Energy-Efficient Speed Profile Optimization and Sliding Mode Speed Tracking for Metros
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Energy-Efficient Speed Profile Optimization and Sliding Mode Speed Tracking for Metros
Authors
Keywords
-
Journal
Energies
Volume 13, Issue 22, Pages 6093
Publisher
MDPI AG
Online
2020-11-23
DOI
10.3390/en13226093
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Design of auto disturbance rejection controller for train traction control system based on artificial bee colony algorithm
- (2020) Biao Wang et al. MEASUREMENT
- An observer-based adaptive control design for the maglev system
- (2020) Baris Bidikli TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- An Online Energy-Saving Driving Strategy for Metro Train Operation Based on the Model Predictive Control of Switched-Mode Dynamical Systems
- (2020) Fei Shang et al. Energies
- Railway collaborative ecodrive via dissension based switching nonlinear model predictive control
- (2019) Hafsa Farooqi et al. EUROPEAN JOURNAL OF CONTROL
- Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains
- (2019) Yuan Cao et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Energy-Efficient Driving Strategies for Multi-Train by Optimization and Update Speed Profiles Considering Transmission Losses of Regenerative Energy
- (2019) Chen et al. Energies
- Train operation optimization with adaptive differential evolution algorithm based on decomposition
- (2019) Di Liu et al. IEEJ Transactions on Electrical and Electronic Engineering
- High-Order Disturbance-Observer-Based Sliding Mode Control for Mobile Wheeled Inverted Pendulum Systems
- (2019) Jian Huang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Disturbance Observer-Based Robust Control and Its Applications: 35th Anniversary Overview
- (2019) Emre Sariyildiz et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- RBFNN-Based Adaptive Sliding Mode Control Design for Delayed Nonlinear Multilateral Telerobotic System With Cooperative Manipulation
- (2019) Zheng Chen et al. IEEE Transactions on Industrial Informatics
- Trajectory Tracking Control of AUVs via Adaptive Fast Nonsingular Integral Terminal Sliding Mode Control
- (2019) Lei Qiao et al. IEEE Transactions on Industrial Informatics
- An Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Robust Fault Tolerant Control of Robot Manipulators
- (2018) Mien Van et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Combined Speed and Current Terminal Sliding Mode Control With Nonlinear Disturbance Observer for PMSM Drive
- (2018) Xudong Liu et al. IEEE Access
- Research on the driving strategy of heavy-haul train based on improved genetic algorithm
- (2018) Youneng Huang et al. Advances in Mechanical Engineering
- A New Approach for Real Time Train Energy Efficiency Optimization
- (2018) Agostinho Rocha et al. Energies
- Adaptive Partial Train Speed Trajectory Optimization
- (2018) Zhaoxiang Tan et al. Energies
- Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and Machine Learning Algorithms
- (2018) Ruijun Cheng et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Distributed Adaptive Sliding Mode Control Strategy for Vehicle-Following Systems With Nonlinear Acceleration Uncertainties
- (2017) Xianggui Guo et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Neural adaptive fault-tolerant control for high-speed trains with input saturation and unknown disturbance
- (2017) Xue Lin et al. NEUROCOMPUTING
- Tracking of a moving ground target by a quadrotor using a backstepping approach based on a full state cascaded dynamics
- (2016) Chun Kiat Tan et al. APPLIED SOFT COMPUTING
- Energy Optimization for Train Operation Based on an Improved Ant Colony Optimization Methodology
- (2016) Youneng Huang et al. Energies
- Distributed Fault-Tolerant Control of Virtually and Physically Interconnected Systems With Application to High-Speed Trains Under Traction/Braking Failures
- (2016) Yujuan Wang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A Novel Dual Speed-Curve Optimization Based Approach for Energy-Saving Operation of High-Speed Trains
- (2016) Yongduan Song et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Driving strategy optimization for trains in subway systems
- (2016) Shuai Su et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
- A stochastic model for the integrated optimization on metro timetable and speed profile with uncertain train mass
- (2016) Xin Yang et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Online distributed cooperative model predictive control of energy-saving trajectory planning for multiple high-speed train movements
- (2016) Xihui Yan et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Artificial bee colony algorithm with variable search strategy for continuous optimization
- (2015) Mustafa Servet Kiran et al. INFORMATION SCIENCES
- Fault-Tolerant Adaptive Control of High-Speed Trains Under Traction/Braking Failures: A Virtual Parameter-Based Approach
- (2014) Yong-Duan Song et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- An energy-efficient scheduling and speed control approach for metro rail operations
- (2014) Xiang Li et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Single-Train Trajectory Optimization
- (2013) Shaofeng Lu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy
- (2013) Shuai Su et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Energy-Saving Automatic Train Regulation Using Dual Heuristic Programming
- (2012) Jih-Wen Sheu et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- The best-so-far selection in Artificial Bee Colony algorithm
- (2010) Anan Banharnsakun et al. APPLIED SOFT COMPUTING
- Design of Optimal Coasting Speed for MRT Systems Using ANN Models
- (2009) Hui-Jen Chuang et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started