Direct voltage control of magnetorheological damper for vehicle suspensions
暂无分享,去创建一个
[1] S. Shokat,et al. 電界応答性キトサン-ポリ(N,N-ジメチルアクリルアミド)セミIPNゲル膜およびそれらの誘電,熱および膨潤キャラクタリゼーション , 2013 .
[2] Peter Liu,et al. Sensorless linear induction motor speed tracking using fuzzy observers , 2011 .
[3] Felix Weber,et al. Bouc–Wen model-based real-time force tracking scheme for MR dampers , 2013 .
[4] Wen Fang Xie,et al. Optimized Control of Semiactive Suspension Systems Using H $_\infty$ Robust Control Theory and Current Signal Estimation , 2012, IEEE/ASME Transactions on Mechatronics.
[5] Zushu Li,et al. A Comparison of Suitable Control Methods for Full Vehicle with Four MR Dampers Part II Controller Synthesis and Road Test Validation , 2009 .
[6] Wei-Hsin Liao,et al. Vibration Control of a Suspension System via a Magnetorheological Fluid Damper , 2002 .
[7] S. Narayanan,et al. Response of a quarter car model with optimal magnetorheological damper parameters , 2013 .
[8] Kevin A. Snook,et al. 縦方向電界場中で曲げたPIN-PMN-PT単結晶の強度 , 2011 .
[9] B. F. Spencer. Reliability of Randomly Excited Hysteretic Structures , 1986 .
[10] Hak-Keung Lam,et al. Stability Analysis of Fuzzy-Model-Based Control Systems - Linear-Matrix-Inequality Approach , 2011, Studies in Fuzziness and Soft Computing.
[11] L. Felix-Herran,et al. Control of a semi-active suspension with a magnetorheological damper modeled via Takagi-Sugeno , 2010, 18th Mediterranean Conference on Control and Automation, MED'10.
[12] B. Marx,et al. Brief paper: state estimation of Takagi-Sugeno systems with unmeasurable premise variables , 2010 .
[13] Kazuo Tanaka,et al. Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .
[14] David J. Wagg,et al. Quasi-active suspension design using magnetorheological dampers , 2011 .
[15] D. Hrovat,et al. Survey of Advanced Suspension Developments and Related Optimal Control Applications, , 1997, Autom..
[16] Haiping Du,et al. Model-based Fuzzy Control for Buildings Installed with Magneto-rheological Dampers: , 2009 .
[17] Wei-Hsin Liao,et al. Magnetorheological fluid dampers: a review of parametric modelling , 2011 .
[18] Charles Poussot-Vassal,et al. A new semi-active suspension control strategy through LPV technique , 2008 .
[19] Hui-Wen Tu,et al. LMI-Based Sensorless Control of Permanent-Magnet Synchronous Motors , 2007, IEEE Transactions on Industrial Electronics.
[20] Nong Zhang,et al. Application of evolving Takagi-Sugeno fuzzy model to nonlinear system identification , 2008, Appl. Soft Comput..
[21] Young-Pil Park,et al. H8 Control Performance of a Full-Vehicle Suspension Featuring Magnetorheological Dampers , 2002 .
[22] Seung-Bok Choi,et al. Human simulated intelligent control of vehicle suspension system with MR dampers , 2009 .
[23] Shirley J. Dyke,et al. Semiactive Control Strategies for MR Dampers: Comparative Study , 2000 .
[24] R. A. Williams,et al. Automotive Active Suspensions , 1992 .
[25] Konghui Guo,et al. Constrained H/sub /spl infin// control of active suspensions: an LMI approach , 2005, IEEE Transactions on Control Systems Technology.
[26] Mehdi Ahmadian,et al. Non-dimensionalised closed-form parametric analysis of semi-active vehicle suspensions using a quarter-car model , 2011 .
[27] Faryar Jabbari,et al. Actuator Saturation and Control Design for Buildings under Seismic Excitation , 2002 .
[28] Josep Boada. Satellite control with saturating inputs. , 2010 .
[29] Seung-Bok Choi,et al. VIBRATION CONTROL OF A SEMI-ACTIVE SUSPENSION FEATURING ELECTRORHEOLOGICAL FLUID DAMPERS , 2000 .
[30] Shouhu Xuan,et al. Inverse neuro-fuzzy MR damper model and its application in vibration control of vehicle suspension system , 2012 .
[31] Sung Hoon Ha,et al. Design and vibration control of military vehicle suspension system using magnetorheological damper and disc spring , 2013 .
[32] Zongli Lin,et al. Robust stability analysis and fuzzy-scheduling control for nonlinear systems subject to actuator saturation , 2003, IEEE Trans. Fuzzy Syst..
[33] Abdelhamid Rabhi,et al. Vehicle dynamics and road geometry estimation using a Takagi-Sugeno fuzzy observer with unknown inputs , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).
[34] Shirley J. Dyke,et al. PHENOMENOLOGICAL MODEL FOR MAGNETORHEOLOGICAL DAMPERS , 1997 .
[35] H. R. Karimi,et al. Semiactive Control Methodologies for Suspension Control With Magnetorheological Dampers , 2012, IEEE/ASME Transactions on Mechatronics.
[36] Yan Shen,et al. Robust modelling and control of vehicle active suspension with MR damper , 2008 .
[37] James Lam,et al. Modelling of a magneto-rheological damper by evolving radial basis function networks , 2006, Eng. Appl. Artif. Intell..
[38] Jun Yoneyama,et al. Hinfinity filtering for fuzzy systems with immeasurable premise variables: An uncertain system approach , 2009, Fuzzy Sets Syst..
[39] P. Khargonekar,et al. An algebraic Riccati equation approach to H ∞ optimization , 1988 .
[40] Miao Yu,et al. Comparative research on semi-active control strategies for magneto-rheological suspension , 2010 .
[41] Tudor Sireteanu,et al. Semi-active Suspension Control: Improved Vehicle Ride and Road Friendliness , 2008 .
[42] G Chen,et al. MR damper and its application for semi-active control of vehicle suspension system , 2002 .
[43] James Lam,et al. Semi-active H∞ control of vehicle suspension with magneto-rheological dampers , 2005 .
[44] R. A. Williams. Automotive active suspensions Part 1: Basic principles , 1997 .
[45] H. Metered,et al. An investigation into the use of neural networks for the semi-active control of a magnetorheologically damped vehicle suspension , 2010 .