amenity
发表于 2025-3-23 13:39:56
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Hearten
发表于 2025-3-23 15:54:19
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ear-canal
发表于 2025-3-23 22:01:09
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冒失
发表于 2025-3-23 22:41:58
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concubine
发表于 2025-3-24 04:56:24
Adaptive Robust Control of Tele-operated Master-Slave Manipulators with Communication Delayon the sliding mode control method with an adaptively tuned gain to tackle the unknown uncertainty bounds of the system. A sliding surface, having a proportional integral derivative type structure, is proposed which is designed as a function of the tracking error between the master and the slave tra
vertebrate
发表于 2025-3-24 09:29:08
A Multi-Master Single-Slave Teleoperation System Through Composite State Convergencef multi-master-single-slave teleoperation system is considered to show the design procedure. In the proposed architecture, composite variables are transmitted across the communication channel instead of full systems’ states. In addition, control gains are defined to consider masters-slave interactio
OUTRE
发表于 2025-3-24 14:35:29
Event-Triggered Integral Sliding Mode Control for an Uncertain Euler–Lagrange System with Actuator Ssaturation. The event-triggered control strategy is used with an aim that the communication load will be reduced over the feedback link in networked control system by adapting a need-based information exchange policy. The integral sliding surface is designed with saturation function, whose finite ti
强制令
发表于 2025-3-24 17:09:44
AKIRA—A Voice Based Virtual Assistant with Authenticationnce is increasing at a greater speed. Google assistant, Alexa from Amazon, Siri from Apple, Cortana from Microsoft are the leading voice assistants. Various surveys have been conducted to review the popularity and correctness of these voice assistance and results displayed that these virtual assista
杀菌剂
发表于 2025-3-24 19:25:06
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Psychogenic
发表于 2025-3-25 01:49:47
Nonlinear State Estimation Using Adaptive Gaussian Filters with One-Step Randomly Delayed Measuremenyed measurements when process noise covariance remains unknown due to parametric uncertainty. The proposed filter is designed to give satisfactory estimation performance by carrying out auto tuning of unknown element of process noise covariance. Efficacy of the adaptive Gaussian filters for one-step