Search results for: Jian-Xin Xu

Items from 1 to 20 out of 206 results

article

Flow pattern visualization and nonlinear analysis of gas-liquid mixing process with top-blowing gas stirring

Kai Yang, Shi-Bo Wang, Xiu-Le Zhu, Jian-Xin Xu, more

Journal of Central South University > 2019 > 26 > 8 > 2029-2040

The evaluation of the mixing effect of gas-liquid two-phase flow during the top-blown gas agitation mixing is one of the difficulties in the testing field, especially in the process of using the model method to study the metallurgical top-blowing process. In order to evaluate the effect of gas-liquid two-phase flow mixing, a gas chromatography simulation based on capacitance tomography was used to...

article

Distributed learning consensus control based on neural networks for heterogeneous nonlinear multiagent systems

Dong Shen, Chao Zhang, Jian‐Xin Xu

International Journal of Robust and Nonlinear Control > 29 > 13 > 4328 - 4347

This paper considers a novel distributed iterative learning consensus control algorithm based on neural networks for the control of heterogeneous nonlinear multiagent systems. The system's unknown nonlinear function is approximated by suitable neural networks; the approximation error is countered by a robust term in the control. Two types of control algorithms, both of which utilize distributed learning...

article

Robust learning control for nonlinear systems with nonparametric uncertainties and nonuniform trial lengths

Dong Shen, Jian‐Xin Xu

International Journal of Robust and Nonlinear Control > 29 > 5 > 1302 - 1324

This paper proposes robust iterative learning control schemes for continuous‐time nonlinear systems with various nonparametric uncertainties under nonuniform trial length circumstances. The nonuniform trial length is described by a random variable, which causes a random data missing problem while designing and analyzing algorithms for the precise tracking problem. Three common types of nonparametric...

article

An equilibrium-based learning approach with application to robotic fish

Xuefang Li, Qinyuan Ren, Jian-Xin Xu

Nonlinear Dynamics > 2018 > 94 > 4 > 2715-2725

In this work, we extend the concept of integral control to equilibrium-based learning control. As far as the plant reaches an equilibrium that deviates from the reference, a learning mechanism will update the control action. The new control action will drive the plant output to reach a new equilibrium that is closer the reference set-point. By applying fixed point theorem, we can prove the convergence...

article

Iterative Learning Control for Linear Discrete‐Time Systems with Unknown High‐Order Internal Models: A Time‐Frequency Analysis Approach

Qiao Zhu, Jian‐Xin Xu, Deqing Huang, Guang‐Di Hu

Asian Journal of Control > 20 > 1 > 370 - 385

This work focuses on the iterative learning control (ILC) for linear discrete‐time systems with unknown initial state and disturbances. First, multiple high‐order internal models (HOIMs) are introduced for the reference, initial state, and disturbances. Both the initial state and disturbance consist of two components, one strictly satisfies HOIM and the other is random bounded. Then, an ILC scheme...

article

A framework of iterative learning control under random data dropouts: Mean square and almost sure convergence

Dong Shen, Jian‐Xin Xu

International Journal of Adaptive Control and Signal Processing > 31 > 12 > 1825 - 1852

This paper addresses the iterative learning control problem under random data dropout environments. The recent progress on iterative learning control in the presence of data dropouts is first reviewed from 3 aspects, namely, data dropout model, data dropout position, and convergence meaning. A general framework is then proposed for the convergence analysis of all 3 kinds of data dropout models, namely,...

article

A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments

Dong Shen, Jian-Xin Xu

IEEE Transactions on Automatic Control > 2017 > 62 > 11 > 5850 - 5857

This technical note contributes to the convergence analysis for iterative learning control (ILC) for linear stochastic systems under general data dropout environments, i.e., data dropouts occur randomly at both the measurement and actuator sides. Data updating in the memory array is arranged in such a way that data at every time instance is updated independently, which allows successive data dropouts...

chapter

A luenberger observer-based fault detection and identification scheme for photovoltaic DC-DC converters

Palak Jain, Li Jian, Jason Poon, Costas Spanos, more

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society > 5015 - 5020

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

This paper presents the design, analysis, and experimental validation of a fault detection and identification (FDI) scheme for dc-dc power electronic converters. The FDI scheme includes two new classes of fault filters: (1) a linear-switched fault detection (FD) filter and (2) a bank of linear-switched fault identification (FI) filters. Both the FD filter and the bank of FI filters have a structure...

