@article{Jerez:2012:10.1049/iet-cta.2010.0441,
author = {Jerez, JL and Ling, KV and Constantinides, GA and Kerrigan, EC},
doi = {10.1049/iet-cta.2010.0441},
journal = {IET Control Theory and Applications},
pages = {1029--1041},
title = {Model predictive control for deeply pipelined field-programmable gate array implementation: algorithms and circuitry},
url = {http://dx.doi.org/10.1049/iet-cta.2010.0441},
volume = {6},
year = {2012}
}

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TY  - JOUR
AB  - Model predictive control (MPC) is an optimisation-based scheme that imposes a real-time constraint on computingthe solution of a quadratic programming (QP) problem. The implementation of MPC in fast embedded systems presents newtechnological challenges. In this paper we present a parameterised field-programmable gate array implementation of acustomised QP solver for optimal control of linear processes with constraints, which can achieve substantial acceleration overa general purpose microprocessor, especially as the size of the optimisation problem grows. The focus is on exploiting thestructure and accelerating the computational bottleneck in a primal-dual interior-point method. We then introduce a new MPCformulation that can take advantage of the novel computational opportunities, in the form of parallel computational channels,offered by the proposed pipelined architecture to improve performance even further. This highlights the importance of theinteraction between the control theory and digital system design communities for the success of MPC in fast embedded systems.
AU  - Jerez,JL
AU  - Ling,KV
AU  - Constantinides,GA
AU  - Kerrigan,EC
DO  - 10.1049/iet-cta.2010.0441
EP  - 1041
PY  - 2012///
SN  - 1751-8652
SP  - 1029
TI  - Model predictive control for deeply pipelined field-programmable gate array implementation: algorithms and circuitry
T2  - IET Control Theory and Applications
UR  - http://dx.doi.org/10.1049/iet-cta.2010.0441
UR  - http://hdl.handle.net/10044/1/28933
VL  - 6
ER  - 

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