Literature DB >> 1592402

Nonlinear joint angle control for artificially stimulated muscle.

P H Veltink1, H J Chizeck, P E Crago, A el-Bialy.   

Abstract

Designs of both open- and closed-loop controllers of electrically stimulated muscle that explicitly depend on a nonlinear mathematical model of muscle input-output properties are presented and evaluated. The muscle model consists of three factors: a muscle activation dynamics factor, an angle-torque relationship factor, and an angular velocity torque relationship factor. These factors are multiplied to relate output torque to input stimulation and joint angle. An experimental method for the determination of the parameters of this model was designed, implemented, and evaluated. An open-loop nonlinear compensator, based upon this model, was tested in an animal model. Its performance in the control of joint angle in the presence of a known load was compared with a PID controller, and with a combination of the PID controller and the nonlinear compensator. The performance of the nonlinear compensator appeared to be strongly dependent on modeling errors. Its performance was roughly equivalent to that of the PID controller alone: somewhat better when the model was accurate, and somewhat worse when it was inaccurate. Combining the nonlinear open loop compensator with the PID feedback controller improved performance when the model was accurate.

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Year:  1992        PMID: 1592402     DOI: 10.1109/10.126609

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

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Review 2.  Multiscale modeling of cardiac cellular energetics.

Authors:  James B Bassingthwaighte; Howard J Chizeck; Les E Atlas; Hong Qian
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3.  Model-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis.

Authors:  Nicholas A Kirsch; Xuefeng Bao; Naji A Alibeji; Brad E Dicianno; Nitin Sharma
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-09-22       Impact factor: 3.802

4.  Motion control of the rabbit ankle joint with a flat interface nerve electrode.

Authors:  Hyun-Joo Park; Dominique M Durand
Journal:  Muscle Nerve       Date:  2015-09-07       Impact factor: 3.217

5.  Determining appropriate models for joint control using surface electrical stimulation of soleus in spinal cord injury.

Authors:  B Flaherty; C Robinson; G Agarwal
Journal:  Med Biol Eng Comput       Date:  1994-05       Impact factor: 2.602

6.  Identification of nonlinear model of ankle joint dynamics during electrical stimulation of soleus.

Authors:  B Flaherty; C Robinson; G Agarwal
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

7.  Model-based development of neuroprosthesis for paraplegic patients.

Authors:  R Riener
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

8.  Synthesis of optimal electrical stimulation patterns for functional motion restoration: applied to spinal cord-injured patients.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

9.  Experimental parameter identification of a multi-scale musculoskeletal model controlled by electrical stimulation: application to patients with spinal cord injury.

Authors:  Mourad Benoussaad; Philippe Poignet; Mitsuhiro Hayashibe; Christine Azevedo-Coste; Charles Fattal; David Guiraud
Journal:  Med Biol Eng Comput       Date:  2013-02-05       Impact factor: 2.602

10.  Combined feedforward and feedback control of a redundant, nonlinear, dynamic musculoskeletal system.

Authors:  Dimitra Blana; Robert F Kirsch; Edward K Chadwick
Journal:  Med Biol Eng Comput       Date:  2009-04-03       Impact factor: 2.602

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