Model Predictive Control (MPC) for Constrained Nonlinear Systems

Model Predictive Control (MPC) for Constrained Nonlinear Systems

<p>This thesis addresses the development of stabilizing model predictive control algorithms for nonlinear systems subject to input and state constraints and in the presence of parametric and/or structural uncertainty, disturbances and measurement noise.</p> <p>Our basic model pr...

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Bibliographic Details
Main Author: De Oliveira, Simone Loureiro
Format: Others
Published: 1996
Online Access:https://thesis.library.caltech.edu/5069/4/DeOliveira_sl_1996.pdf
De Oliveira, Simone Loureiro (1996) Model Predictive Control (MPC) for Constrained Nonlinear Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/MXYW-TB71. https://resolver.caltech.edu/CaltechETD:etd-12192007-112031 <https://resolver.caltech.edu/CaltechETD:etd-12192007-112031>

Internet

https://thesis.library.caltech.edu/5069/4/DeOliveira_sl_1996.pdf
De Oliveira, Simone Loureiro (1996) Model Predictive Control (MPC) for Constrained Nonlinear Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/MXYW-TB71. https://resolver.caltech.edu/CaltechETD:etd-12192007-112031 <https://resolver.caltech.edu/CaltechETD:etd-12192007-112031>

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