Indirect System Identification for Unknown Input Problems : With Applications to Ships

System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully kn ...

[1]  Johan Sjöberg,et al.  Interactive multiobjective optimization for the hot rolling process , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[2]  Moritz Diehl,et al.  The Lifted Newton Method and Its Application in Optimization , 2009, SIAM J. Optim..

[3]  Biao Huang,et al.  System Identification , 2000, Control Theory for Physicists.

[4]  Torsten Söderström,et al.  Can errors-in-variables systems be identified from closed-loop experiments? , 2013, Autom..

[5]  Odd M. Faltinsen,et al.  Hydrodynamics of High-Speed Marine Vehicles , 2006 .

[6]  Fredrik Gustafsson,et al.  Identifiability of physical parameters in systems with limited sensors , 2014 .

[7]  Liuping Wang,et al.  Identification of Continuous-time Models from Sampled Data , 2008 .

[8]  Umberto Soverini,et al.  Optimal errors-in-variables filtering , 2003, Autom..

[9]  Torsten Söderström,et al.  Identification of stochastic linear systems in presence of input noise , 1981, Autom..

[10]  Dennis S. Bernstein,et al.  Sensor-to-sensor identification of Hammerstein systems , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[11]  Fredrik Gunnarsson,et al.  Uplink load in CDMA cellular radio systems , 2006, IEEE Transactions on Vehicular Technology.

[12]  Ludwik Balcer Location of ship rolling axis , 2004 .

[13]  Odd M. Faltinsen,et al.  Sea loads on ships and offshore structures , 1990 .

[14]  K. Edström Switched Bond Graphs : Simulation and Analysis , 1999 .

[15]  Lennart Ljung,et al.  Closed-loop identification revisited , 1999, Autom..

[16]  Arne G. Dankers System Identification in Dynamic Networks , 2014 .

[17]  P. Müller,et al.  Disturbance decoupled observer design: a unified viewpoint , 1994, IEEE Trans. Autom. Control..

[18]  M. Fliess,et al.  Nonlinear observability, identifiability, and persistent trajectories , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[19]  Paul M. J. Van den Hof,et al.  An indirect method for transfer function estimation from closed loop data , 1993, Autom..

[20]  Predrag Pucar Modeling and Segmentation using Multiple Models , 1995 .

[21]  Christian Lundquist,et al.  On Extended Target Tracking Using PHD Filters , 2012 .

[22]  Daniel Ankelhed,et al.  On design of low order H-infinity controllers , 2011 .

[23]  Thor I. Fossen,et al.  Nonlinear Modelling And Control Of Underwater Vehicles , 1994 .

[24]  Frida Eng,et al.  Non-Uniform Sampling in Statistical Signal Processing , 2007 .

[25]  Ingo Drummen Experimental and Numerical Investigation of Nonlinear Wave-Induced Load Effects in Containerships considering Hydroelasticity , 2008 .

[26]  P. Young,et al.  Optimal instrumental variable method for closed-loop identification , 2011 .

[27]  J. Gillis,et al.  Classical dynamics of particles and systems , 1965 .

[28]  Alexandre S. Bazanella,et al.  Identification in dynamic networks: Identifiability and experiment design issues , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[29]  Jonas Linder,et al.  On Indirect Input Measurements , 2015 .

[30]  Jonathan R. Partington,et al.  On linear models for nonlinear systems , 2003, Autom..

[31]  Xavier Bombois,et al.  Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection , 2016, IEEE Transactions on Automatic Control.

[32]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[33]  Inger Klein,et al.  Automatic Synthesis of Sequential Control Schemes , 1993 .

[34]  B. Pasik-Duncan,et al.  Adaptive Control , 1996, IEEE Control Systems.

[35]  J. Sjöberg Non-Linear System Identification with Neural Networks , 1995 .

[36]  Mats Viberg,et al.  Subspace fitting concepts in sensor array processing , 1990 .

[37]  Maxime Thys Theoretical and experimental investigation of a free running fishing vessel at small frequency of encounter , 2013 .

[38]  Christian Lundquist,et al.  Sensor fusion for automotive applications , 2011 .

