Optimal Control Applications and Methods

Aims & Scope

Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods.

The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications.

Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems.

The scope also includes papers on optimal estimation and filtering methods which have control related applications.

Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.474

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	55

Journal Rank

Year	Value
2024	12116

Journal Citation Indicator

Year	Value
2024	856

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• ACADO toolkit—An open‐source framework for automatic control and dynamic optimization

  Citation: 797

  Authors: Boris, Hans Joachim, Moritz

• Optimization‐based autonomous racing of 1:43 scale RC cars

  Citation: 402

  Authors: Alexander, Alexander, Manfred

• An <i>hp</i>‐adaptive pseudospectral method for solving optimal control problems

  Citation: 383

  Authors: Christopher L., William W., Anil V.

• Optimal control of an HIV immunology model

  Citation: 297

  Authors: Hem Raj

• New smoothing techniques for solving bang–bang optimal control problems—numerical results and statistical interpretation

  Citation: 238

  Authors: R., R.

• Simulation of pedestrian flows by optimal control and differential games

  Citation: 237

  Authors: Serge, Piet

• Optimal control of deterministic epidemics

  Citation: 213

  Authors: Horst

• Optimal control problems with delays in state and control variables subject to mixed control–state constraints

  Citation: 205

  Authors: L., D., H.

• New results on dynamic output feedback control for Markovian jump systems with time‐varying delay and defective mode information

  Citation: 177

  Authors: Yanling, Jianbin, Hamid Reza, Mao

• Deterministic and stochastic optimization of a dynamic advertising model

  Citation: 162

  Authors: Suresh P.

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