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1. An innovative deep reinforcement learning-driven cutting parameters adaptive optimization method taking tool wear into account NSTL国家科技图书文献中心

Gao, Zhilie |  Chen, Ni... -  《Measurement》 - 2025,242PC - 116075~ - 共22页

摘要: optimization of cutting parameters. However, the increasing |  deep reinforcement learning-driven cutting parameters |  adaptive optimization method taking tool wear into |  parameters. Firstly, an innovative deep transfer learning |  wealth of experience in selecting cutting parameters
关键词: The cutting parameters adaptive optimization |  Tool wear monitoring |  Markov decision process |  Deep reinforcement learning |  Proximal policy optimization algorithm

2. Accurate key parameters estimation of PEM fuel cells using self-adaptive bonobo optimizer NSTL国家科技图书文献中心

Ahmed Zouhir Kouache |  Ahmed Djafour... -  《Computers & Chemical Engineering》 - 2025,192(Jan.) - 108894.1~108894.12 - 共12页

摘要:-Adaptive Bonobo Optimizer (SaBO) for identifying the |  unknown parameters of the proton exchange membrane fuel | The present study introduces an efficient Self |  cell (PEMFC). A comparative analysis between recent |  robust approaches, such as Gradient-based Optimizer
关键词: PEM fuel cell |  PEMFC modeling |  Optimal parameters identification |  Self-adaptive bonobo optimizer |  Heliocentris FC-50 |  Nexa® 1200

3. Study on adaptive VSG parameters and SOC control strategy for PV-HESS primary frequency regulation NSTL国家科技图书文献中心

Ding-Quan Yang |  Ming-Jia Li... -  《Energy》 - 2025,314(Jan.1) - 133909.1~133909.14 - 共14页

摘要: capability. To that end, this paper presents an adaptive |  proposed based on adaptive rotational inertia and damping |  strategies, the improved adaptive VSG parameter and energy | Hybrid energy storage plays a critical role in |  primary frequency regulation during large-scale
关键词: Photovoltaic-hybrid energy storage system |  Virtual synchronous generator |  Parameters adaptive control |  State of charge |  Primary frequency regulation

4. Non-identifier based adaptive control of a chain of integrators and perturbations with unknown delays and parameters NSTL国家科技图书文献中心

Yu, Xin |  Lin, Wei -  《Automatica》 - 2025,171 - 共9页

摘要:. Inspired by the non-identifier based adaptive control |  with unknown parameters via dynamic state |  development, global adaptive regulation of a class of |  parameters is also solved by the proposed universal control | This paper solves the problem of how to
关键词: Unknown delays in state and input |  Non-identifier based adaptive control |  A chain of time-delay integrators |  Perturbed systems with unknown |  parameters |  Memoryless state feedback |  Lyapunov-Krasovskii functional method

5. A Novel Distributed Adaptive Controller for Parameters Estimation in Heterogeneous Vehicle Platooning With V2V Communication NSTL国家科技图书文献中心

Xinwei Yang |  Chaozhong Wu... -  《IEEE transactions on intelligent transportation systems》 - 2025,26(2) - 1657~1670 - 共14页

摘要: vehicle parameters, novel adaptive controllers are |  nominal parameters. In addition, the novel adaptive | The application of cooperative adaptive cruise |  powertrain dynamics and uncertain parameters. To extend |  provides insights into tuning the adaptive controller
关键词: Vehicle dynamics |  Nonlinear dynamical systems |  Asymptotic stability |  Parameter estimation |  Aerodynamics |  Adaptive control |  Adaptation models |  Vehicular ad hoc networks |  Uncertainty |  Numerical stability

6. An Adaptive Varying-Parameter Projection Neural Network for Redundant Manipulator with Unknown Physical Parameters NSTL国家科技图书文献中心

Pan Huang |  Che Hou... -  《Intelligent Robotics and Applications,Part V》 -  International Conference on Intelligent Robotics and Applications - 2025, - 389~401 - 共13页

摘要: parameters. In practical work environments, the physical |  parameters of the manipulator can be uncertain. Therefore | , an adaptive control method that can synchronize | . We propose an adaptive varying parameter projection |  unknown parameters and nonlinear parts that require
关键词: Quadratic program |  Redundant manipulators |  Recurrent neural networks |  Unknown physical parameters

7. Robust Adaptive Control of Uncertain Fully Actuated Systems With Unknown Parameters and Perturbed Input Matrices NSTL国家科技图书文献中心

Shiyu Zhang |  Guangren Duan -  《IEEE transactions on cybernetics》 - 2025,55(2) - 927~938 - 共12页

摘要:Robust adaptive control of fully actuated |  systems (FASs) with unknown parameters, perturbed input |  novel robust adaptive controllers are developed for |  the two cases where the unknown parameters are time |  existing results on FASs with unknown parameters, this
关键词: Uncertainty |  Vectors |  Symmetric matrices |  Adaptive control |  Control theory |  Time-varying systems |  Perturbation methods |  Closed loop systems |  Nonlinear systems |  Mathematical models

8. A Jaya algorithm based on self-adaptive method for parameters identification of photovoltaic cell and module NSTL国家科技图书文献中心

Feng, Zhiyu |  Zhu, Donglin... -  《Cluster computing》 - 2025,28(2) - 共26页

摘要:Accurate parameters identification of |  significant importance. To precisely identify parameters of |  algorithm based on self-adaptive method, termed Sjaya | , all utilizing adaptive factors, automatically |  adaptive and normal distribution probability factors to
关键词: Parameters identification |  Photovoltaic cell and module |  JAYA algorithm |  Optimization

9. Noninvasive Adaptive Control of a Class of Nonlinear Systems with Unknown Parameters NSTL国家科技图书文献中心

Rezaee, Hamed |  Renson, Ludovic -  《SIAM journal on applied dynamical systems》 - 2025,24(1) - 587~610 - 共24页

摘要: adaptive control strategy for a wide class of nonlinear |  systems with unknown parameters is proposed. We prove |  that the proposed adaptive control methodology is |  priori knowledge of some system parameters, does not | Control-based continuation (CBC) is a general
关键词: adaptive control |  bistability |  noninvasive control |  nonlinear control |  nonlinear dynamics |  unstable periodic orbits

10. Optimized Efficient Predefined Time Adaptive Neural Network for Identifying Parameters in Quantum Bit Error Rate NSTL国家科技图书文献中心

D. Ilakkiaselvan |  R. J. Kavitha -  《International journal of communication systems》 - 2025,38(5) - e70009.1~e70009.13 - 共13页

摘要: Adaptive Neural Network for Identifying Parameters in |  for effectively identifying the parameters such as |  optimization approaches to determine optimal parameters to |  identify the parameters in QBER. Hence, the Snow | An Optimized Efficient Predefined Time
关键词: Efficient Predefined Time Adaptive Neural Network |  High-Level Target Navigation Pigeon-Inspired Optimization |  quantum bit error rate reduction |  quantum key distribution
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