Results 111 to 120 of about 18,090,481 (292)
Journal of Applied Mathematics, 2014 A data-driven predictive terminal iterative learning control (DDPTILC) approach is proposed for discrete-time nonlinear systems with terminal tracking tasks, where only the terminal output tracking error instead of entire output trajectory tracking error
Shangtai Jin, Zhongsheng Hou, Ronghu Chi
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Advanced Functional Materials, EarlyView.Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
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Velocity Tracking Control of Wheeled Mobile Robots by Iterative Learning Control
International Journal of Advanced Robotic Systems, 2016 This paper presents an iterative learning control (ILC) strategy to resolve the trajectory tracking problem of wheeled mobile robots (WMRs) based on dynamic model.
Xiaochun Lu, Juntao Fei
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Advances in Difference Equations, 2019 For discrete-time iterative learning control systems, the discrete Fourier transform (DFT) is a powerful technique for frequency analysis, and Toeplitz matrices are a typical tool for the system input–output transmission.
Xiaohui Li, Xiaoe Ruan
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A survey of methods for handling initial state shifts in iterative learning control. [PDF]
Heliyon, 2023 Chen D, Lu T, Li G.
europepmc +1 more source
Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications
Advanced Functional Materials, EarlyView.Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So +5 more
wiley +1 more source
Iterative Learning Control analysis for automotive testbed applications [PDF]
openIterative Learning Control (ILC) represents an innovative paradigm in the control of dynamic systems, aimed at progressively improving system performance through iterative learning from repeatable reference tracks.
MUSTACCHI, MARCO
core
, 2013 Repetitive processes are a class of two-dimensional systems that have physical applications, including the design of iterative learning control laws where experimental validation results have been reported.
Galkowski, Krzysztof +2 more
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MathematicsComplex physical processes, which could evolve in both spatial and temporal dimensions and be represented by partial difference equations, could also operate in a repetitive mode with iterative learning methods as suitable control laws.
Tengfei Xiao
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Iterative Learning Tracking Control of a Hybrid-Driven Based Three-Cable Parallel Manipulator
Advances in Mechanical Engineering, 2014 The aim of this work was to present iterative learning tracking control of a hybrid-driven based three-cable parallel manipulator (HDCPM). The HDCPM has the advantages of both cable parallel manipulator and hybrid-driven planar five-bar mechanism. Design
Bin Zi, Jianbin Cao, Sen Qian
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