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A new field of weapons—smart munitions

Yang Shaoqing

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 4-7

Abstract: futrue development of a new field of weapons──smart munitions, and some suggestions on developing smart munition

Keywords： smart munition     sensor fuzed munition     terminally guided munition     guided munition     trajectory correctedmunition    

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Simulation on Hitting Probability of MMW Remote ControllingTrajectory Correction Munition Intercepting

Hu Ronglin,Li Xingguo

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 65-70

Abstract:

The basic principle of millimeter wave remote controlling munitions (MMW-RCTCM) is demonstrated in the introduction.  Then the concept of correctable intercepting flow is proposed.  And the anti-air shooting model of millimeter wave remote controlling munitions (MMW-RCTCM) intercepting mobile anti-ship missile (MACM) is established in section 2 and 3.  Subsequently,  the hitting probability of single MMW-RCTCM vs.  single MACM as well as MMW-RCTCM flow vs.  single MACM and MMW-RCTCM flow vs.  MACM flow are analyzedin detail.  The probabilities of the above are simulated based on the parameters of the two sides of attacking and intercepting in the 5th section.  It is illustrated that comparing with the non-controlling munitions,  the efficiency of MMW-RCTCM is increased remarkably.  At the last,  it is concluded that the MMW-RCTCM can resist the attacking of saturate flow; ultra-sonic MACM.

Keywords： MMW     remote controlling     trajectory correction munitions     correctable intercepting flow     anti-ship missile    

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Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0706-2

Abstract: Multiobjective trajectory planning is still face challenges due to certain practical requirements andIn this paper, a multiobjective trajectory optimization approach that sets energy consumption, executionthat the proposed approach can provide the high-quality Pareto optimal solutions and outperforms other trajectory

Keywords： trajectory planning     electro-hydraulic shovel     cubic polynomial S-curve     multiobjective optimization    

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Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Frontiers of Structural and Civil Engineering   Pages 994-1010 doi: 10.1007/s11709-023-0942-5

Abstract: The moving trajectory of the pipe-jacking machine (PJM), which primarily determines the end quality ofmodels to support drivers in performing rectifications in advance can effectively avoid considerable trajectoryrecurrent unit (GRU)-based deep learning framework is proposed herein to dynamically predict the moving trajectoryThe results show that the proposed framework can dynamically and precisely predict the PJM moving trajectoryThe proposed framework is expected to provide an effective decision support for moving trajectory control

Keywords： dynamic prediction     moving trajectory     pipe jacking     GRU     deep learning    

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Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Engineering doi: 10.1016/j.eng.2023.07.018

Abstract: The forward design of trajectory planning strategies requires preset trajectory optimization functionstime-varying dynamic characteristics of obstacle avoidance scenarios, it is necessary to design numerous trajectoryTherefore, an anthropomorphic obstacle-avoidance trajectory planning strategy for adaptive driving scenariosSubsequently, a trajectory expectation feature-matching algorithm is proposed that uses maximum entropyThe results show that the strategy can adjust the weight distribution of the trajectory optimization

Keywords： Obstacle avoidance trajectory planning     Inverse reinforcement theory     Anthropomorphic     Adaptive driving    

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: Train speed trajectory optimization is a significant issue in railway traffic systems, and it plays aTo appropriately characterize the uncertainties and generate a robust speed trajectory, this study specifically

Keywords： train speed trajectory optimization     railway operation     stochastic programming    

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autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2

Abstract: In the field of autonomous excavation, environmental perception and excavation trajectory planning areBased on optimal trajectory command, the UES performs autonomous excavation.On the basis of reconstructed surface, the PTP trajectory planning method rapidly obtains a reasonablemining trajectory with high fill factor and mining efficiency.Compared with the common excavation trajectory planning approaches, the proposed method tends to be more

Keywords： autonomous excavation     unmanned electric shovel     point cloud     excavation trajectory planning    

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General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,

Engineering doi: 10.1016/j.eng.2023.10.001

Abstract: This study presents a general optimal trajectory planning (GOTP) framework for autonomous vehicles (AVsFurthermore, in selecting the optimal trajectory, we develop a unified and auto-tune objective function

Keywords： Autonomous vehicle     Trajectory planning     Multi-performance objectives     Principle of least action    

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Longitudinal and lateral slip control of autonomous wheeled mobile robot for trajectory tracking

Hamza KHAN,Jamshed IQBAL,Khelifa BAIZID,Teresa ZIELINSKA

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 166-172 doi: 10.1631/FITEE.1400183

Abstract: The robot successfully followed the desired circular trajectory in the presence of wheel slippage and

Keywords： Robot modeling     Robot navigation     Slip and skid control     Wheeled mobile robots    

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Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 154-167 doi: 10.1007/s11465-015-0336-z

Abstract: intelligence-based framework which can be used for the real-time estimation of optimum battery state-of-charge (SOC) trajectoryThe estimated SOC trajectory can be then employed for an intelligent power management to significantlyThe devised intelligent SOC trajectory builder takes advantage of the upcoming route information previewtool, AIA and ANN, will result in a powerful framework which can generate a near global optimum SOC trajectoryadvantage of intelligent approaches, it is possible to design a computationally efficient and powerful SOC trajectory

