Robust tracking control design with a novel leakage-type adaptive mechanism for an uncertain lower limb exoskeleton robot DOI
Siyang Yang, Jiufang Pei, Youyu Liu

и другие.

Journal of Vibration and Control, Год журнала: 2022, Номер 29(11-12), С. 2681 - 2695

Опубликована: Апрель 7, 2022

In this paper, a novel adaptive robust control approach has been proposed for class of uncertain mechanical systems. First, aiming the unknown uncertainties which may be fast time-varying, mechanism in leakage-type will developed. Unlike prevalent methods, put forward mainly accounts estimating all lumped uncertainty terms, and does not require any information other than they are bounded; Second, through transforming gait following assignment to constraint control, an constraint-following controller constructed render constraints uniformly bounded ultimately bounded. To testify efficacy approach, lower limb exoskeleton robot is considered as illustrative example, simulations indicate that can indeed improve level passive rehabilitation training.

Язык: Английский

Interactive Control of Lower Limb Exoskeleton Robots: A Review DOI
Yue-Peng Zhang, Guang‐Zhong Cao, Linglong Li

и другие.

IEEE Sensors Journal, Год журнала: 2024, Номер 24(5), С. 5759 - 5784

Опубликована: Янв. 17, 2024

The interactive control of lower limb exoskeleton robots (LLERs) is important to achieve compliance and safety. Significant challenges in the LLERs include how accurately recognize human motion intention, environment, natural, stable, accurate accordance with intention environment. This article presents a detailed classification recognition, based on LLER's environment summarizes methodologies each category. In addition, advantages disadvantages are analyzed from macroscopic perspective, current trends discussed. Finally, this explores which requirements should be met future LLER applications improve naturalness, stability, accuracy control.

Язык: Английский

Процитировано

15

Hierarchical Classification of Subject-Cooperative Control Strategies for Lower Limb Exoskeletons in Gait Rehabilitation: A Systematic Review DOI Creative Commons
Jyotindra Narayan, Chaiyawan Auepanwiriyakul, Sanchit Jhunjhunwala

и другие.

Machines, Год журнала: 2023, Номер 11(7), С. 764 - 764

Опубликована: Июль 22, 2023

Over the last decade, lower limb exoskeletons have seen significant development, with a particular focus on improving interaction between subject and exoskeleton. This has been achieved by implementing advanced control strategies that enable safe efficient use of In this work, for are divided into upper-level (supervisory high-level control) lower-level (the servo layer). Before discussing these strategies, brief introduction to their schemes is provided. The hierarchy then systematically reviewed along an overview techniques used. A Preferred Reporting Items Systematic Reviews Meta-Analysis (PRISMA) statement used highlight systematic process identifying relevant articles inclusion exclusion criteria. details supervisory control, presented citing state-of-the-art studies, particularly from past five years. targeted joint, training mode, development stage different highlighted in tabulated form articulate overall level. Finally, potential opportunities limitations subject-cooperative discussed. Overall, work aims provide in-depth understanding exoskeletons, focusing cooperation. knowledge can be improve safety efficacy ultimately benefiting individuals mobility impairments.

Язык: Английский

Процитировано

23

Fast terminal sliding mode control with rapid reaching law for a pediatric gait exoskeleton system DOI
Jyotindra Narayan, Hassène Gritli, Santosha K. Dwivedy

и другие.

International Journal of Intelligent Robotics and Applications, Год журнала: 2024, Номер 8(1), С. 76 - 95

Опубликована: Фев. 10, 2024

Язык: Английский

Процитировано

8

Event-triggered fixed-time tracking control for uncertain networked autonomous surface vehicle with disturbances DOI
G. Guo, Haoran Tan, Yun Feng

и другие.

Ocean Engineering, Год журнала: 2024, Номер 312, С. 119100 - 119100

Опубликована: Сен. 3, 2024

Язык: Английский

Процитировано

8

Observer-based event-triggered sliding mode tracking control for uncertain robotic manipulator systems DOI
G. Guo,

Xiaohui An,

Jie Sun

и другие.

