1. Please pick one system and elaborate how you would design a model predictive control (MPC) system, which we learned in class, to this system in detail. More specifically, you may want to elaborate (1) the manipulated variables, (2) state/input constraints, (3) cost function, (4) MPC formulation (which includes everything above in the form of a quadratic program- ming optimization problem), and (5) key challenges associated with solving the optimization problem for MPC.
1. Please pick one system and elaborate how you would design a model predictive control (MPC) system, which we learned in class, to this system in detail. More specifically, you may want to elaborate (1) the manipulated variables, (2) state/input constraints, (3) cost function, (4) MPC formulation (which includes everything above in the form of a quadratic program- ming optimization problem), and (5) key challenges associated with solving the optimization problem for MPC.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Transcribed Image Text:1. Please pick one system and elaborate how you would design a model predictive control (MPC)
system, which we learned in class, to this system in detail. More specifically, you may want
to elaborate (1) the manipulated variables, (2) state/input constraints, (3) cost function,
(4) MPC formulation (which includes everything above in the form of a quadratic program-
ming optimization problem), and (5) key challenges associated with solving the optimization
problem for MPC.
2. Please explain what would be the key limitation of the Koopman approaches we discussed in
class. How you would like to improve the limitations? Please provide one or two alternative
ideas for each of them.
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