Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence
Massive parallel robots (MPRs) driven by discrete actuators are force regulated robots that undergo continuous motions despite being commanded through a finite number of states only. Designing a real-time control of such systems requires fast and efficient methods for solving their inverse static an...
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ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-59072014-03-24T16:30:44Z Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence Pasila, Felix <1974> ING-IND/13 Meccanica applicata alle macchine Massive parallel robots (MPRs) driven by discrete actuators are force regulated robots that undergo continuous motions despite being commanded through a finite number of states only. Designing a real-time control of such systems requires fast and efficient methods for solving their inverse static analysis (ISA), which is a challenging problem and the subject of this thesis. In particular, five Artificial intelligence methods are proposed to investigate the on-line computation and the generalization error of ISA problem of a class of MPRs featuring three-state force actuators and one degree of revolute motion. Alma Mater Studiorum - Università di Bologna Parenti Castelli, Vincenzo 2013-05-08 Doctoral Thesis PeerReviewed application/pdf en http://amsdottorato.unibo.it/5907/ info:eu-repo/semantics/openAccess |
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en |
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Doctoral Thesis |
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ING-IND/13 Meccanica applicata alle macchine |
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ING-IND/13 Meccanica applicata alle macchine Pasila, Felix <1974> Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence |
description |
Massive parallel robots (MPRs) driven by discrete actuators are force regulated robots that undergo continuous motions despite being commanded through a finite number of states only. Designing a real-time control of such systems requires fast and efficient methods for solving their inverse static analysis (ISA), which is a challenging problem and the subject of this thesis. In particular, five Artificial intelligence methods are proposed to investigate the on-line computation and the generalization error of ISA problem of a class of MPRs featuring three-state force actuators and one degree of revolute motion. |
author2 |
Parenti Castelli, Vincenzo |
author_facet |
Parenti Castelli, Vincenzo Pasila, Felix <1974> |
author |
Pasila, Felix <1974> |
author_sort |
Pasila, Felix <1974> |
title |
Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence |
title_short |
Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence |
title_full |
Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence |
title_fullStr |
Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence |
title_full_unstemmed |
Inverse Static Analysis of Massive Parallel Arrays of Three-State Actuators via Artificial Intelligence |
title_sort |
inverse static analysis of massive parallel arrays of three-state actuators via artificial intelligence |
publisher |
Alma Mater Studiorum - Università di Bologna |
publishDate |
2013 |
url |
http://amsdottorato.unibo.it/5907/ |
work_keys_str_mv |
AT pasilafelix1974 inversestaticanalysisofmassiveparallelarraysofthreestateactuatorsviaartificialintelligence |
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1716654681229361152 |