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Lasso-MPC – Predictive Control with ℓ1-Regularised Least Squares
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…
- Edition
- -
- ISBN/ISSN
- 978-3-319-27963-3
- Collation
- -
- Series Title
- -
- Call Number
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Model Predictive Control
For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-24851-6
- Collation
- XIII, 384
- Series Title
- Advanced Textbooks in Control and Signal Processing
- Call Number
- -
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