Search results for: Weirong Liu

Items from 1 to 20 out of 73 results

article

Adaptive fractional‐order unscented Kalman filter with unknown noise statistics

Kui Xiao, Wentao Yu, Feng Qu, Jianfang Lian, more

International Journal of Adaptive Control and Signal Processing > 36 > 10 > 2519 - 2536

This article deals with state estimation of complex nonlinear discrete fractional‐order systems with unknown noise statistics by means of an adaptive fractional‐order Unscented Kalman filter (AFUKF). Firstly, in order to alleviate the communication burden of fractional‐order Unscented Kalman filter, short‐term memory effect is utilized to decide an appropriate memory length. Then aiming at the problem...

article

An Energy-Based Nonlinear Pressure Observer for Fast and Precise Braking Force Control of the ECP Brake

Yingze Yang, Lu Xiong, Weirong Liu, Kai Gao, more

International Journal of Precision Engineering and Manufacturing > 2018 > 19 > 10 > 1437-1445

The inconsistent braking force will result in collision compacts between adjacent freight cars of heavy haul train, which utilizes ECP as brake system. Moreover, the rigid connection mode aggravates the negative effect. In practical applications, the brake pipe (BP) pressure sensor is used as the feedback in the closed loop brake force control of the ECP brake, but there is no sensor in the brake...

article

Enhanced Sliding Mode Control and Online Estimation of Optimal Slip Ratio for Railway Vehicle Braking Systems

Jianfeng Liu, Qing Peng, Zhiwu Huang, Weirong Liu, more

International Journal of Precision Engineering and Manufacturing > 2018 > 19 > 5 > 655-664

This paper proposes an optimal anti-locking control scheme so as to improve the braking performance of railway vehicles. The controlling effect of sliding mode control is improved, and the optimal slip ratio is achieved by extreme seeking algorithm. Firstly, a substitute function for the conventional sign function is proposed. Secondly, a closed loop observer for braking systems is used to enhance...

article

Image sparse representation with local ARMA and nonlocal self-similarity regularizations for super-resolution

Weirong Liu, Chaopeng Zhang, Jie Liu, Chaorong Liu

Optics Communications > 2017 > 404 > C > 155-162

Since the single image super-resolution (SR) is an extremely ill posed problem, we introduce a novel auto-regressive moving average (ARMA) model-based regularization term into the spare representation-based framework to deal with it in this paper. In our framework, we have a dual regularization. Firstly, we use the ARMA models trained from external samples to establish a regularization term. ARMA...

chapter

Robust and accurate state-of-charge estimation for lithium-ion batteries using generalized extended state observer

Yu Song, Weirong Liu, Heng Li, Yanhui Zhou, more

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) > 2146 - 2151

2017 IEEE International Conference on Systems, Man and Cybernetics (SMC)

With the wide application of Lithium-ion (Li-ion) batteries in electric vehicles and unmanned aerial vehicles (UAVs), it is becoming more important and urgent to estimate the battery state to extend the operation range of electric vehicles or UAVs. Existing state of charge (SOC) estimation methods are highly model-based, which are difficult to be implemented in different scenarios. In this paper,...

article

Distributed Cooperative Reinforcement Learning-Based Traffic Signal Control That Integrates V2X Networks’ Dynamic Clustering

Weirong Liu, Gaorong Qin, Yun He, Fei Jiang

IEEE Transactions on Vehicular Technology > 2017 > 66 > 10 > 8667 - 8681

With the acceleration of urbanization in the world, urban traffic congestion has become an urgent challenge in most cities. Adaptive traffic signal control is the most approved control method to solve the problem, and accurate real-time traffic information is critical to this solution. This paper presents distributed cooperative reinforcement learning-based traffic control that integrates V2X networks’...

chapter

A lifetime optimization mobile data gathering strategy with adaptive compressive sensing in WSN

Xiaoyong Zhang, Qianqian Zhang, Jun Peng, Yeru Zhao, more

2017 36th Chinese Control Conference (CCC) > 8970 - 8975

2017 36th Chinese Control Conference (CCC)

Wireless sensor network is an important component of Internet of Things. With the expansion of the network scale, sensor nodes with limited hardware resources and energy supply cannot meet the large-scale transmission and processing of vast amounts of information. Compressive sensing is introduced to improve the energy efficiency of data transmission. In this paper, a mobile data gathering strategy...

