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A Digital Iterative Learning Based Peak Current Mode Control for Interleaved Totem Pole PFC Circuit.
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- Energies (19961073), 2024, v. 17, n. 20, p. 5026, doi. 10.3390/en17205026
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Fractional-Order Iterative Learning Control with Initial State Learning for a Class of Multiagent Systems.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/9130875
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Performance Analysis of a Wind Turbine Pitch Neurocontroller with Unsupervised Learning.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/4681767
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Convergence Analysis of Iterative Learning Control for Two Classes of 2-D Linear Discrete Fornasini–Marchesini Model.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/6843730
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Advanced Control and Optimization for Complex Energy Systems.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/5908102
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Consensus Tracking of Fractional-Order Multiagent Systems via Fractional-Order Iterative Learning Control.
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- Complexity, 2019, p. 1, doi. 10.1155/2019/2192168
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Performance Index Based Observer-Type Iterative Learning Control for Consensus Tracking of Uncertain Nonlinear Fractional-Order Multiagent Systems.
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- Complexity, 2019, p. 1, doi. 10.1155/2019/9734094
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Model‐free inversion‐based iterative learning control algorithm with adaptive gain: Achieving superior robustness and convergence.
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- Optimal Control - Applications & Methods, 2024, v. 45, n. 5, p. 2312, doi. 10.1002/oca.3156
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Zero‐sum game optimal control for the nonlinear switched systems based on heuristic dynamic programming.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 5, p. 2821, doi. 10.1002/oca.3005
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The optimal design of repetitive controllers based on inverse frequency response.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 4, p. 2130, doi. 10.1002/oca.2968
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Data‐based learning control for optimization of nonlinear systems.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 3, p. 1055, doi. 10.1002/oca.2979
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From multi‐physics models to neural network for predictive control synthesis.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 3, p. 1394, doi. 10.1002/oca.2845
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Closed loop variable gain ILC for a class of nonlinear parabolic distributed parameter systems with moving boundaries.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 3, p. 1200, doi. 10.1002/oca.2779
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Quantized data‐based iterative learning control under denial‐of‐service attacks.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 3, p. 1185, doi. 10.1002/oca.2769
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Iterative learning control for linear parabolic distributed parameter systems with multiple point sensors.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 3, p. 1174, doi. 10.1002/oca.2768
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A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems.
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- Optimal Control - Applications & Methods, 2023, v. 44, n. 2, p. 830, doi. 10.1002/oca.2792
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A local dynamic extreme learning machine based iterative learning control of nonlinear batch process.
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- Optimal Control - Applications & Methods, 2022, v. 43, n. 1, p. 257, doi. 10.1002/oca.2788
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Optimal tracking control for non‐zero‐sum games of linear discrete‐time systems via off‐policy reinforcement learning.
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- Optimal Control - Applications & Methods, 2020, v. 41, n. 4, p. 1233, doi. 10.1002/oca.2597
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Robustness and load disturbance conditions for state based iterative learning control.
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- Optimal Control - Applications & Methods, 2018, v. 39, n. 6, p. 1965, doi. 10.1002/oca.2460
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Deep Learning-Based Predictive Control of Injection Velocity in Injection Molding Machines.
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- Advances in Polymer Technology, 2022, p. 1, doi. 10.1155/2022/7662264
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Improving the Consistency of Injection Molding Products by Intelligent Temperature Compensation Control.
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- Advances in Polymer Technology, 2019, p. 1, doi. 10.1155/2019/1591204
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Learning temporal regularized and weighted surrounding-aware correlation filter for unmanned aerial vehicle object tracking.
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- Journal of Electronic Imaging, 2022, v. 31, n. 3, p. 33007, doi. 10.1117/1.JEI.31.3.033007
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Simultaneous sparse learning algorithm of structured approximation with transformation analysis embedded in Bayesian framework.
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- Journal of Electronic Imaging, 2021, v. 30, n. 5, p. 53006, doi. 10.1117/1.JEI.30.5.053006
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Iterative Learning Control with an Improved Internal Model for a Monitoring Automatic-Gauge-Control System.
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- Metallurgist, 2016, v. 59, n. 9/10, p. 987, doi. 10.1007/s11015-016-0205-y
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Photogrammetry-based bending monitoring and load identification of steel truss structures.
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- Advances in Structural Engineering, 2023, v. 26, n. 13, p. 2543, doi. 10.1177/13694332231194686
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Projection of Simulated Results in Content-Based image Retrieval Systems for Biomedical Images.
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- International Journal of Pharmaceutical Research (09752366), 2020, p. 3565, doi. 10.31838/ijpr/2020.SP2.424
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- Article
Switching Delay Effects on Input-to-State Stability of Switched Systems.
