Data-Driven Iterative Learning Control of Nonlinear Systems by Adaptive Model Matching. [PDF]
IEEE ASME Trans Mechatron, 2022 Lee YH, Rai S, Tsao TC.
europepmc +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
Advanced Materials, EarlyView.This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds. [PDF]
PLoS One, 2023 Riaz S, Qi R, Tutsoy O, Iqbal J.
europepmc +1 more source
A Simple Descriptor for Solid‐State Ionic Conductors Across Chemistries
Advanced Materials, EarlyView.Researchers develop a simple and transferable descriptor, distance contraction, for solid‐state ion migration across Li‐, Na‐, K‐, and Mg‐ion conductors and diverse anion chemistries. By capturing the maximum local contraction experienced by the migrating ion, the descriptor enables rapid materials screening and unifies diverse ion‐transport mechanisms.
Ramanuja Srinivasan Saravanan +4 more
wiley +1 more source
Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics. [PDF]
Front Robot AI, 2022 Meindl M, Lehmann D, Seel T.
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Biomass DNA: An Emerging Building Block for Advanced Materials
Advanced Materials, EarlyView.Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
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Constrained optimal control theory for differential linear repetitive processes
, 2008 Differential repetitive processes are a distinct class of continuous-discrete two-dimensional linear systems of both systems theoretic and applications interest.
Eric Rogers +7 more
core +1 more source
Batch-to-Batch Adaptive Iterative Learning Control-Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process. [PDF]
ACS Omega, 2022 Gupta N, De R, Kodamana H, Bhartiya S.
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Monolithically 3D‐Printed Spectral‐Spatial Meta‐Authenticators
Advanced Materials, EarlyView.A single height map printed in a low‐index resin by two‐photon lithography encodes multiple visible wavelengths in one metasurface without any polarization optics. A fabrication‐aware optimization folds the printable height levels into the design, so the device is printed as optimized.
Cherry Park +3 more
wiley +1 more source
Iterative learning control for constrained nonlinear systems
, 1999 An iterative learning control method is presented based on the analysis of the constraint to achieve precise tracking control of a class of constrained nonlinear systems over a finite time interval. The learning is done in a feedback configuration formed
Soh, Yengchai +2 more
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