Journal of the Brazilian Society of Mechanical Sciences and Engineering, Год журнала: 2023, Номер 45(9)

Опубликована: Авг. 15, 2023

Язык: Английский

Процитировано

14

Adaptive fractional order non-singular terminal sliding mode controller for underwater soft crawling robots with parameter uncertainties and unknown disturbances DOI
Qingzhong Li, Guoqing Yang,

Fujie Yu

и другие.

Ocean Engineering, Год журнала: 2023, Номер 271, С. 113728 - 113728

Опубликована: Янв. 24, 2023

Язык: Английский

Процитировано

12

Event-Based Distributed Set-Membership Estimation for Complex Networks Under Deception Attacks DOI
Changzhen Hu, Sanbo Ding, Xiangpeng Xie

и другие.

IEEE Transactions on Automation Science and Engineering, Год журнала: 2023, Номер 21(3), С. 3719 - 3729

Опубликована: Июнь 19, 2023

This paper addresses the problem of event-based distributed set-membership estimation for complex networks with unknown but bounded (UBB) disturbances. To reflect compromised data transmissions in cyber security, deception attacks are taken into consideration. Meanwhile, a novel model is proposed against UBB In order to schedule signal between nodes and remote estimators, decentralized dynamic periodic event-triggered mechanism (DPETM) time-varying threshold developed each node networks, which reduces waste communication resources complexity computation. Thereafter, series estimators designed, whose parameters explicitly determined terms resolution particular linear matrix inequality (LMI) related information topology. An optimized ellipsoid set obtained by applying recursive optimization algorithm. Finally, simulation results shown demonstrate viability method. Note Practitioners —This motivated state practical missions, such as military, environment, industry, etc. The provides reliable confidence region system node. Event-triggered control an effective method design estimator. But common require systems monitor measurements point-to-point, leads huge consumption calculation resources. For this reason, originally extends DPETM discrete-time version from field continuous-time systems. considers channels, generic framework established earlier can tackle simultaneously sector-bounded nonlinearity, disturbances, attacks. main difficulty lies analysis sawtooth constraint samplings. difficulty, we introduce piecewise auxiliary function, similar loop-function Together algorithm, detailed regions

Язык: Английский

Процитировано

10

Sensorless Estimation of Human Joint Torque for Robust Tracking Control of Lower-Limb Exoskeleton Assistive Gait Rehabilitation DOI Creative Commons

Auwalu M. Abdullahi,

Ronnapee Chaichaowarat

Journal of Sensor and Actuator Networks, Год журнала: 2023, Номер 12(4), С. 53 - 53

Опубликована: Июль 7, 2023

Patients suffering from motor disorders or weakness resulting either serious spinal cord injury stroke often require rehabilitation therapy to regain their mobility. In the lower limbs, exoskeletons have two motors aligned with patients’ hip and knee assist in exercises by supporting patient’s body structure increase torques at joints. Assistive is, however, challenging, as human torque is unknown varies patient patient. This poses difficulties determining level of assistance required for a particular this paper, therefore, modified extended state observer (ESO)-based integral sliding mode (ISM) controller (MESOISMC) lower-limb exoskeleton assistive gait proposed. The ESO used estimate without application sensor while ISMC achieve robust tracking preset joint angles considering estimated disturbance. performance proposed MESOISMC was assessed using mean absolute error (MAE). obtained results show an 85.02% 87.38% reduction MAE angles, respectively, when compared both controllers tuned via LMI optimization. also indicate that method effective efficient user comfort safety during training.

Язык: Английский

Процитировано

10

Exploration of deep learning-driven multimodal information fusion frameworks and their application in lower limb motion recognition DOI
Changhe Zhang, Zidong Yu, Xiaoyun Wang

и другие.

Biomedical Signal Processing and Control, Год журнала: 2024, Номер 96, С. 106551 - 106551

Опубликована: Июнь 13, 2024

Язык: Английский

Процитировано

4

Improved data-driven model-free adaptive control method for an upper extremity power-assist exoskeleton DOI
Shurun Wang, Hao Tang, Zhaowu Ping

и другие.

Applied Intelligence, Год журнала: 2025, Номер 55(6)

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0