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2018 Australian & New Zealand Control Conference (ANZCC)最新文献

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Frequency-weighted balanced Truncation of 2-D separable denominator discrete-time systems 二维可分离分母离散时间系统的频率加权平衡截断
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606618
Deepak Kumar, Umair Zulfiqar, V. Sreeram
{"title":"Frequency-weighted balanced Truncation of 2-D separable denominator discrete-time systems","authors":"Deepak Kumar, Umair Zulfiqar, V. Sreeram","doi":"10.1109/ANZCC.2018.8606618","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606618","url":null,"abstract":"A frequency-weighted balanced truncation technique for two-dimensional (2-D) separable denominator discrete-time systems is presented that is applicable with single-sided and double-sided weights. The proposed method is straightforward and efficient than the existing methods as the computation of controllability and observability Gramians doesn’t require solutions of Lyapunov inequalities and iterative algorithms. The simulation results of numerical examples are given to demonstrate the effectiveness of the proposed approach.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117341777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A traction control arithmetic verified on a novel HIL platform 一种牵引力控制算法在新型HIL平台上得到了验证
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606564
Hongtai Ma, Jian Luo, Yingpeng Fan, Danni Wang, Chaoran Wang, H. Zhao
{"title":"A traction control arithmetic verified on a novel HIL platform","authors":"Hongtai Ma, Jian Luo, Yingpeng Fan, Danni Wang, Chaoran Wang, H. Zhao","doi":"10.1109/ANZCC.2018.8606564","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606564","url":null,"abstract":"As the core component of electric vehicle, electric motor has a better performance than internal combustion engine in torque control aspect. For this reason, it’s possible to improve traction control performance which is of most importance in driving safety. In this paper, a slip ratio restrict control method based on quarter car model is proposed. The control arithmetic is verified by simulation and hardware in loop experiment. The computer simulation and HIL experiment results show that slip ratio can be suppressed well.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115004212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust Optimal Control of Continuous Time Linear System using Reinforcement Learning 基于强化学习的连续时间线性系统鲁棒最优控制
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606607
Abdul Sami, A. Memon
{"title":"Robust Optimal Control of Continuous Time Linear System using Reinforcement Learning","authors":"Abdul Sami, A. Memon","doi":"10.1109/ANZCC.2018.8606607","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606607","url":null,"abstract":"The paper explores the area of Reinforcement Learning (RL) that is emerging as an elegant tool in solving the control problems that require optimality and robustness simultaneously. The task of stabilization of an inverted pendulum system with known/unknown internal dynamics is discussed to reveal the advantages of RL approach over conventional approach and is demonstrated using simulations. Also discussed are the algorithmic challenges faced by the designer in using the RL approach for online robust optimal control of unknown systems.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123283730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Comparative Study of BLDC Motor Modeling 无刷直流电机建模比较研究
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606596
Yusai Zheng, Z. Cao, Song Wang
{"title":"Comparative Study of BLDC Motor Modeling","authors":"Yusai Zheng, Z. Cao, Song Wang","doi":"10.1109/ANZCC.2018.8606596","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606596","url":null,"abstract":"Transfer function is a widely employed kind of mathematical model. First order and second order transfer function with voltage input and motor speed output are broadly used as models of BLDC motor. Since there exists uncertainty and nonlinear phenomena in the real time world, simulation and practical experiment have been done to compare uncertainty among the first order model, second order model and the real model in this brief. The object of this brief is to find out which model can present the real BLDC motor more accurately and the magnitude of system outcome differences between the theoretical model and the real one, which is a mean of measuring the uncertainty between the theoretical model and the real model.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125486513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Containment Control in Extended Taylor Model 扩展泰勒模型中的遏制控制
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606556
Hassan Dehghani Aghbolagh, M. Zamani, Zhiyong Chen
{"title":"Containment Control in Extended Taylor Model","authors":"Hassan Dehghani Aghbolagh, M. Zamani, Zhiyong Chen","doi":"10.1109/ANZCC.2018.8606556","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606556","url":null,"abstract":"In this paper, we propose an extension to Taylor model of opinion dynamics in social networks. Motivated by bounded confidence models, we propose an extended Taylor model in which the influence graph is built based on the confidence levels of individuals. Furthermore, we establish a link between structural controllability of this model and containment of individuals’ opinions by the sources. In addition, an algorithm is proposed to find the minimum values of the confidence levels ensuring that structural controllability and containment can be achieved. An illustrative example is provided to verify the proposed scheme.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125828907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
State-Feedback Stabilization of Discrete-Time Switched Linear Systems With Improved PDT Constraints 具有改进PDT约束的离散时间切换线性系统的状态反馈镇定
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606593
Yanzheng Zhu, W. Zheng
