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JournalISSN: 1083-4435

IEEE-ASME Transactions on Mechatronics 

Institute of Electrical and Electronics Engineers
About: IEEE-ASME Transactions on Mechatronics is an academic journal published by Institute of Electrical and Electronics Engineers. The journal publishes majorly in the area(s): Control theory & Actuator. It has an ISSN identifier of 1083-4435. Over the lifetime, 4279 publications have been published receiving 179933 citations. The journal is also known as: Transactions on mechatronics & Mechatronics.


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Journal ArticleDOI
TL;DR: In this article, a technique to estimate disturbance is introduced to make motion controller to be an acceleration controller, which is a bridge to connect such robustness and variable stiffness in the controller.
Abstract: Motion control is now recognized as a key technology in mechatronics. The robustness of motion control will be represented as a function of stiffness and a basis for practical realization. Target of motion is parameterized by control stiffness which could be variable according to the task reference. However, the system robustness of motion always requires very high stiffness in the controller. The paper shows that control of acceleration realizes specified motion simultaneously with keeping the robustness very high. The acceleration is a bridge to connect such robustness and variable stiffness. For practical applications, a technique to estimate disturbance is introduced to make motion controller to be an acceleration controller. Motion control of flexible structure and identification of mechanical parameters are also described.

1,775 citations

Journal ArticleDOI
TL;DR: The Berkeley lower extremity exoskeleton (BLEEX) as mentioned in this paper has 7 DOF per leg, four of which are powered by linear hydraulic actuators, and the selection of the DOF, critical hardware design aspects and initial performance measurements of BLEEX are discussed.
Abstract: Wheeled vehicles are often incapable of transporting heavy materials over rough terrain or up staircases. Lower extremity exoskeletons supplement human intelligence with the strength and endurance of a pair of wearable robotic legs that support a payload. This paper summarizes the design and analysis of the Berkeley lower extremity exoskeleton (BLEEX). The anthropomorphically based BLEEX has 7 DOF per leg, four of which are powered by linear hydraulic actuators. The selection of the DOF, critical hardware design aspects, and initial performance measurements of BLEEX are discussed.

1,087 citations

Journal ArticleDOI
TL;DR: This work presents a general framework for nonlinear systems subject to disturbances using disturbance observer based control (DOBC) techniques and develops a nonlinear disturbance observer for disturbances generated by an exogenous system.
Abstract: This work presents a general framework for nonlinear systems subject to disturbances using disturbance observer based control (DOBC) techniques. A two-stage design procedure to improve disturbance attenuation ability of current linear/nonlinear controllers is proposed where the disturbance observer design is separated from the controller design. To facilitate this concept, a nonlinear disturbance observer is developed for disturbances generated by an exogenous system, and global exponential stability is established under certain condition. Furthermore, semiglobal stability condition of the composite controller consisting of a nonlinear controller and the nonlinear disturbance observer is established. The developed method is illustrated by the application to control of a two-link robotic manipulator.

1,077 citations

Journal ArticleDOI
TL;DR: In this article, a cable-actuated dexterous exoskeleton for neurorehabilitation (CADEN)-7 offers remarkable opportunities as a versatile human-machine interface and as a new generation of assistive technology.
Abstract: An exoskeleton is an external structural mechanism with joints and links corresponding to those of the human body. With applications in rehabilitation medicine and virtual reality simulation, exoskeletons offer benefits for both disabled and healthy populations. A pilot database defining the kinematics and dynamics of the upper limb during daily living activities was one among several factors guiding the development of an anthropomorphic, 7-DOF, powered arm exoskeleton. Additional design inputs include anatomical and physiological considerations, workspace analyses, and upper limb joint ranges of motion. The database was compiled from 19 arm activities of daily living. The cable-actuated dexterous exoskeleton for neurorehabilitation (CADEN)-7 offers remarkable opportunities as a versatile human-machine interface and as a new generation of assistive technology. Proximal placement of motors and distal placement of cable-pulley reductions were incorporated into the design, leading to low inertia, high-stiffness links, and backdrivable transmissions with zero backlash. The design enables full glenohumeral, elbow, and wrist joint functionality. Potential applications of the exoskeleton as a wearable robot include: 1) a therapeutic and diagnostics device for physiotherapy, 2) an assistive (orthotic) device for human power amplifications, 3) a haptic device in virtual reality simulation, and 4) a master device for teleoperation.

865 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the finite-time consensus tracking control for multi-robot systems with input disturbances on the terminal sliding-mode surface and showed that the proposed error function can be modified to achieve relative state deviation between agents.
Abstract: This paper studies the finite-time consensus tracking control for multirobot systems. We prove that finite-time consensus tracking of multiagent systems can be achieved on the terminal sliding-mode surface. Also, we show that the proposed error function can be modified to achieve relative state deviation between agents. These results are then applied to the finite-time consensus tracking control of multirobot systems with input disturbances. Simulation results are presented to validate the analysis.

763 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023510
2022628
2021361
2020283
2019272
2018286