Enhanced Model Predictive Control:Dual Control Approach and State Estimation Issues

The main contribution of this thesis is the advancement of Model Predictive Control (MPC). MPC is a well known and widely used advanced control technique, which is model-based and capable of handli ...

[1]  Patrick Boucher,et al.  Estimation of microalgal photobioreactor production based on total inorganic carbon in the medium , 2008 .

[2]  Robert R. Bitmead,et al.  Experiences with model predictive control applied to a nonlinear constrained submarine , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[3]  Fuzhen Zhang.  The Schur complement and its applications , 2005 .

[4]  Guy Albert Dumont,et al.  Dual adaptive control of chip refiner motor load , 1995, Autom..

[5]  C. Richard Johnson,et al.  Exponential convergence of adaptive identification and control algorithms , 1981, Autom..

[6]  Graham C. Goodwin,et al.  Adaptive filtering prediction and control , 1984 .

[7]  J. Rawlings,et al.  The stability of constrained receding horizon control , 1993, IEEE Trans. Autom. Control..

[8]  Eduardo F. Camacho,et al.  Constrained Model Predictive Control , 2007 .

[9]  Steinar Kolås,et al.  State estimation IS the real challenge in NMPC , 2008 .

[10]  S. Julier,et al.  A General Method for Approximating Nonlinear Transformations of Probability Distributions , 1996 .

[11]  Steinar Kolås,et al.  Estimation in nonlinear constrained systems with severe disturbances , 2008 .

[12]  Yasushi Hada,et al.  Constrained Model Predictive Control , 2006 .

[13]  Arsène Isambert,et al.  Modelling of a continuous pilot photobioreactor for microalgae production , 1999 .

[14]  A. Bemporad,et al.  Model Predictive Control Design: New Trends and Tools , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[15]  D. Simon.  Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches , 2006 .

[16]  R. Braatz,et al.  Handling state and output constraints in MPC using time-dependent weights , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[17]  A. Aoyama,et al.  Implementation issues in quadratic model predictive control , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[18]  Robert R. Bitmead,et al.  Model Predictive Control with State Dependent Input Weight: an Application to Underwater Vehicles , 2008 .

[19]  Bjarne A. Foss,et al.  Applying the unscented Kalman filter for nonlinear state estimation , 2008 .

[20]  M. Kothare,et al.  Robust constrained model predictive control using linear matrix inequalities , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[21]  E. Bai,et al.  Persistency of excitation, sufficient richness and parameter convergence in discrete time adaptive control☆ , 1985 .

[22]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[23]  B. Wittenmark.  Adaptive dual control , 2002 .

[24]  Rudolph van der Merwe,et al.  The square-root unscented Kalman filter for state and parameter-estimation , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[25]  C. R. Cutler,et al.  Dynamic matrix control¿A computer control algorithm , 1979 .

[26]  D. Bayard,et al.  Implicit dual control for general stochastic systems , 1985 .

[27]  Jean-François Cornet,et al.  A gas phase chromatography method for determination of low dissolved CO2 concentration and/or CO2 solubility in microbial culture media , 1995 .

[28]  John B. Moore,et al.  Persistence of excitation in extended least squares , 1983 .

[29]  A. G. Butkovskiy,et al.  Optimal control of systems , 1966 .

[30]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[31]  John B. Moore,et al.  Persistence of Excitation in Linear Systems , 1985, 1985 American Control Conference.

[32]  Thomas Kailath,et al.  Linear Systems , 1980 .

[33]  Denis Dochain,et al.  State and parameter estimation in chemical and biochemical processes: a tutorial , 2003 .

[34]  Y. Bar-Shalom.  Stochastic dynamic programming: Caution and probing , 1981 .

[35]  Janet R. Stein-Taylor.  Culture methods and growth measurements , 1973 .

[36]  David Q. Mayne,et al.  Nonlinear Model Predictive Control:Challenges and Opportunities , 2000 .

[37]  Y. Bar-Shalom,et al.  Concepts and Methods in Stochastic Control , 1976 .

[38]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[39]  J. Vada.  Prioritized infeasibility handling in linear model predictive control : optimality and efficiency , 2000 .

[40]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[41]  Robert R. Bitmead,et al.  Interaction between Control and State Estimation in Nonlinear MPC , 2004 .

[42]  Gildas Besancon,et al.  A viewpoint on observability and observer design for nonlinear systems , 1999 .

[43]  Iven Mareels,et al.  Sufficiency of excitation , 1984 .

[44]  B. Anderson,et al.  Exponential convergence of adaptive identification and control algorithms , 1981, Autom..

[45]  Giancarlo Marafioti,et al.  State Estimation in Nonlinear Model Predictive Control, Unscented Kalman Filter Advantages , 2009 .

[46]  Y. Bar-Shalom,et al.  Dual effect, certainty equivalence, and separation in stochastic control , 1974 .

[47]  H. Genceli,et al.  New approach to constrained predictive control with simultaneous model identification , 1996 .

[48]  J. Sternby.  A simple dual control problem with an analytical solution , 1976 .

[49]  Kazuyuki Shimizu,et al.  A tutorial review on bioprocess systems engineering , 1996 .

[50]  R. Bitmead,et al.  PERSISTENTLY EXCITING MODEL PREDICTIVE CONTROL USING FIR MODELS , 2010 .

[51]  Thomas F. Edgar,et al.  Constrained Nonlinear Estimation for Industrial Process Fouling , 2010 .

[52]  Robert R. Bitmead,et al.  Nonlinear control for an autonomous underwater vehicle (AUV) preserving linear design capabilities , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[53]  Tamer Basar,et al.  Dual Control Theory , 2001 .

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

[55]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[56]  Peilin Fu,et al.  Research on Dual Control , 2005 .

[57]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.

[58]  Luigi Chisci,et al.  Systems with persistent disturbances: predictive control with restricted constraints , 2001, Autom..

[59]  Pravin Varaiya,et al.  Stochastic Systems: Estimation, Identification, and Adaptive Control , 1986 .

[60]  Ahmed Ismail,et al.  Dual adaptive control of paper coating , 2003, IEEE Trans. Control. Syst. Technol..

[61]  A. A. Feldbaum,et al.  DUAL CONTROL THEORY, IV , 1961 .

[62]  E. Camacho,et al.  Generalized Predictive Control , 2007 .

[63]  K. Lim,et al.  Generalized Predictive Control of , 2022 .

[64]  O. A. Sotomayor,et al.  Closed-loop model re-identification of processes under MPC with zone control , 2009 .

[65]  S. Liberty,et al.  Linear Systems , 2010, Scientific Parallel Computing.

[66]  Rudolph van der Merwe,et al.  The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

[67]  Björn Wittenmark,et al.  Adaptive Dual Control Methods: An Overview , 1995 .

[68]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

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