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Control invariant set enhanced safe reinforcement learning: Improved sampling efficiency, guaranteed stability and robustness.

, , , and . Comput. Chem. Eng., (November 2023)

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Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness., , , and . CoRR, (2023)Fuel Efficiency Modeling and Prediction for Automotive Vehicles: A Data-Driven Approach., , , , and . SMC, page 2527-2532. IEEE, (2015)Cloud-aided moving horizon state estimation of a full-car semi-active suspension system., , , and . SMC, page 527-532. IEEE, (2016)Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond., , , , and . IEEE Trans. Ind. Electron., 71 (10): 13439-13449 (October 2024)A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation., , , and . CoRR, (2022)Subsystem decomposition for distributed state estimation of nonlinear systems., , and . ACC, page 5569-5574. IEEE, (2016)From decentralized to distributed state estimation., , and . ACC, page 1904-1909. IEEE, (2017)Soil moisture map construction by sequential data assimilation using an extended Kalman filter., , , , , and . ACC, page 4351-4356. IEEE, (2021)Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise., , , and . CoRR, (2024)H∞ model approximation for discrete-time Takagi-Sugeno fuzzy systems with Markovian jumping parameters., , , , , and . Neurocomputing, (2015)