Assessment and Future Directions of Nonlinear Model Predictive Control

ISBN: 978-3-540-72698-2 (Print) 978-3-540-72699-9 (Online)

Table of contents (53 chapters)

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  1. Front Matter

    Pages I-XII

  2. Foundations and History of NMPC

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      Book Chapter

      Pages 1-16

      Nonlinear Model Predictive Control: An Introductory Review

  3. Theoretical Aspects of NMPC

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      Book Chapter

      Pages 17-34

      Hybrid MPC: Open-Minded but Not Easily Swayed

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      Book Chapter

      Pages 35-48

      Conditions for MPC Based Stabilization of Sampled-Data Nonlinear Systems Via Discrete-Time Approximations

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      Book Chapter

      Pages 49-62

      A Computationally Efficient Scheduled Model Predictive Control Algorithm for Control of a Class of Constrained Nonlinear Systems

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      Book Chapter

      Pages 63-76

      The Potential of Interpolation for Simplifying Predictive Control and Application to LPV Systems

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      Book Chapter

      Pages 77-91

      Techniques for Uniting Lyapunov-Based and Model Predictive Control

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      Book Chapter

      Pages 93-103

      Discrete-Time Non-smooth Nonlinear MPC: Stability and Robustness

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      Book Chapter

      Pages 105-113

      Model Predictive Control for Nonlinear Sampled-Data Systems

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      Book Chapter

      Pages 115-129

      Sampled-Data Model Predictive Control for Nonlinear Time-Varying Systems: Stability and Robustness

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      Book Chapter

      Pages 131-139

      On the Computation of Robust Control Invariant Sets for Piecewise Affine Systems

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      Book Chapter

      Pages 141-149

      Nonlinear Predictive Control of Irregularly Sampled Data Systems Using Identified Observers

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      Book Chapter

      Pages 151-162

      Nonlinear Model Predictive Control: A Passivity-Based Approach

  4. Numerical Aspects of NMPC

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      Pages 163-179

      Numerical Methods for Efficient and Fast Nonlinear Model Predictive Control

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      Book Chapter

      Pages 181-192

      Computational Aspects of Approximate Explicit Nonlinear Model Predictive Control

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      Book Chapter

      Pages 193-205

      Towards the Design of Parametric Model Predictive Controllers for Non-linear Constrained Systems

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      Book Chapter

      Pages 207-216

      Interior-Point Algorithms for Nonlinear Model Predictive Control

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      Book Chapter

      Pages 217-228

      Hard Constraints for Prioritized Objective Nonlinear MPC

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      Book Chapter

      Pages 229-238

      A Nonlinear Model Predictive Control Framework as Free Software: Outlook and Progress Report

  5. Robustness, Robust Design, and Uncertainty

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      Book Chapter

      Pages 239-254

      Robustness and Robust Design of MPC for Nonlinear Discrete-Time Systems

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      Book Chapter

      Pages 255-268

      MPC for Stochastic Systems

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