chapter

Optimal operation of high-speed train using hybrid model predictive control

Zheng Xu, Zhiwu Huang, Kai Gao, Shuo Li, more

2017 29th Chinese Control And Decision Conference (CCDC) > 3642 - 3647

2017 29th Chinese Control And Decision Conference (CCDC)

The train operation process is highly nonlinear and has multiple constraints and objectives, which lead to higher requirements for the automatic train operation (ATO) system of high-speed train. In this paper, a hybrid Model Predictive Control (MPC) framework is proposed for the controller design of the ATO system. Firstly, a piecewise linear system with state and input constraints is constructed...

chapter

A coalitional game based mechanism for resource sharing in geo-distributed mobile cloud computing

Yeru Zhao, Zhiwu Huang, Xiaoyong Zhang, Weirong Liu, more

2017 29th Chinese Control And Decision Conference (CCDC) > 3758 - 3763

2017 29th Chinese Control And Decision Conference (CCDC)

Geo-distributed mobile cloud computing takes location information into consideration in mobile cloud computing. Users can access cloud resources that are geographically close to their mobile devices in Geo-distributed mobile cloud computing to reduce communication delay. Considering the uncertainty requirement of mobile users, in this paper, we focus on resource sharing through cooperation among cloud...

chapter

An EMPC based active control for pneumatic pantograph system using ON/OFF valves

Linzhou Fu, Jianfeng Liu, Weirong Liu, Zhiwu Huang, more

2017 29th Chinese Control And Decision Conference (CCDC) > 2184 - 2189

2017 29th Chinese Control And Decision Conference (CCDC)

The Pantograph-Catenary system(PAC) is the most crucial and vulnerable part in the high-speed train. During the high-speed movement of locomotive, the conventional passive control would cause various malfunction of the PAC system. Because the passive control does not have sufficient ability to avoid the dynamic variation of the contact force between carbon-plate and catenary wire. Therefore, this...

chapter

An adaptive energy allocation strategy for battery/supercapacitor hybrid energy storage system

Xiaoyong Zhang, Yuanjun Chen, Yanhui Zhou, Zheng Xu, more

2017 29th Chinese Control And Decision Conference (CCDC) > 7007 - 7012

2017 29th Chinese Control And Decision Conference (CCDC)

Battery/supercapacitor hybrid energy storage system is widely used in renewable energy grid since its excellent power and energy performances. However, the load and grid output power may fluctuate drastically, resulting in the dc bus voltage rise or fall sharply. The power demand is composed of both high-frequency and low-frequency component that brings some difficulties to energy distribution. Therefore,...

chapter

A Hybrid Particle Swarm Ant Colony Based Resource Reservation for Geo-Distributed Cloud Service

Yazhen Song, Jun Peng, Kaiyang Liu, Fu Jiang, more

2016 IEEE Global Communications Conference (GLOBECOM) > 1 - 6

GLOBECOM 2016 - 2016 IEEE Global Communications Conference

In cloud market, cloud providers offer diverse service options, including on-demand instances and reserved instances. Generally reserved instance price is cheaper than on-demand instance, but excessive reservation may result in high capacity underutilization. To improve resource utilization rate and reduce providers' service cost, a steady broker federation is necessary to propose. Broker federation...

article

Multi-device task offloading with time-constraints for energy efficiency in mobile cloud computing

Kaiyang Liu, Jun Peng, Heng Li, Xiaoyong Zhang, more

Future Generation Computer Systems > 2016 > 64 > C > 1-14

Nowadays, in order to deal with the increasingly complex applications on mobile devices, mobile cloud offloading techniques have been studied extensively to meet the ever-increasing energy requirements. In this study, an offloading decision method is investigated to minimize the energy consumption of mobile device with an acceptable time delay and communication quality. In general, mobile devices...

chapter

A Consensus Control with Application to Heavy Haul Trains Based on Switched Hierarchical LQR

Rui Zhang, Jun Peng, Weirong Liu, Bin Chen, more

2016 International Conference on Collaboration Technologies and Systems (CTS) > 342 - 348

2016 International Conference on Collaboration Technologies and Systems (CTS)

This paper investigates the consensus control problem of the train dynamical system consisting of a large number of vehicles, where the train system traction operation based on optimal switched hierarchical LQR is involved. Based on the hierarchical structure, the train dynamical system is constructed as a two-layer hierarchical network with the aid of regrouping methodology. The lower layer utilizes...

chapter

Sliding model control based on estimation of optimal slip ratio for railway wheel slide protection using extremum seeking

