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Keywords: identification
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Journal Articles
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. April 2019, 141(4): 041013.
Paper No: DS-17-1315
Published Online: January 7, 2019
...Vikas Prasad; Rajiv Tiwari Estimating residual unbalances of a flexible rotor that is fully levitated on active magnetic bearings (AMBs) are challenging tasks due to the modeling error of AMB rotordynamic parameters. In this work, an identification algorithm has been developed for the estimation...
Journal Articles
Article Type: Research-Article
J. Dyn. Sys., Meas., Control. November 2013, 135(6): 061004.
Paper No: DS-11-1161
Published Online: August 23, 2013
... identification nonlinear tracking control singular perturbation rotary hydraulic servo system The systems in which the suppression of a very small parameter is responsible for the degeneration or reduction of dimension or order of the system is labeled as singularly perturbed systems, which...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. January 2011, 133(1): 011001.
Published Online: November 23, 2010
...Chris S. Schulz; Donald L. Kunz; Norman M. Wereley System identification techniques are often used to determine the parameters required to define a model of a linear time invariant (LTI) system. The Cramer–Rao bound can be used to validate those parameters in order to ensure that the system model...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. March 2010, 132(2): 024501.
Published Online: February 2, 2010
... Volterra equations identification Volterra polynomial basis function (VPBF) variable mass underwater vehicle (VMUV) A number of techniques were developed for model selection and parameter estimation of nonlinear systems ( 1 2 3 ). The identification of nonlinear systems using neural...
Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. May 2009, 131(3): 031003.
Published Online: March 19, 2009
... are problematic in the sense that the modes are of low frequency, lightly damped, and often closely spaced. The proposed identification algorithm utilizes modal contribution coefficients to monitor the data collection. The algorithm is composed of a two-step process, where the input signal for the second step...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. November 2007, 129(6): 845–850.
Published Online: April 19, 2007
... control support vector machines synchronous generators uncertain systems nonlinear control systems inverse problems support vector machines (SVM) Taylor expansion identification Precise control of dynamic systems (“plants”) can be exceptionally difficult, especially when the system...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. November 2007, 129(6): 825–836.
Published Online: March 16, 2007
...Tae-Hyoung Kim; Xiaoguang Zheng; Toshiharu Sugie This paper considers the problems of both noise tolerant iterative learning control (ILC) and iterative identification for a class of continuous-time systems with unknown bounded input disturbance and measurement noise. To this aim, we first propose...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. March 2007, 129(2): 154–162.
Published Online: July 14, 2006
.... This is analogous to the persistent excitation condition for identification of discrete models. The proposed instrumental variable algorithm is demonstrated within an auto-tuning algorithm for feedback controllers based on plant inversion. In this application, the algorithm is only suitable for lower-order transfer...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. September 2006, 128(3): 746–749.
Published Online: September 1, 2005
...Manabu Kosaka; Hiroshi Uda; Eiichi Bamba; Hiroshi Shibata This study proposes a new deterministic off-line identification method that obtains a state-space model using input and output data with steady state values. This method comprises of two methods: Zeroing the 0 ∼ N -tuple integral values...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. June 2006, 128(2): 189–196.
Published Online: May 2, 2005
...T.-J. Yeh; Shin-Wen Lu; Ting-Ying Wu In this paper, a model and the associated identification procedure are proposed to precisely portray the hysteresis behavior in piezoelectric actuators. The model consists of basic physical elements and utilizes a Maxwell-slip structure to describe hysteresis...
Journal Articles
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 732–739.
Published Online: March 11, 2005
...Michael Vogt; Norbert Mu¨ller; Rolf Isermann Advanced control systems require accurate process models, while processes are often both nonlinear and time variant. After introducing the identification of nonlinear processes with grid-based look-up tables, a new learning algorithm for on-line...
Journal Articles
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 848–859.
Published Online: March 11, 2005
... on the analysis, an algorithm is developed to recover finite length signals and its validity and efficiency are demonstrated by simulation results. When the sensor model is not available, it is shown how a model identification scheme may be incorporated into the developed scheme. Experiments performed...
Journal Articles
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 800–810.
Published Online: March 11, 2005
..., 2003. Review conducted by: F. Ghorbel. 25 April 2002 27 September 2003 11 03 2005 micromechanical devices gyroscopes self-adjusting systems adaptive control identification convergence control system analysis robust control stability Gyroscopes are commonly used...
Journal Articles
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 834–847.
Published Online: March 11, 2005
...Yi Zhang; H. Harry Asada Multichannel blind system identification (MBSI) is a technique for estimating both an unknown input and unknown channel dynamics from outputs measured at different points of the system. MBSI is a powerful tool particularly for the identification and estimation of dynamical...
Journal Articles
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 746–752.
Published Online: March 11, 2005
...Manabu Kosaka; Hiroshi Uda; Hiroshi Shibata In this paper, we propose a deterministic off-line identification method performed by using input and output data with a constant steady-state output response. The method can directly acquire any order of reduced model without knowing the real order...
Journal Articles
Article Type: Technical Briefs
J. Dyn. Sys., Meas., Control. September 2005, 127(3): 499–502.
Published Online: August 17, 2004
... pneumatic systems pneumatic actuators stability feedback linearisation techniques time-varying systems Pneumatic Systems Identification Sliding-Mode Observer Feedback Linearization The nonlinearity that exists in compressed-air systems has introduced serious problems into the control...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. December 2003, 125(4): 595–606.
Published Online: January 29, 2004
...Mehrzad Namvar; Farhad Aghili This paper presents a combined scheme of identification and robust torque control for rotary hydraulic actuators. The composite controller consists of a dynamic feedback linearizing inner loop cascaded with an optimal l 1 - H ∞ feedback outer loop. The proposed...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2003, 125(3): 361–371.
Published Online: September 18, 2003
.... An open-architecture experimental web platform is developed for conducting real-time control experiments using the active dancer system. The active dancer system model is experimentally identified using the standard system identification techniques available in literature. Three types of control designs...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. June 2003, 125(2): 229–235.
Published Online: June 4, 2003
... Systems and Control Division, May 2002; final revision, December 2002. Associate Editor: N. Olgac. 01 May 2002 01 December 2002 04 06 2003 delay systems identification filtering theory uncertain systems statistical analysis The stochastic optimal guaranteed estimation...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. March 2003, 125(1): 1–10.
Published Online: March 10, 2003
...H. M. Park; W. J. Lee A method is developed for the recursive identification of thermal convection system governed by the Boussinesq equation using an extended Kalman filter. A computationally feasible Kalman filter is constructed by reducing the Boussinesq equation to a small number of ordinary...