Lasso MPC Predictive Control with l1 Regularised Least Squares is popular PDF and ePub book, written by Marco Gallieri in 2016-03-31, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Lasso MPC Predictive Control with l1 Regularised Least Squares can be Read Online from any device for your convenience.
Lasso MPC Predictive Control with l1 Regularised Least Squares Book PDF Summary
This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation. It features an l1-regularised least squares loss function, in which the control error variance competes with the sum of input channels magnitude (or slew rate) over the whole horizon length. While standard control techniques lead to continuous movements of all actuators, this approach enables a selected subset of actuators to be used, the others being brought into play in exceptional circumstances. The same approach can also be used to obtain asynchronous actuator interventions, so that control actions are only taken in response to large disturbances. This thesis presents a straightforward and systematic approach to achieving these practical properties, which are ignored by mainstream control theory.
Detail Book of Lasso MPC Predictive Control with l1 Regularised Least Squares PDF
- Author : Marco Gallieri
- Release : 31 March 2016
- Publisher : Springer
- ISBN : 9783319279633
- Genre : Technology & Engineering
- Total Page : 209 pages
- Language : English
- PDF File Size : 12,9 Mb
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