Abstract
Model predictive control (MPC) is indisputably one of the rare modern control techniques that has significantly affected control engineering practice due to its natural ability to systematically handle constraints and optimize performance. Robust MPC is an improved form of MPC that is intrinsically robust in the face of uncertainty. The main goal of robust MPC is to devise an optimization-based control synthesis method that accounts for the intricate interactions of the uncertainty with the system, constraints, and performance criteria in a theoretically rigorous and computationally tractable way.
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Raković, S. (2020). Robust Model Predictive Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_2-3
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-3
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Latest
Robust Model Predictive Control- Published:
- 08 November 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-3
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Robust Model Predictive Control
- Published:
- 10 September 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-2
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Original
Robust Model-Predictive Control- Published:
- 07 March 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-1