{"title":"State-Feedback Stabilization of Discrete-Time Switched Linear Systems With Improved PDT Constraints","authors":"Yanzheng Zhu, W. Zheng","doi":"10.1109/ANZCC.2018.8606593","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606593","url":null,"abstract":"This paper is concerned with the issues of stability analysis and state-feedback stabilization control design for a class of discrete-time switched linear systems. Other than the existing studies on the persistent dwell time (PDT) switching signals, the average dwell time (ADT) switching property is considered together with the PDT switching constraint here to eliminate the restriction of dwell time requirements and to lift the flexibility of PDT switching signals design. By virtue of the semi-time-varying (STV) Lyapunov function approach, the stability criteria are derived for the considered system. Then sufficient conditions on the solvability of stabilizing controllers in STV form are obtained, and the corresponding controller gains are calculated by solving a cluster of linear matrix inequalities. Finally, the advantage of the developed theoretical results is illustrated via a numerical example.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Damping Control Based on Quasi-Internal-Model for Offshore Platforms* 基于准内模的海洋平台阻尼控制*
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606552
H. Su, Li-Na Tang, Hui Ma, G. Tang
{"title":"Damping Control Based on Quasi-Internal-Model for Offshore Platforms*","authors":"H. Su, Li-Na Tang, Hui Ma, G. Tang","doi":"10.1109/ANZCC.2018.8606552","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606552","url":null,"abstract":"This paper is concerned with the damping control problem for offshore platforms. A quasi-internal-model (QIM) control approach is proposed to vibration systems of offshore platforms with unmeasurable wave force disturbance. First, we present an approach of estimating wave force modal based on the power spectral density (PSD) function of wave force. Then a structural decoupling control to offshore platforms is proposed. Finally, A QIM compensator is designed based on the appropriate wave force modal. Numerical simulation examples show the effectiveness of the control strategy.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134131751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Terminal sliding mode control for dual active bridge dc-dc converter with structure of voltage and current double closed loop 电压电流双闭环结构双有源桥式dc-dc变换器的终端滑模控制
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606608
Zehui Yu, J. Zeng, Junfeng Liu, Fei Luo
{"title":"Terminal sliding mode control for dual active bridge dc-dc converter with structure of voltage and current double closed loop","authors":"Zehui Yu, J. Zeng, Junfeng Liu, Fei Luo","doi":"10.1109/ANZCC.2018.8606608","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606608","url":null,"abstract":"Traditional PI controller for dual active bridge dc-dc converter has slower response speed and worse steady accuracy. Terminal sliding mode (TSM) control method with structure of voltage and current double closed loop is proposed. The unified differential equation model of the converter for the case of switching ON/OFF was established based on kirchhoff's law and a TSM controller and LSM controller was designed for the outer capacitor voltage subsystem and output current for H bridge on the secondary side of the transformer respectively to guarantee the transient performance and expected DC voltage output in the finite time. Meanwhile, the unified stability condition of DAB converter for the case of switching ON/OFF was deduced by the existence condition of sliding mode control. Simulation validate the accuracy of the design.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134525645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
On feature selection and blast furnace temperature tendency prediction in hot metal based on SVM-RFE 基于SVM-RFE的铁水特征选择与高炉温度趋势预测
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606611
Yikang Wang, Xueyi Liu, Baolin Zhang
{"title":"On feature selection and blast furnace temperature tendency prediction in hot metal based on SVM-RFE","authors":"Yikang Wang, Xueyi Liu, Baolin Zhang","doi":"10.1109/ANZCC.2018.8606611","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606611","url":null,"abstract":"With datasets from the domestic medium blast furnace (BF) as a sample place, the contributions of multivariable features of BF system to temperature tendency prediction are analyzed based on the support vector machine and recursive feature elimination (SVM-RFE), and then prediction model of BF temperature is built. First, the initial feature sets are trained to obtain the optimal feature nested subset based on SVM-RFE. Then, the optimal feature nested subset and the current BF temperature tendency are taken as input and output respectively to build support vector machine (SVM) model, which is applied to the independent test set. Third, the optimal feature set and tendency prediction rate are obtained. The simulation results show that the complexity of high dimension data is reduced. In addition, the model can provide an accuracy of 86% in temperature tendency prediction in BF and have some practical use in online monitoring the BF temperature, and thus it has remarkable advantages in feature selection and BF temperature tendency prediction in hot metal.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133446470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Learning MPC: System stability and convergent identification under bounded modelling error 学习MPC:有界建模误差下的系统稳定性和收敛辨识
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606603
Kacper Grzędziński, P. Trodden
{"title":"Learning MPC: System stability and convergent identification under bounded modelling error","authors":"Kacper Grzędziński, P. Trodden","doi":"10.1109/ANZCC.2018.8606603","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606603","url":null,"abstract":"The dual-control problem of simultaneously regulating a plant and identifying its dynamics is addressed in a linear model predictive control (MPC) framework. We propose and study an approach where two optimal control problems are solved in series, online: the first is a standard regulating linear quadratic MPC problem, which achieves exponential nominal stability; the second is an ancillary optimization problem that promotes persistency of excitation, in order to facilitate online learning of the system dynamics. Maximization of the minimum eigenvalue of predicted information matrix increments, in a recursive least squares (RLS) scheme, is used. Our main result, achieved by employing inherent robustness from exponentially stabilizing MPC, establishes a bound on the permitted magnitude of excitation applied by the secondary optimization; in terms of the system model error. Satisfaction of this bound guarantees stability of the closed-loop uncertain system, despite the exciting perturbations.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130952402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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