Abstract In this paper the software environment and algorithm collection ACADO Toolkit is presented, which implements tools for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control as well as state and parameter estimation. The ACADO Toolkit is implemented…
Optimal Control Applications and Methods Template
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About the Optimal Control Applications and Methods format
Optimal Control Applications and Methods is a peer-reviewed journal published by Wiley, covering Advanced Control Systems Optimization, Stability and Control of Uncertain Systems, Control Systems and Identification.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Optimal Control Applications and Methods 12 (3): 45–58.
Formats any DOI in Optimal Control Applications and Methods style. No sign-up. |
| Publishes research in | Advanced Control Systems Optimization Stability and Control of Uncertain Systems Control Systems and Identification Adaptive Control of Nonlinear Systems Fault Detection and Control Systems |
| ISSN | 0143-2087 |
| Citation impact (2-yr) | 3.16 |
| h-index | 65 |
| i10-index | 814 |
| Total citations | 30,397 |
| Article processing charge | $4,020 |
| Top institutions publishing here | Northeastern University |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Optimal Control Applications and Methods per year
Citation impact of Optimal Control Applications and Methods by publication year
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Most-cited papers in Optimal Control Applications and Methods
Summary This paper describes autonomous racing of RC race cars based on mathematical optimization. Using a dynamical model of the vehicle, control inputs are computed by receding horizon based controllers, where the objective is to maximize progress on the track subject to the requirement of staying on the track and avoiding opponents. Two different control…
Abstract An hp ‐adaptive pseudospectral method is presented for numerically solving optimal control problems. The method presented in this paper iteratively determines the number of segments, the width of each segment, and the polynomial degree required in each segment in order to obtain a solution to a user‐specified accuracy. Starting with a global pseudospectral approximation…
Abstract A system of ordinary differential equations, which describes the interaction of HIV and T ‐cells in the immune system is utilized, and optimal controls representing drug treatment strategies of this model are explored. Two types of treatments are used, and existence and uniqueness results for the optimal control pair are established. The optimality system…
Abstract Gaining insights into pedestrian flow operations and assessment tools for pedestrian walking speeds and comfort is important in, for instance, planning and geometric design of infrastructural facilities, as well as for management of pedestrian flows under regular and safety‐critical circumstances. Pedestrian flow operations are complex, and vehicular flow simulation modelling approaches are generally not…