Name
Title | ||
|---|---|---|
Artificial neural networks for feedback control of a human elbow hydraulic prosthesis. |
Abstract | ||
|---|---|---|
The paper addresses feedback control of actuated prostheses based on the Stewart platform parallel mechanism. In such a problem it is essential to apply a feasible numerical method to determine in real time the solution of the forward kinematics, which is highly nonlinear and characterized by analytical indetermination. In this paper, the forward kinematics problem for a human elbow hydraulic prosthesis developed by the research group of Polytechnic of Bari is solved using artificial neural networks as an effective and simple method to obtain in real time the solution of the problem while limiting the computational effort. We show the effectiveness of the technique by designing a PID controller that governs the arm motion thanks to the provided neural computation of the forward kinematics. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.neucom.2013.05.066 | Neurocomputing |
Keywords | Field | DocType |
Human prosthesis,Forward kinematics,Artificial neural networks,Simulation,Control,Parallel mechanism | Nonlinear system,Control theory,Models of neural computation,Artificial intelligence,Artificial neural network,Elbow,PID controller,Simulation,Forward kinematics,Stewart platform,Numerical analysis,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
137 | 0925-2312 | 5 |
PageRank | References | Authors |
0.50 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitoantonio Bevilacqua | 1 | 468 | 66.40 |
| Mariagrazia Dotoli | 2 | 424 | 57.21 |
| Mario Massimo Foglia | 3 | 15 | 2.59 |
| Francesco Acciani | 4 | 5 | 0.84 |
| Giacomo Tattoli | 5 | 8 | 2.33 |
| Marcello Valori | 6 | 5 | 0.84 |