ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.03123
  4. Cited By
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors

Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors

26 March 2025
Tohid Kargar Tasooji
Sakineh Khodadadi
Guangjun Liu
ArXiv (abs)PDFHTML

Papers citing "Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors"

9 / 9 papers shown
Title
Causal Discovery by Interventions via Integer Programming
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey
Rong Pan
170
1
0
02 Dec 2024
Interventional Experiment Design for Causal Structure Learning
Interventional Experiment Design for Causal Structure Learning
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
CML
157
11
0
12 Oct 2019
Experimental Design for Cost-Aware Learning of Causal Graphs
Experimental Design for Cost-Aware Learning of Causal Graphs
Erik M. Lindgren
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
119
38
0
28 Oct 2018
Cost-Optimal Learning of Causal Graphs
Cost-Optimal Learning of Causal Graphs
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
200
75
0
08 Mar 2017
Learning Causal Graphs with Small Interventions
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam
Murat Kocaoglu
A. Dimakis
S. Vishwanath
CML
237
115
0
30 Oct 2015
Causal Inference and Causal Explanation with Background Knowledge
Causal Inference and Causal Explanation with Background KnowledgeConference on Uncertainty in Artificial Intelligence (UAI), 1995
Christopher Meek
CML
404
669
0
20 Feb 2013
On the Number of Experiments Sufficient and in the Worst Case Necessary
  to Identify All Causal Relations Among N Variables
On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N VariablesConference on Uncertainty in Artificial Intelligence (UAI), 2005
F. Eberhardt
Clark Glymour
R. Scheines
229
161
0
04 Jul 2012
Almost Optimal Intervention Sets for Causal Discovery
Almost Optimal Intervention Sets for Causal DiscoveryConference on Uncertainty in Artificial Intelligence (UAI), 2008
F. Eberhardt
CML
205
62
0
13 Jun 2012
Characterization and Greedy Learning of Interventional Markov
  Equivalence Classes of Directed Acyclic Graphs
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser
Peter Buhlmann
CML
290
456
0
14 Apr 2011
1