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Model Predictive Control: Theory, Computation, and Design, 2nd Edition Edition: 2
Model Predictive Control: Theory, Computation, and Design, 2nd Edition Edition: 2
Rawlings, James B.; Mayne, David Q.; Diehl, Moritz M.
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This text provides a comprehensive and foundational treatment of the theory, computation, and design of model predictive control. It will enable researchers to learn and teach the fundamentals of MPC without continuously searching the diverse control research literature for omitted arguments and requisite background material. More than 240 end-of-chapter exercises, 49 worked examples, 110 figures, and more than 300 assumptions, corollaries, definitions, lemmas, propositions, and theorems. The second edition of the text also treats new topics: economic MPC, MPC with discrete actuators, a more recent form of suboptimal MPC, stochastic MPC, a new treatment of state estimation, distributed MPC of nonlinear systems, and new software to compute the critical regions in explicit MPC.
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