Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller.
<p>Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller.</p>
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1852026022457769984 |
|---|---|
| author | Nardos Belay Abera (19832190) |
| author2 | Chala Merga Abdissa (19832193) Lebsework Negash Lemma (19832196) |
| author2_role | author author |
| author_facet | Nardos Belay Abera (19832190) Chala Merga Abdissa (19832193) Lebsework Negash Lemma (19832196) |
| author_role | author |
| dc.creator.none.fl_str_mv | Nardos Belay Abera (19832190) Chala Merga Abdissa (19832193) Lebsework Negash Lemma (19832196) |
| dc.date.none.fl_str_mv | 2024-10-10T17:31:19Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0309098.g017 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Control_effort_i_U_i_sub_4_sub_for_yaw_control_highlighting_minimal_effort_by_the_proposed_controller_/27206541 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Neuroscience Ecology Immunology Inorganic Chemistry Biological Sciences not elsewhere classified super twisting algorithm simulation results demonstrate particle swarm optimization maintaining minimal steady maintain stable control disturbance rejection capabilities adaptive rule grounded 02 &# 176 01 &# 176 001 &# 176 results highlight tracking quadcopter </ p xlink "> upper limit time implementation significantly better quaternion formalism proposed controller paper presents mitigates chattering lyapunov stability dynamic model conventional controllers controller gains |
| dc.title.none.fl_str_mv | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_db67f772fdecc847dbb7b20f92a76a0a |
| identifier_str_mv | 10.1371/journal.pone.0309098.g017 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27206541 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller.Nardos Belay Abera (19832190)Chala Merga Abdissa (19832193)Lebsework Negash Lemma (19832196)NeuroscienceEcologyImmunologyInorganic ChemistryBiological Sciences not elsewhere classifiedsuper twisting algorithmsimulation results demonstrateparticle swarm optimizationmaintaining minimal steadymaintain stable controldisturbance rejection capabilitiesadaptive rule grounded02 &# 17601 &# 176001 &# 176results highlight trackingquadcopter </ pxlink ">upper limittime implementationsignificantly betterquaternion formalismproposed controllerpaper presentsmitigates chatteringlyapunov stabilitydynamic modelconventional controllerscontroller gains<p>Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller.</p>2024-10-10T17:31:19ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0309098.g017https://figshare.com/articles/figure/Control_effort_i_U_i_sub_4_sub_for_yaw_control_highlighting_minimal_effort_by_the_proposed_controller_/27206541CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/272065412024-10-10T17:31:19Z |
| spellingShingle | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. Nardos Belay Abera (19832190) Neuroscience Ecology Immunology Inorganic Chemistry Biological Sciences not elsewhere classified super twisting algorithm simulation results demonstrate particle swarm optimization maintaining minimal steady maintain stable control disturbance rejection capabilities adaptive rule grounded 02 &# 176 01 &# 176 001 &# 176 results highlight tracking quadcopter </ p xlink "> upper limit time implementation significantly better quaternion formalism proposed controller paper presents mitigates chattering lyapunov stability dynamic model conventional controllers controller gains |
| status_str | publishedVersion |
| title | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| title_full | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| title_fullStr | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| title_full_unstemmed | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| title_short | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| title_sort | Control effort <i>U</i><sub>4</sub> for yaw control, highlighting minimal effort by the proposed controller. |
| topic | Neuroscience Ecology Immunology Inorganic Chemistry Biological Sciences not elsewhere classified super twisting algorithm simulation results demonstrate particle swarm optimization maintaining minimal steady maintain stable control disturbance rejection capabilities adaptive rule grounded 02 &# 176 01 &# 176 001 &# 176 results highlight tracking quadcopter </ p xlink "> upper limit time implementation significantly better quaternion formalism proposed controller paper presents mitigates chattering lyapunov stability dynamic model conventional controllers controller gains |