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...

Full description

Bibliographic Details
Main Author: Pasila, Felix <1974>
Other Authors: Parenti Castelli, Vincenzo
Format: Doctoral Thesis
Language:en
Published: Alma Mater Studiorum - Università di Bologna 2013
Subjects:
Online Access:http://amsdottorato.unibo.it/5907/
id ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-5907
record_format oai_dc
spelling 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
collection NDLTD
language en
format Doctoral Thesis
sources NDLTD
topic ING-IND/13 Meccanica applicata alle macchine
spellingShingle 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
_version_ 1716654681229361152