Qing Peng, Jianfeng Liu, Zhiwu Huang, Weirong Liu, more

2016 IEEE Energy Conversion Congress and Exposition (ECCE) > 1 - 6

2016 IEEE Energy Conversion Congress and Exposition (ECCE)

It is very important for railway vehicles to have a good braking performance to avoid the phenomenon of idling and skidding, which can be implemented by looking for and keeping an optimal slip ratio. The optimal slip ratio is a value existing in the creep zone of functions between friction coefficient and slip ratio corresponding to the maximum adhesion. Controller based on the sliding mode control...

chapter

A distributed ESO based cooperative current-sharing strategy for parallel charging systems under disturbances

Yanhui Zhou, Zhiwu Huang, Weirong Liu, Heng Li, more

2016 IEEE Energy Conversion Congress and Exposition (ECCE) > 1 - 7

2016 IEEE Energy Conversion Congress and Exposition (ECCE)

In this paper, a distributed extended state observer (ESO) based cooperative control is proposed to achieve current-sharing for parallel chargers under disturbances in energy storage type light rail vehicle systems. By treating the parallel charging system as a nonlinear and non-identical multiagent system, the current-sharing objective is converted as a distributed leader-follower consensus problem...

chapter

Optimal constrained ensemble control for inhomogeneous robots

Bin Chen, Zhiwu Huang, Weirong Liu, Rui Zhang, more

2016 American Control Conference (ACC) > 6265 - 6271

2016 American Control Conference (ACC)

In this paper, an optimal ensemble control under dynamic constraints is designed based on multidimensional radau pseudospectral method (MRPM) for inhomogeneous robots. The optimal control scheme exploits the uniform control inputs to steer the robots to the desired distribution while compensating the inhomogeneity of robots. A controllable ensemble system is constructed, in which velocity and acceleration...

chapter

Design of charging system based on three level structure for ultracapacitor light rail vehicles

ZhiHui Wu, WeiRong Liu, ZhiWu Huang, Rong Zhou, more

2016 35th Chinese Control Conference (CCC) > 8698 - 8703

2016 35th Chinese Control Conference (CCC)

Ultracapacitor has been utilized as main power in light rail vehicles due to its characteristic of high energy-efficiency and fast response. In real application, ultracapacitor needs to be charged rapidly by charging systems when the vehicle parks at platform. However, it is typically challenging to design a rapid high power charging system with good dynamic performance. In this paper, a novel topology...

article

A joint subcarrier selection and power allocation scheme using variational inequality in OFDM‐based cognitive relay networks

Jun Peng, Shuo Li, Chaoliang Zhu, Weirong Liu, more

Wireless Communications and Mobile Computing > 16 > 8 > 977 - 991

Introducing orthogonal frequency division multiplexing (OFDM) into cognitive radio (CR) can potentially increase the spectrum efficiency, but it also leads to further challenges for the resource allocation of CR networks. In OFDM‐based cognitive relay networks, two of the most significant research issues are subcarrier selection and power allocation. In this paper, a non‐cooperative game model is...

chapter

A combinatorial double auction based resource allocation mechanism with multiple rounds for geo-distributed data centers

Yeru Zhao, Zhiwu Huang, Weirong Liu, Jun Peng, more

2016 IEEE International Conference on Communications (ICC) > 1 - 6

ICC 2016 - 2016 IEEE International Conference on Communications

With the explosion of application of big data, it becomes inefficient and infeasible to process big data stream by using conventional data service infrastructure and management system. Cloud computing platform having multiple geo-distributed data centers is expected to be the most efficient platform to process the big data stream. In this paper, a multi-round combinational double auction based mechanism...