chapter

Iterative learning control for linear systems with Markov data dropouts: Noise-free case

Dong Shen, Jian-Xin Xu

2017 36th Chinese Control Conference (CCC) > 3304 - 3309

2017 36th Chinese Control Conference (CCC)

This paper contributes to the convergence analysis of iterative learning control (ILC) for a linear time-varying system with measurement data dropouts, where the data dropout problem is formulated by a Markov chain model. The widely used Bernoulli model for data dropout is a special case of the Markov chain model. A regulating parameter is added to the classic P-type update law. The mean square and...

article

Data-Assisted Modeling and Speed Control of a Robotic Fish

Saurab Verma, Jian-Xin Xu

IEEE Transactions on Industrial Electronics > 2017 > 64 > 5 > 4150 - 4157

In this paper, a novel data-assisted dynamical modeling and control approach is developed for robotic fish speed tracking. The data-assisted modeling focuses on the thrust mechanism, including the structure and parameters that are absent from the Newtonian-based analytic model of the robotic motion. The thrust of a robotic fish is generated through undulatory body movement interacting with surrounding...

chapter

Boundary tracking control for MIMO PDE-ODE cascade systems via learning control approach

Xuefang Li, Deqing Huang, Dong Shen, Jian-Xin Xu

2017 6th Data Driven Control and Learning Systems (DDCLS) > 78 - 83

2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS)

This work addresses the boundary tracking control of a class of MIMO PDE-ODE cascade systems via learning control approach. Due to the temporal-, spatial- and iteration-varying properties, one of the key steps before the controller design is to reduce the variation of the systems. Therefore, frequency domain analysis techniques are adopted in this work, which can be used to remove the time domain...

article

Multiple Exponential Recombination for Differential Evolution

Xin Qiu, Kay Chen Tan, Jian-Xin Xu

IEEE Transactions on Cybernetics > 2017 > 47 > 4 > 995 - 1006

Differential evolution (DE) is a popular population-based metaheuristic approach for solving numerical optimization problems. In recent years, considerable research has been devoted to the development of new mutation strategies and parameter adaptation mechanisms. However, as one of the basic algorithmic components of DE, the crossover operation has not been sufficiently examined in existing works...

article

Remnants of late Permian–Middle Triassic ocean islands in northern Tibet: Implications for the late-stage evolution of the Paleo-Tethys Ocean

Jian-Jun Fan, Cai Li, Chao-Ming Xie, Yi-Ming Liu, more

Gondwana Research > 2017 > 44 > C > 7-21

In this paper we present new data for the Tianquan (TQ) and Dabure (DB) ocean islands in the western segment of the Longmuco–Shuanghu–Lancangjiang suture zone, northern Tibet, including the results of major and trace element analyses, zircon U–Pb dating, and Hf isotope analyses. Our aim was to assess the genesis of these ocean islands and to consider the implications for the tectonic evolution of...

article

Hypothesis-testing combined with image analysis to quantify evolution of bubble swarms in a direct-contact boiling heat transfer process

Qing-tai Xiao, Jian-xin Pan, Jian-xin Xu, Hua Wang, more

Applied Thermal Engineering > 2017 > 113 > C > 851-857

The technology of image enhancement has been proved to be very effective and powerful in the quantification of bubbling regime, heat transfer performance and mixing efficiency in a direct contact boiling heat transfer process. In the present work, this image analysis technique was combined with some statistical hypothesis-testing tools including Kolmogorov-Smirnov test and chi-square test in order...

article

Numerical method and model for calculating thermal storage time for an annular tube with phase change material

Fan-han Liu, Jian-xin Xu, Hui-tao Wang, Hua Wang

Journal of Central South University > 2017 > 24 > 1 > 217-226

For calculating the thermal storage time for an annular tube with phase change material (PCM), a novel method is proposed. The method is suitable for either low-temperature PCM or high-temperature PCM whose initial temperature is near the melting point. The deviation fit is smaller than 8% when the time is below 2×10⁴ s. Comparison between the predictions and the reported experimental data of thermal...

article

Differential evolution based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems

Deqing Huang, Jian-Xin Xu, Xin Deng, Venkatakrishnan Venkataramanan, more

International Journal of Automation and Computing > 2017 > 14 > 1 > 45-56

Sensitivity loop shaping using add-on peak filters is a simple and effective method to reject narrow-band disturbances in hard disk drive (HDD) servo systems. The parallel peak filter is introduced to provide high-gain magnitude in the concerned frequency range of open-loop transfer function. Different from almost all the known peak filters that possess second-order structures, we explore in this...

