2018 UKACC 12th International Conference on Control (CONTROL)最新文献

Towards a Proof of the Kalman Conjecture for the Second Order Systems with Time-Delay 二阶时滞系统卡尔曼猜想的一个证明

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516827

Jingfan Zhang, W. Heath, J. Carrasco

引用次数: 0

Weighted Point-to-Point Repetitive Control for Drop-Foot Assistance 加权点对点重复控制的落脚援助

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516840

A. Page, C. Freeman, B. Chu

引用次数: 1

Recent Findings on Strong Integral Input-to-State Stability for Forced Lur'e Systems 强迫Lur系统强积分输入-状态稳定性的新发现

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516772

C. Guiver, H. Logemann

引用次数: 0

Non-Linear Model Predictive Control for Preventing Premature Aging in Battery Energy Storage System 防止电池储能系统过早老化的非线性模型预测控制

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516720

C. Galatsopoulos, S. Papadopoulou, C. Ziogou, Dimitris Trigkas, C. Yfoulis, S. Voutetakis

{"title":"Non-Linear Model Predictive Control for Preventing Premature Aging in Battery Energy Storage System","authors":"C. Galatsopoulos, S. Papadopoulou, C. Ziogou, Dimitris Trigkas, C. Yfoulis, S. Voutetakis","doi":"10.1109/CONTROL.2018.8516720","DOIUrl":"https://doi.org/10.1109/CONTROL.2018.8516720","url":null,"abstract":"This paper discusses non-linear model predictive control (NMPC) for preventing premature aging in a Battery Energy Storage System (BESS). The BESS can be used in both residential and commercial buildings in order to reduce the cost of energy consumption. Apart from maintaining the BESS's life expectancy, the NMPC is also responsible for securing the maximum possible economic profit. The implementation of the NMPC requires the modeling of the BESS, the modeling of an aging prediction mechanism for the 15-Lithium Ion batteries stack and the identification of the needs and requirements for energy management in a dynamic pricing environment where the GRID is the unique source of power to the building and to the BESS. The NMPC utilizes forecasted profiles for the energy demand and the energy prices which are retrieved from a data knowledge warehouse in order to propose an optimal discharge profile for the BESS. Furthermore, the intra-day alternations of the energy prices and the uncertainty that the day-ahead energy demand profile will match the actual demand profile, makes the necessity of the controller to update the proposed discharge profile during the day inevitable. Indicative results of the proposed method are presented in order to demonstrate the ability of the NMPC to provide an optimal solution for achieving a specific capacity loss target for the batteries stack and simultaneously ensuring high financial profit.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114259589","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

Linear System Identification of Longitudinal Vehicle Dynamics Versus Nonlinear Physical Modelling 车辆纵向动力学线性系统辨识与非线性物理建模

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516756

Sebastian S. James, S. Anderson

{"title":"Linear System Identification of Longitudinal Vehicle Dynamics Versus Nonlinear Physical Modelling","authors":"Sebastian S. James, S. Anderson","doi":"10.1109/CONTROL.2018.8516756","DOIUrl":"https://doi.org/10.1109/CONTROL.2018.8516756","url":null,"abstract":"Mathematical modelling of vehicle dynamics is essential for the development of autonomous cars. Many of the vehicle models that are used for control design in cars are based on nonlinear physical models. However, it is not clear, especially for the case of longitudinal dynamics, whether such nonlinear models are necessary or simpler models can be used. In this paper, we identify a linear data-driven model of longitudinal vehicle dynamics and compare it to a nonlinear physically derived model. The linear model was identified in continuous-time state-space form using a prediction error method. The identification data were obtained from a Lancia Delta car, over 53 km of normal driving on public roads. The selected linear model was first order with requested torque, brake and road gradient as inputs and car velocity as output. The key results were that 1. the linear model was accurate, with a variance accounted for (VAF) metric of VAF=96.5%, and 2. the identified linear model was also superior in accuracy to the nonlinear physical model, VAF=77.4%. The implication of these results, therefore, is that for longitudinal dynamics, in normal driving conditions, a first order linear model is sufficient to describe the vehicle dynamics. This is advantageous for control design, state estimation and real-time implementation, e.g. in predictive control.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130651062","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: 9

Probabilistic Decoupling Control for Stochastic Non-Linear Systems Using EKF-Based Dynamic Set-Point Adjustment 基于ekf的随机非线性系统动态设定点调整的概率解耦控制

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516784

Qichun Zhang, Liang Hu

引用次数: 11

Mechanical Hybrid Control for Heavy-Goods Vehicle 重型货车机械混合动力控制

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516740

Fatin Gunes, Yixin Yang, B. Kim, M. Wellers

引用次数: 0

Efficient Implementation of Rate Constraints for Nonlinear Optimal Control 非线性最优控制中速率约束的有效实现

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516847

Yuanbo Nie, E. Kerrigan

引用次数: 6

Estimation of Centre of Pressure from Wearable Intertial Sensors 可穿戴式间隙传感器压力中心的估计

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516891

Isaac Zeca, Yuzhu Guo, F. Storm, C. Mazzà, Lingzhong Guo

{"title":"Estimation of Centre of Pressure from Wearable Intertial Sensors","authors":"Isaac Zeca, Yuzhu Guo, F. Storm, C. Mazzà, Lingzhong Guo","doi":"10.1109/CONTROL.2018.8516891","DOIUrl":"https://doi.org/10.1109/CONTROL.2018.8516891","url":null,"abstract":"Conventionally, centre of pressure (COP) measurements are acquired using force plate systems or instrumented treadmill devices. Despite their accuracy, these standard measuring techniques are restricted to laboratory settings, expensive equipment, and may not replicate normal outdoor walking, thus imposing some constraints on the ability to measure human movement. In this study, we propose a new method to estimate foot COP during walking, using exclusive information from wearable inertial sensors located in different parts of body. The dynamic relationship between the inertial sensor information (i.e. accelerations, angular velocities and quaternion orientation) and the measured COP using two-foot pressure insole sensors has been identified using a nonlinear autoregressive moving average with exogenous input (NARMAX) model. The results show that the COP movement can be estimated with high accuracy using only a single inertial sensor attached to the left ankle. The relative prediction errors were around 2.7% in the anterior-posterior direction (x-axis, forward and backward), and 7.6% in the medial-lateral direction (y-axis, side-to-side) for the left ankle sensor, which are comparable to 2.5% and 7.1% in the anterior-posterior and medial-lateral directions, respectively, when all six sensors were used. The proposed approach provides a promising low-cost method for COP estimation and continuous monitoring of gait characteristics in daily life applications.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"425 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131836808","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

Fault Tolerant MPC for Fed-Batch Penicillin Production 用于联产青霉素生产的容错 MPC

2018 UKACC 12th International Conference on Control (CONTROL) Pub Date : 2018-09-01 DOI: 10.1109/CONTROL.2018.8516796

Carlos A. Duran-Villalobos, B. Lennox, S. Goldrick

引用次数: 0