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Efficient Embedded Model Predictive Vibration Control via Convex Lifting

delete2019-01-01
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OA
AI
M
Martin Gulan *
G
Gergely Takács
N
Ngoc Anh Nguyen
S
Sorin Olaru
P
Pedro Rodríguez-Ayerbe
B
Boris Rohal’-Ilkiv
DOI:10.1109/TCST.2017.2764019delete
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摘要

摘要

En 中文
This paper presents an efficient real-time implementation of embedded model predictive control, adopted in the context of active vibration control with the objective of minimizing the tip deflection of lightly damped cantilever beams. In particular, we focus on memory and time-efficient explicit solutions of the associated constrained optimal control problems that are easily implementable on low-end embedded hardware. To this end, we exploit the concept of convex lifting and show how it can be used to devise low-complexity, regionless piecewise affine controllers without any loss of optimality and performance. The efficiency of this constructive procedure is quantified via an extensive complexity analysis, evidenced by a successful practical deployment and optimal vibration control performance using a family of 32-bit ARM Cortex-M-based microcontroller platforms.
Keyword:
Convex lifting
embedded systems
explicit solutions
model predictive control (MPC)
vibration control
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IEEE Transactions on Control Systems Technology 封面图
IEEE Transactions on Control Systems Technology
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3.9
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4.9K
被引数:
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slovak university of technology bratislava
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3.7K
论文数: 2.8K
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Universite Paris Saclay
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