article

Late Jurassic adakitic granodiorite in the Dong Co area, northern Tibet: Implications for subduction of the Bangong–Nujiang oceanic lithosphere and related accretion of the Southern Qiangtang terrane

Jian-Jun Fan, Cai Li, Hao Wu, Tian-Yu Zhang, more

Tectonophysics > 2016 > 691 > PB > 345-361

In this paper we present new major and trace element chemical data, zircon U–Pb age data, and zircon Hf isotopic compositions for the Dong Co granodiorites (DGs) that were emplaced directly in the Dong Co ophiolites (DOs) in the middle segment of the Bangong–Nujiang suture zone (BNSZ), northern Tibet. We use these new data to discuss the genesis of the DGs and implications for the evolution of the...

article

A mathematical prognosis model for pancreatic cancer patients receiving immunotherapy

Xuefang Li, Jian-Xin Xu

Journal of Theoretical Biology > 2016 > 406 > C > 42-51

Pancreatic cancer is one of the most deadly types of cancer since it typically spreads rapidly and can seldom be detected in its early stage. Pancreatic cancer therapy is thus a challenging task, and appropriate prognosis or assessment for pancreatic cancer therapy is of critical importance. In this work, based on available clinical data in Niu et al. (2013) we develop a mathematical prognosis model...

chapter

Spatial repetitive controller for minimizing circulating harmonic currents in modular multilevel converters for variable frequency applications

Sandeep Kolluri, Prasanth Thummala, Rajesh Sapkota, Jian-Xin Xu, more

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society > 3612 - 3617

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

In a modular multilevel converter (MMC), ripple component in the capacitor voltages of the submodules(SMs) results in second- and other even-order harmonics in the circulating currents. When, MMC is used for variable frequency applications like a front end converter in variable speed wind generator or as an inverter in a motor drive, the circulating current harmonic frequencies varies over a wide...

chapter

A comparison of robotic fish speed control based on analytical and empirical models

Saurab Verma, Jian-Xin Xu, Qinyuan Ren, Wee Beng Tay, more

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society > 6055 - 6060

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

In this paper, a comparative study of speed control efficiencies based on two dynamical models is presented. The common structure of dynamical models is developed using first principles of physics. The complex thrust mechanism is studied using two different techniques. First, we apply a novel data-driven approach to build up the non-linear mapping between tail angular motion and thrust generated,...

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INFONA - science communication portal

Search results for: Jian-Xin Xu

Flow pattern visualization and nonlinear analysis of gas-liquid mixing process with top-blowing gas stirring

Distributed learning consensus control based on neural networks for heterogeneous nonlinear multiagent systems

Robust learning control for nonlinear systems with nonparametric uncertainties and nonuniform trial lengths

An equilibrium-based learning approach with application to robotic fish

Iterative Learning Control for Linear Discrete‐Time Systems with Unknown High‐Order Internal Models: A Time‐Frequency Analysis Approach

A framework of iterative learning control under random data dropouts: Mean square and almost sure convergence

A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments

A luenberger observer-based fault detection and identification scheme for photovoltaic DC-DC converters

Iterative learning control for linear systems with Markov data dropouts: Noise-free case

Data-Assisted Modeling and Speed Control of a Robotic Fish

Boundary tracking control for MIMO PDE-ODE cascade systems via learning control approach

Multiple Exponential Recombination for Differential Evolution

Remnants of late Permian–Middle Triassic ocean islands in northern Tibet: Implications for the late-stage evolution of the Paleo-Tethys Ocean

Hypothesis-testing combined with image analysis to quantify evolution of bubble swarms in a direct-contact boiling heat transfer process

Numerical method and model for calculating thermal storage time for an annular tube with phase change material

Differential evolution based high-order peak filter design with application to compensation of contact-induced vibration in HDD servo systems

Late Jurassic adakitic granodiorite in the Dong Co area, northern Tibet: Implications for subduction of the Bangong–Nujiang oceanic lithosphere and related accretion of the Southern Qiangtang terrane

A mathematical prognosis model for pancreatic cancer patients receiving immunotherapy

Spatial repetitive controller for minimizing circulating harmonic currents in modular multilevel converters for variable frequency applications

A comparison of robotic fish speed control based on analytical and empirical models

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