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Engineering and Technology

D-Index
37
Citations
6528
World Ranking
8311
National Ranking
2299

Overview

Behcet Acikmese is affiliated with The University of Texas at Austin in the United States. Their research spans the fields of Engineering and Computer Science, with a focus on subfields such as Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Numerical Analysis.

Acikmese's work centers around several main topics including:

  • Spacecraft Dynamics and Control
  • Advanced Control Systems Optimization
  • Robotic Path Planning Algorithms
  • Advanced Optimization Algorithms Research
  • Space Satellite Systems and Control
  • Aerospace Engineering and Control Systems
  • Guidance and Control Systems

Frequent coauthors in their research include Purnanand Elango, Yue Yu, Mehran Mesbahi, Abhinav G. Kamath, and John M. Carson.

Acikmese regularly publishes in a variety of venues, such as:

  • arXiv (Cornell University)
  • IEEE Control Systems Letters
  • Journal of Guidance Control and Dynamics
  • Automatica
  • AIAA SCITECH 2022 Forum

Selected recent papers by Acikmese and collaborators include:

  • Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently, 2022, IEEE Control Systems
  • Dual Quaternion-Based Powered Descent Guidance with State-Triggered Constraints, 2020, Journal of Guidance Control and Dynamics
  • A Real-Time Algorithm for Non-Convex Powered Descent Guidance, 2020, AIAA Scitech 2020 Forum
  • On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma, 2021, 2021 60th IEEE Conference on Decision and Control (CDC)
  • Real-Time Sequential Conic Optimization for Multi-Phase Rocket Landing Guidance, 2023, IFAC-PapersOnLine

Best Publications

  • Convex programming approach to powered descent guidance for mars landing

    Behcet Acikmese;Scott R. Ploen;Scott R. Ploen

  • Minimum-Landing-Error Powered-Descent Guidance for Mars Landing Using Convex Optimization

    Lars Blackmore;Lars Blackmore;Behcet Acikmese;Daniel P. Scharf;Daniel P. Scharf

  • Model Predictive Control in Aerospace Systems: Current State and Opportunities

    Utku Eren;Anna Prach;Başaran Bahadır Koçer;Saša V. Raković

  • Lossless Convexification of Nonconvex Control Bound and Pointing Constraints of the Soft Landing Optimal Control Problem

    Behcet Acikmese;John M. Carson;Lars Blackmore

  • Brief paper: Lossless convexification of a class of optimal control problems with non-convex control constraints

    Behçet Açıkmeşe;Lars Blackmore

  • < Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently

    Unknown

  • Successive convexification of non-convex optimal control problems and its convergence properties

    Yuanqi Mao;Michael Szmuk;Behcet Acikmese

  • Observers for systems with nonlinearities satisfying incremental quadratic constraints

    Behçet Açıkmeşe;Martin Corless

  • Customized Real-Time Interior-Point Methods for Onboard Powered-Descent Guidance

    Daniel Dueri;Behçet Açıkmeşe;Daniel P. Scharf;Matthew W. Harris

  • Swarm-Keeping Strategies for Spacecraft Under J2 and Atmospheric Drag Perturbations

    Daniel Morgan;Soon-Jo Chung;Lars Blackmore;Lars Blackmore;Behcet Acikmese;Behcet Acikmese

  • Successive Convexification for Fuel-Optimal Powered Landing with Aerodynamic Drag and Non-Convex Constraints

    Michael Szmuk;Behcet Acikmese;Andrew W. Berning

  • Spacecraft Autonomy Challenges for Next-Generation Space Missions

    Joseph A. Starek;Behçet Açıkmeşe;Issa A. Nesnas;Marco Pavone

  • Lossless convexification of control constraints for a class of nonlinear optimal control problems

    Lars Blackmore;Behcet Acikmese;John M. Carson

  • Lossless convexification of non-convex optimal control problems for state constrained linear systems

    Matthew W. Harris;Behçet Açıkmeşe

  • Implementation and Experimental Demonstration of Onboard Powered-Descent Guidance

    Daniel P. Scharf;Behçet Açıkmeşe;Daniel Dueri;Joel Benito

  • Successive Convexification: A Superlinearly Convergent Algorithm for Non-convex Optimal Control Problems

    Yuanqi Mao;Michael Szmuk;Xiangru Xu;Behcet Acikmese

  • Successive Convexification for 6-DoF Mars Rocket Powered Landing with Free-Final-Time

    Michael Szmuk;Behcet Acikmese

  • Successive Convexification of Non-Convex Optimal Control Problems with State Constraints

    Yuanqi Mao;Daniel Dueri;Michael Szmuk;Behçet Açıkmeşe

  • Dual Quaternion Based Powered Descent Guidance with State-Triggered Constraints.

    Taylor P. Reynolds;Michael Szmuk;Danylo Malyuta;Mehran Mesbahi

  • A Markov Chain Approach to Probabilistic Swarm Guidance

    Behcet Acikmese;David S. Bayard

  • A Markov chain approach to probabilistic swarm guidance

    Behcet Acikmese;David S. Bayard

  • Markov Chain Approach to Probabilistic Guidance for Swarms of Autonomous Agents

    Behçet Açıkmeşe;David S. Bayard

  • Decentralized observers with consensus filters for distributed discrete-time linear systems

    Behçet Açıkmeşe;Milan Mandić;Jason L. Speyer

  • Advances in trajectory optimization for space vehicle control

    Danylo Malyuta;Yue Yu;Purnanand Elango;Behçet Açıkmeşe

Frequent Co-Authors

Mehran Mesbahi
Mehran Mesbahi University of Washington
Fred Y. Hadaegh
Fred Y. Hadaegh Jet Propulsion Lab
Martin Corless
Martin Corless Purdue University West Lafayette
Andrew E. Johnson
Andrew E. Johnson Jet Propulsion Lab
Soon-Jo Chung
Soon-Jo Chung California Institute of Technology
Tamer Basar
Tamer Basar University of Illinois at Urbana-Champaign
Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Richard M. Murray
Richard M. Murray California Institute of Technology
Marco Pavone
Marco Pavone Stanford University
John Lygeros
John Lygeros ETH Zurich

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