Model-Free Predictive Control of Nonlinear Processes Based on Reinforcement Learning
Hitesh Shah, M. Gopal
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An Effort towards Offset-free Model Predictive Control of Artificial Pancreas Systems*
Wenjing Wu +4 more
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Model Predictive Control of Battery-Powered Trains for Catenary-Free Operation
Alessio La Bella +3 more
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Energy-efficient path planning for Robotic Bulkhead Inspection using Residual-Enhanced UKF and Hierarchical MPC. [PDF]
Wang J, Li L, Gao R, Yang L.
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Artificial intelligence-based prognostic modeling of immunoradiotherapy in Barcelona clinic liver cancer stage C hepatocellular carcinoma: a multicenter retrospective study. [PDF]
Li YJ +7 more
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Time-Dependent Predictive Accuracy Metrics in the Context of Interval Censoring and Competing Risks. [PDF]
Yang Z +3 more
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Clinical and molecular data to predict flares in DMARD optimization in rheumatoid arthritis: a randomized, controlled, open-label, non-inferiority trial. [PDF]
Blanco FJ +24 more
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A model-free predictive control method by ℓ1-minimization
金沢大学融合研究域融合科学系 We propose a new predictive control method utilizing a sparse solution of a minimization problem defined by both online and stored input/output data of the controlled system. The conventional predictive control methods generally require a mathematical model of the controlled system to predict an optimal future input to control the system.
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