Results 41 to 50 of about 46,050 (232)

Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu, Chenchen Li, Yufeng Wang, Zhengyan Wang, Yulian Peng, Zhipeng Wei, Hongbo Wang   +6 more
wiley   +1 more source

Zero overshoot and fast transient response using a fuzzy logic controller [PDF]

, 2011
In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core  

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Adaptive Fuzzy PID Control System for Satellite Earth Station Antenna Group Factor Based on Edge Calculation

天地一体化信息网络, 2023
The antenna tracking control system of satellite ground receiving station generally adopts PID control.Due to the infl uence of various uncertain factors, it is diffi cult to obtain the optimal control parameters for this kind of system, resulting in the
Haibin SHAN, Yanjun SHI, Zijing LIU, Yuanhong LI, Wenhua ZHAO, Muquan HE, Chuzhou LI   +6 more
doaj   +2 more sources

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

An Optimal Fuzzy PID Controller Design Based on Conventional PID Control and Nonlinear Factors

Applied Sciences, 2019
This paper proposes an optimal fuzzy proportional–integral–derivative (PID) controller design based on conventional PID control and nonlinear factors.
Chun-Tang Chao, Nana Sutarna, Juing-Shian Chiou, Chi-Jo Wang   +3 more
doaj   +1 more source

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

Advanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya, Gianluca Rizzello, Paul Motzki   +2 more
wiley   +1 more source

Research on Ride Comfort Control of Air Suspension Based on Genetic Algorithm Optimized Fuzzy PID

Applied Sciences
The air suspension system’s superior variable stiffness, low vibration frequency, and resistance to road impacts significantly elevate both the comfort of vehicle occupants and the overall ride quality.
Shaobo Zhang, Mei Li, Jinsong Li, Jie Xu, Zelong Wang, Shuaihang Liu   +5 more
doaj   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

Advanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera, Gaurav Duggal, Rolf Müller   +2 more
wiley   +1 more source

Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy. [PDF]

Med Phys
Abstract Background Current magnetic resonance guided laser interstitial thermal therapy (MRgLITT) requires physician input to incrementally retract the laser probe during glioblastoma (GBM) treatment, to achieve maximum safe lesion coverage (LC). Objective Through this computational study, we propose an automated MRgLITT system based on temperature ...
Pawar S, Lad YS, Arepally N, Abu-Ayyad M, Ivkov R, Zacharia BE, Hadjipanayis C, Attaluri A.   +7 more
europepmc   +2 more sources