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- Discrete Dynamics in Nature & Society, 2023, p. 1, doi. 10.1155/2023/2789626
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Vibration Suppression Method for a Two-Link Flexible Manipulator Based on Adaptive Iterative Learning Algorithm.
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- Journal of Vibration Engineering & Technologies, 2024, v. 12, n. 1, p. 587, doi. 10.1007/s42417-023-00861-4
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Vibration Fault Analysis of Hydropower Units Based on Extreme Learning Machine Optimized by Improved Sparrow Search Algorithm.
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- Journal of Vibration Engineering & Technologies, 2023, v. 11, n. 4, p. 1609, doi. 10.1007/s42417-022-00660-3
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이기종 이동통신 네트워크에서 에너지 효율화를 위한 DNN 기반 동적 셀 선택과 송신 전력 할당 기법.
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- Journal of the Korea Institute of Information & Communication Engineering, 2022, v. 26, n. 10, p. 1517, doi. 10.6109/jkiice.2022.26.10.1517
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i-Ntervene: applying an evidence-based learning analytics intervention to support computer programming instruction.
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- Smart Learning Environments, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40561-023-00257-7
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Efficient Initialization Methods for Population-Based Metaheuristic Algorithms: A Comparative Study.
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- Archives of Computational Methods in Engineering, 2023, v. 30, n. 3, p. 1727, doi. 10.1007/s11831-022-09850-4
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IDeAL: Una metodologia per costruire artefatti e promuovere le competenze trasversali in classe.
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- Form@re, 2019, v. 19, n. 1, p. 117, doi. 10.13128/formare-24988
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SPONTANEOUS CATEGORIZATION AND SELF-LEARNING WITH DEEP AUTOENCODER MODELS.
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- Proceedings of National Aviation University, 2019, v. 80, n. 3, p. 51, doi. 10.18372/2306-1472.80.14274
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A novel hybrid GWO–PSO-based maximum power point tracking for photovoltaic systems operating under partial shading conditions.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-14733-6
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Stress–Strain Investigation of the Rock Mass Based on Overcoring with CSIRO HI Cell Test and Numerical Modeling: A Case Study from an Italian Underground Marble Quarry.
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- Geosciences (2076-3263), 2022, v. 12, n. 12, p. 441, doi. 10.3390/geosciences12120441
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Design and Emergence of a Pedagogical Online InfoSec Laboratory as an Ensemble Artefact.
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- Journal of Information Systems Education, 2016, v. 27, n. 1, p. 17
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Development of Aerodynamic and Propulsion Models Using the Iterative Equation Error Method.
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- Aerospace (MDPI Publishing), 2024, v. 11, n. 1, p. 8, doi. 10.3390/aerospace11010008
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Inverse Reinforcement Learning-Based Fire-Control Command Calculation of an Unmanned Autonomous Helicopter Using Swarm Intelligence Demonstration.
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- Aerospace (MDPI Publishing), 2023, v. 10, n. 3, p. 309, doi. 10.3390/aerospace10030309
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Lyapunov-Based Impact Time Control Guidance Law with Performance Prediction.
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- Aerospace (MDPI Publishing), 2023, v. 10, n. 3, p. 308, doi. 10.3390/aerospace10030308
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Finite-time model-free robust synchronous control of multi-lift overhead cranes based on iterative learning.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 13, p. 2570, doi. 10.1177/01423312241231282
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Event-based iterative learning predictive control under two-dimensional framework.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 13, p. 2534, doi. 10.1177/01423312241235711
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Predictive fault-tolerant control for nonlinear batch processes with small time delays via iterative learning control: A Lyapunov–Razumikhin approach.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 13, p. 2521, doi. 10.1177/01423312241234694
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Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 10, p. 1943, doi. 10.1177/01423312231225782
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A model predictive control trajectory tracking lateral controller for autonomous vehicles combined with deep deterministic policy gradient.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 8, p. 1507, doi. 10.1177/01423312231197854
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Artificial neural network–based modelling of pacemaker and its pace tracking using discrete wavelet transform–based finite dimension repetitive controller.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 7, p. 1410, doi. 10.1177/01423312231201675
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Automatic tuning of robust model predictive control in iterative tasks using efficient Bayesian optimization.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 7, p. 1362, doi. 10.1177/01423312231188871
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Each step time-limited iterative learning control for a cushion robot with motion velocity constraints.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 6, p. 1105, doi. 10.1177/01423312231190446
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Secure iterative interval estimation method for cyber-physical systems subject to stealthy deception attacks.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 6, p. 1084, doi. 10.1177/01423312231189107
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A learning-based approach to event-triggered guaranteed cost control for completely unknown nonlinear systems.
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- Transactions of the Institute of Measurement & Control, 2024, v. 46, n. 6, p. 1203, doi. 10.1177/01423312231185383
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