A two-stage Kalman estimator for motion control using model predictive strategy

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

A two-stage Kalman estimator for motion control using model predictive strategy. / Chen, Liang; Mercorelli, P.; Liu, Steven.

2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV): Kunming, 6 December 2004 - 9 December 2004, 65079. Band 3 IEEE - Institute of Electrical and Electronics Engineers Inc., 2004. S. 1699-1704 (2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV); Band 3).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Chen, L, Mercorelli, P & Liu, S 2004, A two-stage Kalman estimator for motion control using model predictive strategy. in 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV): Kunming, 6 December 2004 - 9 December 2004, 65079. Bd. 3, 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), Bd. 3, IEEE - Institute of Electrical and Electronics Engineers Inc., S. 1699-1704, 8th International Conference on Control, Automation, Robotics and Vision - ICARCV2004, Kunming, China, 06.12.04. https://doi.org/10.1109/ICARCV.2004.1469318

APA

Chen, L., Mercorelli, P., & Liu, S. (2004). A two-stage Kalman estimator for motion control using model predictive strategy. in 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV): Kunming, 6 December 2004 - 9 December 2004, 65079 (Band 3, S. 1699-1704). (2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV); Band 3). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2004.1469318

Vancouver

Chen L, Mercorelli P, Liu S. A two-stage Kalman estimator for motion control using model predictive strategy. in 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV): Kunming, 6 December 2004 - 9 December 2004, 65079. Band 3. IEEE - Institute of Electrical and Electronics Engineers Inc. 2004. S. 1699-1704. (2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)). doi: 10.1109/ICARCV.2004.1469318

Bibtex

@inbook{e0859e2fdadd48dcb684a42b7cc892f7,
title = "A two-stage Kalman estimator for motion control using model predictive strategy",
abstract = "The paper proposes an hybrid Kalman filter integrating a robust and optimal algorithm for the use as an observer in model-varying predictive control (MVPC) of a nonlinear system. Moreover, a position MPC is derived in detail. Even though the proposed approach is quite general, a real case coming from automotive application is studied using computer simulation to demonstrate the effectiveness of the proposed technique. Simulations and results with real data are also discussed. {\textcopyright} 2004 IEEE.",
keywords = "Engineering, Actuators, Disturbance estimation, Model predictive control, Two-stage Kalman filter",
author = "Liang Chen and P. Mercorelli and Steven Liu",
note = "Conference code: 65079 Export Date: 22 May 2012 Source: Scopus Language of Original Document: English Correspondence Address: Chen, L.; Electrical Engineering Department, University of Shanghai for Science and Technology, Jungong Lu 516, Shanghai 200093, China; email: lorenz.chen@gmx.de References: Bizup, D.F., Brown, D.E., The over-extended kalman filter-don't use (2003) Internai Report Number SIE-030001 in System and Information Dept. University of Virginia (USA); Butzmann, S., Melbert, J., Koch, A., Sensorless control of electromagnetic actuators for variable valve train (2000) Proc. SAE Technical Paper 2000-01-1225; Hsieh, C.-S., Robust two-stage kalman filters for systems with unknown inputs (2000) IEEE Transactions on Automatic Control, 45 (12), pp. 2374-2378; Hsieh, C.-S., General two-stage extended kalman filter (2003) IEEE Transactions on Automatic Control, 48 (2), pp. 289-293; Hsieh, C.-S., Chen, F.-C., Optimal solution of the two-stage kalman estimator (1999) IEEE Transactions on Automatic Control, 44 (1), pp. 194-199; Mercorelli, P., Liu, S., Lehmann, K., Robust flatness based control of an electromagnetic linear actuator using adaptive pid controller (2003) 42nd IEEE Conference on Decision and Control; Pedret, C., Poncet, A., Stadler, K., Toller, A., Glattfelder, A.H., Bemporad, A., Morari, M., Model-varying predictive control of a nonlinear system (2000) Internal Report in Computer Science Dept. ETSE de la Universitat Aut{\`o}noma de Barcelona; Peterson, K.S., Stefanopoulou, A.G., Rendering the elecreomechanical valve actuator globally asymptotically stable (2003) Proc. 42nd IEEE Conference on Decision and Control, Maui; Haessig, D., Friedland, B., Separat-bias estimation with reduced-order kalman filters (1998) IEEE Transactions on Automatic Control, 43 (7), pp. 983-987; Zhu, G., Kaddouri, A., Dessaint, L.A., Akhrif, O., A nonlinear state observer for the sensorless control of a permanent-magnet ac machine (2001) IEEE Transactions on Industrial Electronics, 48 (6), pp. 1098-1108 Sponsors: Lee Foundation, Singapore; National Natural Science Foundation of China; 8th International Conference on Control, Automation, Robotics and Vision - ICARCV2004, ICARCV2004 ; Conference date: 06-12-2004 Through 09-12-2004",
year = "2004",
doi = "10.1109/ICARCV.2004.1469318",
language = "English",
isbn = "0780386531",
volume = "3",
series = "2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "1699--1704",
booktitle = "2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)",
address = "United States",

}

RIS

TY - CHAP

T1 - A two-stage Kalman estimator for motion control using model predictive strategy

AU - Chen, Liang

AU - Mercorelli, P.

AU - Liu, Steven

N1 - Conference code: 8

PY - 2004

Y1 - 2004

N2 - The paper proposes an hybrid Kalman filter integrating a robust and optimal algorithm for the use as an observer in model-varying predictive control (MVPC) of a nonlinear system. Moreover, a position MPC is derived in detail. Even though the proposed approach is quite general, a real case coming from automotive application is studied using computer simulation to demonstrate the effectiveness of the proposed technique. Simulations and results with real data are also discussed. © 2004 IEEE.

AB - The paper proposes an hybrid Kalman filter integrating a robust and optimal algorithm for the use as an observer in model-varying predictive control (MVPC) of a nonlinear system. Moreover, a position MPC is derived in detail. Even though the proposed approach is quite general, a real case coming from automotive application is studied using computer simulation to demonstrate the effectiveness of the proposed technique. Simulations and results with real data are also discussed. © 2004 IEEE.

KW - Engineering

KW - Actuators

KW - Disturbance estimation

KW - Model predictive control

KW - Two-stage Kalman filter

UR - http://www.scopus.com/inward/record.url?scp=21244454940&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/74a1a97f-f288-3fdc-a6ef-b440e2342fc5/

U2 - 10.1109/ICARCV.2004.1469318

DO - 10.1109/ICARCV.2004.1469318

M3 - Article in conference proceedings

SN - 0780386531

VL - 3

T3 - 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)

SP - 1699

EP - 1704

BT - 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Control, Automation, Robotics and Vision - ICARCV2004

Y2 - 6 December 2004 through 9 December 2004

ER -

DOI