Results 81 to 90 of about 12,784 (203)
Engineering Reports, Volume 8, Issue 2, February 2026.Two‐degree‐of‐freedom manipulator driven by PAM. ABSTRACT Rehabilitation robots are machines that allow patients to perform practice movements and ought to be sufficiently compliant for safe human interaction. Most robots today use hydraulic systems and continually rotating servo motors, making them less suitable for rehabilitation.
Solomon Ferede Ezez +2 more
wiley +1 more source
Energies, 2020 Marine current energy is attracting more and more attention in the world as a reliable and highly predictable energy resource. However, conventional proportional integral (PI) control will be sensitive to the numerous challenges that exist in a marine ...
Xusheng Shen, Tao Xie, Tianzhen Wang
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Position Control of Electro‐Hydraulic Actuator System With Disturbances Compensation
Energy Science &Engineering, Volume 14, Issue 2, Page 831-842, February 2026.A novel output feedback controller based on global fast terminal sliding mode with disturbances rejection to achieve accurate position tracking control for electro‐hydraulic cylinder system, which shows the great control potential of the designed output feedback controller during the start‐up and operation of the electro‐hydraulic actuator system ...
Yunfei Wang, Haigang Ding, Jiaxiang Man
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A novel 3-D jerk chaotic system with three quadratic nonlinearities and its adaptive control
Archives of Control Sciences, 2016 This paper announces an eight-term novel 3-D jerk chaotic system with three quadratic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described.
Vaidyanathan Sundarapandian
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Energy Science &Engineering, Volume 14, Issue 2, Page 999-1021, February 2026.This study presents a new control strategy for doubly fed induction generator (DFIG) wind turbine systems to overcome the limitations of traditional direct field control using proportional‐integral (DFOC‐PI) regulators, which are sensitive to coefficient changes and lead to low power quality.
Hamza Gasmi +5 more
wiley +1 more source
Research on Three‐Dimensional Autonomous Obstacle Avoidance Path Planning Methods for UAVs
Transactions on Emerging Telecommunications Technologies, Volume 37, Issue 2, February 2026.This study presents a three‐dimensional autonomous obstacle‐avoidance path planning method for unmanned aerial vehicles (UAVs) based on a deep reinforcement learning (DRL)‐enhanced Mayfly Algorithm. The traditional Mayfly Algorithm suffers from issues such as random initial population generation and slow convergence.
Chong Wu, Hao Cheng, Hua Wang
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RBF NN-Based Backstepping Adaptive Control for a Class of Nonlinear Systems
MATEC Web of Conferences, 2018 There are many control methods for nonlinear systems, but some of them can not control nonlinear mismatched systems very well. Backstepping control has obvious advantages in controlling nonlinear mismatched systems.
Zhao Haibo, Wang Chengguang
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Adaptive neural network backstepping control of fractional-order Chua–Hartley chaotic system
Advances in Difference Equations, 2019 In this paper, the control of uncertain fractional-order Chua–Hartley (FOCH) chaotic systems by means of adaptive neural network backstepping control is considered.
Guanjun Li, Chunxiang Sun
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Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 190-204, February 2026.ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley +1 more source
Complexity, 2020 This paper investigates the distributed adaptive neural consensus tracking control for multiple Euler-Lagrange systems with parameter uncertainties and unknown control directions.
Fanfeng Meng, Lin Zhao, Jinpeng Yu
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