Gaussian Process Based Stochastic Model Predictive Control of Linear System with Bounded Additive Uncertainty
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8018-5_20
Reference20 articles.
1. Mayne, D.Q.: Model predictive control: recent developments and future promise. Automatica 50(12), 2967–2986 (2014)
2. Li, H., Yan, W., Shi, Y.: Triggering and control codesign in self-triggered model predictive control of constrained systems: with guaranteed performance. IEEE Trans. Autom. Control Autom. Control 63(11), 4008–4015 (2018)
3. Kouvaritakis, B., Cannon, M.: Model Predictive Control: Classical, Robust and Stochastic, 1st edn. Springer, Switzerland (2016)
4. Li, H., Shi, Y.: Robust receding horizon control for networked and distributed nonlinear systems. 1st edn. Springer (2017)
5. Mesbah, A.: Stochastic model predictive control: an overview and perspectives for future research. IEEE Control. Syst. 36(6), 30–44 (2016)
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