Homothetic tube model predictive control

The robust model predictive control for constrained linear discrete time systems is solved through the development of a homothetic tube model predictive control synthesis method. The method employs several novel features including a more general parameterization of the state and control tubes based on homothety and invariance, a more flexible form of the terminal constraint set and a relaxation of the controlled dynamics of the sets that define the state and control tubes. Under natural assumptions, the proposed method is computationally efficient and it induces strong system theoretic properties.

[1]  Mato Baotic,et al.  Multi-Parametric Toolbox (MPT) , 2004, HSCC.

[2]  W. J. Thron,et al.  Encyclopedia of Mathematics and its Applications. , 1982 .

[3]  Franco Blanchini,et al.  Set-theoretic methods in control , 2007 .

[4]  R. Findeisen,et al.  Simple Homothetic Tube Model Predictive Control , 2010 .

[5]  Zvi Artstein,et al.  Feedback and invariance under uncertainty via set-iterates , 2008, Autom..

[6]  E. Gilbert,et al.  Theory and computation of disturbance invariant sets for discrete-time linear systems , 1998 .

[7]  David Q. Mayne,et al.  Invariant approximations of the minimal robust positively Invariant set , 2005, IEEE Transactions on Automatic Control.

[8]  B. Bank,et al.  Non-Linear Parametric Optimization , 1983 .

[9]  Stephen J. Wright,et al.  Application of Interior-Point Methods to Model Predictive Control , 1998 .

[10]  Sasa V. Rakovic,et al.  Parameterized Robust Control Invariant Sets for Linear Systems: Theoretical Advances and Computational Remarks , 2010, IEEE Transactions on Automatic Control.

[11]  K. T. Tan,et al.  Linear systems with state and control constraints: the theory and application of maximal output admissible sets , 1991 .

[12]  David Q. Mayne,et al.  Robust output feedback model predictive control of constrained linear systems: Time varying case , 2009, Autom..

[13]  Basil Kouvaritakis,et al.  Constrained receding horizon predictive control for nonlinear systems , 2002, Autom..

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

[15]  S. Raković Set Theoretic Methods in Model Predictive Control , 2009 .

[16]  David Q. Mayne,et al.  Robust model predictive control of constrained linear systems with bounded disturbances , 2005, Autom..

[17]  F. Blanchini Ultimate boundedness control for uncertain discrete-time systems via set-induced Lyapunov functions , 1994, IEEE Trans. Autom. Control..

[18]  F. Blanchini Control synthesis for discrete time systems with control and state bounds in the presence of disturbances , 1990 .

[19]  David Q. Mayne,et al.  Optimized robust control invariance for linear discrete-time systems: Theoretical foundations , 2007, Autom..