation proposed make balance among multiple objects including coverage, number effect. Then joint simulation platform based Matlab, PreScan Carsim built up realize construction 3D environment,...
To simultaneously deal with the uncertain interaction topology, parametric errors and external disturbances, this paper proposes a new coordinated control scheme for platoon composed of nonlinear heterogeneous automated vehicles (AVs). In scheme, different perturbations are dealt separately to reduce contraction among them by using sliding mode theory. Considering individual dynamics, distributed controller including both lateral longitudinal motions is designed each AV online estimation...