[39]  M. Hautus Strong detectability and observers , 1983 .

[40]  Jonas Linder,et al.  Identification and prediction in dynamic networks with unobservable nodes , 2017 .

[41]  Zoran Sjanic,et al.  Navigation and Mapping for Aerial Vehicles Based on Inertial and Imaging Sensors , 2013 .

[42]  Arun K. Tangirala,et al.  Principles of System Identification , 2014 .

[43]  Xavier Bombois,et al.  Predictor input selection for two stage identification in dynamic networks , 2013, 2013 European Control Conference (ECC).

[44]  Arne G. Dankers,et al.  Predictor input selection for direct identification in dynamic networks , 2013, 52nd IEEE Conference on Decision and Control.

[45]  Umberto Soverini,et al.  Algorithms for optimal errors-in-variables filtering , 2003, Syst. Control. Lett..

[46]  Xavier Bombois,et al.  Identification and the Information Matrix: How to Get Just Sufficiently Rich? , 2009, IEEE Transactions on Automatic Control.

[47]  Ericka Rovira,et al.  Understanding reliance on automation: effects of error type, error distribution, age and experience , 2014, Theoretical issues in ergonomics science.

[48]  Umberto Soverini,et al.  Kalman filtering in extended noise environments , 2005, IEEE Transactions on Automatic Control.

[49]  Dennis S. Bernstein,et al.  Sensor-Only Noncausal Blind Identification of Pseudo Transfer Functions , 2009 .

[50]  B. Lautrup Physics of Continuous Matter: Exotic and Everyday Phenomena in the Macroscopic World , 2004 .

[51]  A. Krener,et al.  Nonlinear controllability and observability , 1977 .

[52]  Lennart Ljung,et al.  On global identifiability for arbitrary model parametrizations , 1994, Autom..

[53]  Y. Takane,et al.  Generalized Inverse Matrices , 2011 .

[54]  Mogens Blanke,et al.  Rudder-Roll Damping Autopilot Robustness to Sway-Yaw-Roll Couplings , 1993 .

[55]  Arild Thowsen,et al.  Structural identifiability , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

[56]  Peter C. Young,et al.  The advantages of directly identifying continuous-time transfer function models in practical applications , 2014, Int. J. Control.

[57]  A. E. Bryson,et al.  Estimation using sampled data containing sequentially correlated noise. , 1967 .

[58]  Anders Helmersson,et al.  Methods for robust gain scheduling , 1995 .

[59]  T. Söderström,et al.  Instrumental variable methods for system identification , 1983 .

[60]  Urban Forssell Closed-loop Identification : Methods, Theory, and Applications , 1999 .

[61]  Johan Sjöberg,et al.  Interactive Multiobjective Optimization for a Grab-Shift Unloader Crane , 2014 .

[62]  M. Anguelova Observability and identifiability of nonlinear systems with applications in biology , 2007 .

[63]  R. Patton,et al.  Optimal filtering for systems with unknown inputs , 1998, IEEE Trans. Autom. Control..

[64]  Johan Dahlin,et al.  Accelerating Monte Carlo methods for Bayesian inference in dynamical models , 2016 .

[65]  Toshifumi Fujiwara,et al.  Roll Motion of Ro-Ro Passenger Ship With Flooded Vehicle Deck , 2005 .

[66]  Alex Simpkins,et al.  System Identification: Theory for the User, 2nd Edition (Ljung, L.; 1999) [On the Shelf] , 2012, IEEE Robotics & Automation Magazine.

[67]  Karim Abed-Meraim,et al.  Blind system identification , 1997, Proc. IEEE.

[68]  Marion Gilson,et al.  Instrumental variable methods for closed-loop system identification , 2005, Autom..

[69]  Sina Khoshfetrat Pakazad,et al.  Divide and Conquer: Distributed Optimization and Robustness Analysis , 2015 .

[70]  Christof Devriendt,et al.  Identification of modal parameters from transmissibility measurements , 2008 .

[71]  Hugues Garnier,et al.  Identification of continuous-time errors-in-variables models , 2006, Autom..

[72]  A. Bryson,et al.  Linear filtering for time-varying systems using measurements containing colored noise , 1965 .

