Results 11 to 20 of about 25,575 (204)
A second‐order adaptive integral terminal sliding mode controller is proposed for the trajectory tracking control of robotic manipulators with uncertainties.
Shuang Hao +2 more
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Performance Improvement of an NMP Mini Segway Using Sample and Hold Inputs
Early analytical work showed that it is possible to discretize a continuous-time non-minimum phase (NMP) system using special sample and hold inputs (SHIs) and obtain a discrete-time minimum phase (MP) system with a higher sampling rate than that of ...
Yingxu Wang, Guoming Zhu
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The design of advanced robust control is crucial for serial robotic manipulators under various uncertainties and disturbances in case of the forceful performance needs of industrial robotic applications.
Banu Ataşlar-Ayyıldız
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Sliding Mode Active Disturbance Rejection Control for Magnetorheological Impact Buffer System
In the magnetorheological (MR) impact buffer system, the internal or external disturbance of the MR damper is one of the main factors that affect the buffer performance of the system.
Bin Wang, Wanjun Wang, Zhaochun Li
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Finite-Time Current Tracking in Boost Converters by Using a Saturated Super-Twisting Algorithm
The power converters are widely used in several industrial applications where it is necessary to obtain from a fixed voltage another one higher or lower than the original.
Juan-Eduardo Velázquez-Velázquez +4 more
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Adaptive economic wind turbine control [PDF]
Model predictive control (MPC) for wind turbines offers several interesting advantages over simpler techniques, as for example the direct optimization of a goal function, the inclusion of constraints, non-linear coupled dynamics, and wind preview ...
A. Anand, C. L. Bottasso
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In this paper, a novel adaptive continuous sliding mode (SM) control approach is proposed based on the robust stability analysis of buck converters with multi-disturbances.
Yanmin Wang, Weiqi Zhang, Chen Xue
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This paper presents a strategy for designing a robust discrete-time adaptive controller for stabilizing linear time-invariant (LTI) continuous-time dynamic systems. Such systems may be unstable and noninversely stable in the worst case.
S. Alonso-Quesada, M. De la Sen
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Sample-efficient model-based reinforcement learning for quantum control
We propose a model-based reinforcement learning (RL) approach for noisy time-dependent gate optimization with reduced sample complexity over model-free RL.
Irtaza Khalid +4 more
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[Objective]A key challenge for the harmless treatment center of sick and dead animal is to prevent secondary environmental pollution, especially during the process of transporting the animals from cold storage to intelligent treatment facilities.
XU Jishuang +7 more
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