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OPTIMIZATION (8)
RESOURCE MANAGEMENT (7)
ASYMPTOTIC STABILITY (6)
TELECOMMUNICATION CONGESTION CONTROL (6)
CLOUD COMPUTING (5)
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STABILITY ANALYSIS (4)
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ACTUATORS (3)
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AD HOC NETWORKS (3)
APPROXIMATION ALGORITHMS (3)
BANDWIDTH (3)
CLASSIC KELLY MODEL (3)
COGNITIVE RADIO (3)
CONTROL SYSTEMS (3)
COOPERATIVE COMMUNICATION (3)
DECENTRALIZED CONTROL (3)
ENERGY CONSUMPTION (3)
FUZZY CONTROL (3)
HEURISTIC ALGORITHMS (3)
INTEGRATED CIRCUIT MODELING (3)
INTERNET (3)
IP NETWORKS (3)
MOBILE COMMUNICATION (3)
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OPTIMAL CONTROL (3)
PREDICTIVE CONTROL (3)
PREDICTIVE MODELS (3)
PRICING (3)
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SUPER-RESOLUTION (3)
SUPERCAPACITORS (3)
SWITCHES (3)
TCP RENO (3)
TCP VEGAS (3)
TCP/IP (3)
VARIATIONAL INEQUALITY (3)
VEHICLES (3)
VOLTAGE CONTROL (3)
ADAPTATION MODELS (2)
AGGREGATES (2)
ALGORITHM DESIGN AND ANALYSIS (2)
BATTERIES (2)
BRAKES (2)
DECENTRALISED CONTROL (2)
DELAY TIME (2)
DELAYS (2)
DROP RATIO (2)
ENERGY EFFICIENCY (2)
ERROR STATISTICS (2)
ESTIMATION (2)
EXPLICIT CONGESTION NOTIFICATION (2)
FADING-INDUCED BIT ERRORS (2)
FAIRNESS (2)
FAULT TOLERANCE (2)
FEEDBACK (2)
FEEDBACK CONTROL LAW (2)
FUNCTION APPROXIMATION (2)
GAMES (2)
HIGH-SPEED NETWORKS (2)
IMPEDANCE (2)
INSULATED GATE BIPOLAR TRANSISTORS (2)
LEARNING (ARTIFICIAL INTELLIGENCE) (2)
LEAST SQUARES APPROXIMATIONS (2)
LINEAR MATRIX INEQUALITIES (2)
LINEAR PROGRAMMING (2)
MOBILE CLOUD COMPUTING (2)
MOBILE RADIO (2)
MONITORING (2)
MORPHOLOGICAL COMPONENT ANALYSIS (2)
NETWORK CONGESTION CONTROL (2)
NETWORK CONGESTION PROBLEM (2)
NONLINEAR CONTROL ALLOCATION FRAMEWORK (2)
OBSERVERS (2)
OPTIMAL SLIP RATIO (2)
OPTIMISATION (2)
PETROLEUM (2)
POWER ALLOCATION (2)
POWER CONTROL (2)
PRODUCTION MANAGEMENT (2)
RAILS (2)
RAILWAY VEHICLES (2)
RELAYS (2)
RENOVATION MECHANISM (2)
ROADS (2)
ROBUST CONTROL (2)
ROBUSTNESS (2)
SNOOPY PROTOCOL (2)
SPARSE REPRESENTATION (2)
SUBCARRIER SELECTION (2)
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INFONA - science communication portal

Search results for: Weirong Liu

Adaptive fractional‐order unscented Kalman filter with unknown noise statistics

An Energy-Based Nonlinear Pressure Observer for Fast and Precise Braking Force Control of the ECP Brake

Enhanced Sliding Mode Control and Online Estimation of Optimal Slip Ratio for Railway Vehicle Braking Systems

Image sparse representation with local ARMA and nonlocal self-similarity regularizations for super-resolution

Robust and accurate state-of-charge estimation for lithium-ion batteries using generalized extended state observer

Distributed Cooperative Reinforcement Learning-Based Traffic Signal Control That Integrates V2X Networks’ Dynamic Clustering

A lifetime optimization mobile data gathering strategy with adaptive compressive sensing in WSN

Optimal operation of high-speed train using hybrid model predictive control

A coalitional game based mechanism for resource sharing in geo-distributed mobile cloud computing

An EMPC based active control for pneumatic pantograph system using ON/OFF valves

An adaptive energy allocation strategy for battery/supercapacitor hybrid energy storage system

A Hybrid Particle Swarm Ant Colony Based Resource Reservation for Geo-Distributed Cloud Service

Multi-device task offloading with time-constraints for energy efficiency in mobile cloud computing

A Consensus Control with Application to Heavy Haul Trains Based on Switched Hierarchical LQR

Sliding model control based on estimation of optimal slip ratio for railway wheel slide protection using extremum seeking

A distributed ESO based cooperative current-sharing strategy for parallel charging systems under disturbances

Optimal constrained ensemble control for inhomogeneous robots

Design of charging system based on three level structure for ultracapacitor light rail vehicles

A joint subcarrier selection and power allocation scheme using variational inequality in OFDM‐based cognitive relay networks

A combinatorial double auction based resource allocation mechanism with multiple rounds for geo-distributed data centers

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