Keywords： trip information preview     intelligent transportation     state-of-charge trajectory builder     immune systems    

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Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

M. NAZEMIZADEH, H. N. RAHIMI, K. AMINI KHOIY

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 23-28 doi: 10.1007/s11465-012-0304-9

Abstract:

This paper presents an optimal control strategy for optimal trajectory planning of mobile robots by

Keywords： mobile robot     trajectory planning     nonlinear dynamic     optimal control    

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Design of Trajectory Tracking Controller Based on Vehicle Dynamics

Chen Yang,Liu Daxue,He Han’gen,Dai Bin

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 68-73

Abstract:

Trajectory tracking is one of the core problem in navigation with mobile In this article,  feedback linearization method is used in the design of trajectory tracking

Keywords： trajectory tracking     feedback linearization     navigation    

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Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Pei-qiu Huang, Yong Wang, Ke-zhi Wang,pqhuang@csu.edu.cn,ywang@csu.edu.cn,kezhi.wang@northumbria.ac.uk

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000315

Abstract: We study a system assisted by (UAVs), where the UAVs act as edge servers to provide computing services for Internet of Things devices. Our goal is to minimize the energy consumption of this system by planning the trajectories of UAVs. This problem is difficult to address because when planning the trajectories, we need to consider not only the order of stop points (SPs), but also their deployment (including the number and locations) and the association between UAVs and SPs. To tackle this problem, we present an energy-efficient algorithm (TPA) which comprises three phases. In the first phase, a algorithm with a variable population size is adopted to update the number and locations of SPs at the same time. In the second phase, the
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A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving Article

Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong

Engineering 2022, Volume 19, Issue 12,   Pages 228-239 doi: 10.1016/j.eng.2021.12.020

Abstract:

In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of surroundingIn this paper, we propose an integrated probabilistic architecture for long-term vehicle trajectory prediction, which consists of a driving inference model (DIM) and a trajectory prediction model (TPM).The superior performance on the task of long-term trajectory prediction is presented and verified by

Keywords： Autonomous driving     Dynamic Bayesian network     Driving intention recognition     Gaussian process     Vehicle trajectory    

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Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Article

Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen

Engineering 2021, Volume 7, Issue 4,   Pages 495-506 doi: 10.1016/j.eng.2021.01.009

Abstract:

Aircraft ground movement plays a key role in improving airport efficiency, as it acts as a link to all other ground operations. Finding novel approaches to coordinate the movements of a fleet of aircraft at an airport in order to improve system resilience to disruptions with increasing autonomy is at the center of many key studies for airport airside operations. Moreover, autonomous taxiing is envisioned as a key component in future digitalized airports. However, state-of-the-art routing and scheduling algorithms for airport ground movements do not consider high-fidelity aircraft models at both the proactive and reactive planning phases. The majority of such algorithms do not actively seek to optimize fuel efficiency and reduce harmful greenhouse gas emissions. This paper proposes a new approach for generating efficient four-dimensional trajectories (4DTs) on the basis of a high-fidelity aircraft model and gainscheduling control strategy. Working in conjunction with a routing and scheduling algorithm that determines the taxi route, waypoints, and time deadlines, the proposed approach generates fuel-efficient 4DTs in real time, while respecting operational constraints. The proposed approach can be used in two contexts: ① as a reactive decision support tool to generate new trajectories that can resolve unprecedented events; and ② as an autopilot system for both partial and fully autonomous taxiing. The proposed methodology is realistic and simple to implement. Moreover, simulation studies show that the proposed approach is capable of providing an up to 11% reduction in the fuel consumed during the taxiing of a large Boeing 747 jumbo jet.

Keywords： Aircraft model     Intelligent taxiing     Optimization     Four-dimensional trajectory    

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Title Author Date Type Operation

A new field of weapons—smart munitions

Yang Shaoqing

Journal Article

Simulation on Hitting Probability of MMW Remote ControllingTrajectory Correction Munition Intercepting

Hu Ronglin,Li Xingguo

Journal Article

Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Journal Article

Dynamic prediction of moving trajectory in pipe jacking: GRU-based deep learning framework

Journal Article

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based

Jian Wu,Yang Yan,Yulong Liu,Yahui Liu,

Journal Article

Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Journal Article

autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory

Journal Article

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,

Journal Article

Longitudinal and lateral slip control of autonomous wheeled mobile robot for trajectory tracking

Hamza KHAN,Jamshed IQBAL,Khelifa BAIZID,Teresa ZIELINSKA

Journal Article

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Journal Article

Trajectory planning of mobile robots using indirect solution of optimal control method in generalized

M. NAZEMIZADEH, H. N. RAHIMI, K. AMINI KHOIY

Journal Article

Design of Trajectory Tracking Controller Based on Vehicle Dynamics

Chen Yang,Liu Daxue,He Han’gen,Dai Bin

Journal Article

Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Pei-qiu Huang, Yong Wang, Ke-zhi Wang,pqhuang@csu.edu.cn,ywang@csu.edu.cn,kezhi.wang@northumbria.ac.uk

Journal Article

A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong

Journal Article

Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity

Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen

Journal Article