lasso mpc predictive control with 1 regularised least squares

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Lasso Mpc Predictive Control With L1 Regularised Least Squares

Author : Marco Gallieri
ISBN : 3319279610
Genre : Technology & Engineering
File Size : 39. 77 MB
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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.

Code Generation For Embedded Convex Optimization

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ISBN : STANFORD:qd834ss0073
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File Size : 47. 48 MB
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Convex optimization is widely used, in many fields, but is nearly always constrained to problems solved in a few minutes or seconds, and even then, nearly always with a human in the loop. The advent of parser-solvers has made convex optimization simpler and more accessible, and greatly increased the number of people using convex optimization. Most current applications, however, are for the design of systems or analysis of data. It is possible to use convex optimization for real-time or embedded applications, where the optimization solver is a part of a larger system. Here, the optimization algorithm must find solutions much faster than a generic solver, and often has a hard, real-time deadline. Use in embedded applications additionally means that the solver cannot fail, and must be robust even in the presence of relatively poor quality data. For ease of embedding, the solver should be simple, and have minimal dependencies on external libraries. Convex optimization has been successfully applied in such settings in the past. However, they have usually necessitated a custom, hand-written solver. This requires signficant time and expertise, and has been a major factor preventing the adoption of convex optimization in embedded applications. This work describes the implementation and use of a prototype code generator for convex optimization, CVXGEN, that creates high-speed solvers automatically. Using the principles of disciplined convex programming, CVXGEN allows the user to describe an optimization problem in a convenient, high-level language, then receive code for compilation into an extremely fast, robust, embeddable solver.

Model Predictive Control System Design And Implementation Using Matlab

Author : Liuping Wang
ISBN : 9781848823303
Genre : Computers
File Size : 25. 39 MB
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'Model Predictive Control System Design and Implementation Using MATLAB' proposes methods for the design and implementation of Model Predictive Control (MPC) systems using basis functions that confer many fundamental advantages.

Integration Of Renewable Generation And Elastic Loads Into Distribution Grids

Author : Omid Ardakanian
ISBN : 9783319399843
Genre : Technology & Engineering
File Size : 22. 2 MB
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This brief examines the challenges of integrating distributed energy resources and high-power elastic loads into low-voltage distribution grids, as well as the potential for pervasive measurement. It explores the control needed to address these challenges and achieve various system-level and user-level objectives. A mathematical framework is presented for the joint control of active end-nodes at scale, and extensive numerical simulations demonstrate that proper control of active end-nodes can significantly enhance reliable and economical operation of the power grid.

Modern Statistical Methods For Astronomy

Author : Eric D. Feigelson
ISBN : 9780521767279
Genre : Science
File Size : 28. 39 MB
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"Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Yet most astronomers still use a narrow suite of traditional statistical methods. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public-domain R statistical software environment"--

Wavelets And Filter Banks

Author : Gilbert Strang
ISBN : 0961408871
Genre : Technology & Engineering
File Size : 79. 76 MB
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A comprehensive treatment of wavelets for both engineers and mathematicians.

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