[73]  Jonas Linder,et al.  Interactive multiobjective optimization with application to hot rolling mills , 2011 .

[74]  Martin Enqvist,et al.  Estimating models of inverse systems , 2013, 52nd IEEE Conference on Decision and Control.

[75]  Ulrik Dam Nielsen The wave buoy analogy — estimating high-frequency wave excitations , 2008 .

[76]  Alexandre S. Bazanella,et al.  Closed-loop identification of MIMO systems: a new look at identifiability and experiment design , 2007, 2007 European Control Conference (ECC).

[77]  J. M. N. Silva,et al.  THE TRANSMISSIBILITY CONCEPT IN MULTI-DEGREE-OF-FREEDOM SYSTEMS , 2001 .

[78]  Fredrik Gustafsson,et al.  Modeling for IMU-based Online Estimation of a Ship's Mass and Center of Mass , 2015 .

[79]  Ulrik Dam Nielsen,et al.  The Wave Buoy Analogy: Analysis of Synthetic Data by Bayesian Modelling , 2010 .

[80]  Robert H. Shumway,et al.  Time series analysis and its applications : with R examples , 2017 .

[81]  Bart De Moor,et al.  Linear dynamic filtering with noisy input and output , 2005, Autom..

[82]  Andrew Ross,et al.  Nonlinear Manoeuvring Models for Ships: A Lagrangian Approach , 2008 .

[83]  Rik Pintelon,et al.  Identification of Linear Systems: A Practical Guideline to Accurate Modeling , 1991 .

[84]  F. Gustafsson Estimation of Discrete Parameters in Linear Systems , 1993 .

[85]  Paul M. J. Van den Hof,et al.  Delay structure conditions for identifiability of closed loop systems , 1992, Autom..

[86]  Zhijie Xia,et al.  Modeling and control of flexible manipulators , 1992 .

[87]  Eve A. Riskin,et al.  Signals, Systems, and Transforms , 1994 .

[88]  Jonas Linder,et al.  Identification of systems with unknown inputs using indirect input measurements , 2017, Int. J. Control.

[89]  Per Skoglar,et al.  Tracking and Planning for Surveillance Applications , 2012 .

[90]  P. Lancaster,et al.  The theory of matrices : with applications , 1985 .

[91]  B. Bengtsson On some Control Problems for Queues , 1982 .

[92]  Ulrik Dam Nielsen,et al.  Response-based estimation of sea state parameters — influence of filtering , 2007 .

[93]  Karl Johan Åström,et al.  Adaptive autopilots for tankers , 1979, Autom..

[94]  Ulrik Dam Nielsen,et al.  A Study on Parametric Wave Estimation Based on Measured Ship Motions , 2012 .

[95]  U. Forssell,et al.  Efficiency of prediction error and instrumental variable methods for closed-loop identification , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[96]  André Carvalho Bittencourt,et al.  On Modeling and Diagnosis of Friction and Wear in Industrial Robots , 2014 .

[97]  P. Young,et al.  A REFINED IV METHOD FOR CLOSED-LOOP SYSTEM IDENTIFICATION , 2006 .

[98]  Torsten Söderström,et al.  Errors-in-variables methods in system identification , 2018, Autom..

[99]  Graham C. Goodwin,et al.  Feedback linearization design of a ship steering autopilot with saturating and slew rate limiting actuator , 1999 .

[100]  Alexandre N. Simos,et al.  Estimating directional wave spectrum based on stationary ship motion measurements , 2003 .

[101]  Xavier Bombois,et al.  Identification of dynamic models in complex networks with prediction error methods - Basic methods for consistent module estimates , 2013, Autom..

[102]  Toshio Iseki,et al.  Bayesian Estimation of Directional Wave Spectra For Ship Guidance System , 2002 .

[103]  Leigh McCue,et al.  Handbook of Marine Craft Hydrodynamics and Motion Control [Bookshelf] , 2016, IEEE Control Systems.

[104]  Fredrik Gustafsson,et al.  Online Estimation of Ship's Mass and Center of Mass Using Inertial Measurements , 2015 .