Algorithms of data generation for deep learning and feedback design: A survey
Sign Up to like & getrecommendations! Published in 2021 at "Physica D: Nonlinear Phenomena"
DOI: 10.1016/j.physd.2021.132955
Abstract: Abstract Recent research reveals that deep learning is an effective way of solving high dimensional Hamilton–Jacobi–Bellman equations. The resulting feedback control law in the form of a neural network is computationally efficient for real-time applications… read more here.
Keywords: feedback design; algorithms data; design; data generation ... See more keywords
Output-Feedback Design of Longitudinal Platooning With Adaptive Disturbance Decoupling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3181002
Abstract: In longitudinal platooning, ‘disturbance decoupling’ refers to the problem of making the inter-vehicle spacing independent of the disturbance input from the preceding vehicle, while ‘adaptive’ refers to handling vehicle parametric uncertainty such as engine time… read more here.
Keywords: disturbance; longitudinal platooning; disturbance decoupling; feedback design ... See more keywords
State-Feedback Design for Nonlinear Saturating Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3099457
Abstract: This article presents strategies for state-feedback control law design of nonlinear control laws with saturating inputs. The input constraints are handled by considering a generalized local sector inequality allowing the study of nonsymmetric saturation bounds.… read more here.
Keywords: design nonlinear; state feedback; feedback design;