A Multiresolution Approximation Method for Fast Explicit Model Predictive Control


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Date

2011-11

Publication Type

Journal Article

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Abstract

A model predictive control law is given by the solution to a parametric optimization problem that can be pre-computed offline and provides an explicit map from state to control input. In this paper, an algorithm is introduced based on wavelet multiresolution analysis that returns a low complexity explicit model predictive control law built on a hierarchy of second-order interpolets. The resulting interpolation is shown to be everywhere feasible and continuous. Further, tests to confirm stability and to compute a bound on the performance loss are introduced. Since the controller approximation is built on a grid hierarchy, convergence to a stabilizing control law is guaranteed and the evaluation of the control law in real-time systems is naturally fast and runs in a bounded logarithmic time. Two examples are provided; A two-dimensional example with an evaluation speed of 31 ns and a four-dimensional example with an evaluation speed of 119 ns.

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published

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Volume

56 (11)

Pages / Article No.

2530 - 2541

Publisher

IEEE

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Subject

Explicit model predictive control (MPC); Fast MPC; Multiscale methods; Model predictive control; Receding-horizon control

Organisational unit

03751 - Lygeros, John / Lygeros, John check_circle
03416 - Morari, Manfred (emeritus) check_circle

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