scholarly journals POD-Based Mixed-Integer Optimal Control of Evolution Systems

2020 ◽  
pp. 238-264
Author(s):  
Christian Jäkle ◽  
Stefan Volkwein
Keyword(s):  
Optimal Control ◽  
Mixed Integer ◽  
Evolution Systems

Towards an Efficient Numerical Procedure for Mixed Integer Optimal Control

1997 ◽  
Vol 21 (1-2) ◽  
pp. S457-S462 ◽  
Author(s):  
M Mohideen
Keyword(s):  
Optimal Control ◽  
Numerical Procedure ◽  
Mixed Integer

Optimal Control of Induced Draft Cooling Tower using Mixed Integer Programming

2021 ◽  
Author(s):  
Faiq Ghawash ◽  
Morten Hovd ◽  
Brad Schofield
Keyword(s):  
Optimal Control ◽  
Integer Programming ◽  
Mixed Integer Programming ◽  
Cooling Tower ◽  
Mixed Integer

scholarly journals On the time transformation of mixed integer optimal control problems using a consistent fixed integer control function

2016 ◽  
Vol 161 (1-2) ◽  
pp. 551-581 ◽  
Author(s):  
Maik Ringkamp ◽  
Sina Ober-Blöbaum ◽  
Sigrid Leyendecker
Keyword(s):  
Optimal Control ◽  
Optimal Control Problems ◽  
Control Function ◽  
Mixed Integer ◽  
Time Transformation ◽  
Control Problems ◽  
Fixed Integer

scholarly journals Multiphase mixed-integer nonlinear optimal control of hybrid electric vehicles

Automatica ◽  
2021 ◽  
Vol 123 ◽  
pp. 109325 ◽  
Author(s):  
Nicolò Robuschi ◽  
Clemens Zeile ◽  
Sebastian Sager ◽  
Francesco Braghin
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Nonlinear Optimal Control ◽  
Mixed Integer ◽  
Hybrid Electric

scholarly journals Mixed-integer optimal control under minimum dwell time constraints

2020 ◽  
Author(s):  
Clemens Zeile ◽  
Nicolò Robuschi ◽  
Sebastian Sager
Keyword(s):  
Optimal Control ◽  
Dwell Time ◽  
Mixed Integer ◽  
Time Constraints

scholarly journals GEKKO Optimization Suite

Processes ◽  
2018 ◽  
Vol 6 (8) ◽  
pp. 106 ◽  
Author(s):  
Logan Beal ◽  
Daniel Hill ◽  
R. Martin ◽  
John Hedengren
Keyword(s):  
Optimal Control ◽  
Optimization Problems ◽  
Object Oriented ◽  
Differential Algebraic Equations ◽  
Mixed Integer ◽  
Modeling Languages ◽  
Algebraic Equations ◽  
Simulation And Optimization ◽  
Algebraic Modeling Languages ◽  
Real Time Optimization

This paper introduces GEKKO as an optimization suite for Python. GEKKO specializes in dynamic optimization problems for mixed-integer, nonlinear, and differential algebraic equations (DAE) problems. By blending the approaches of typical algebraic modeling languages (AML) and optimal control packages, GEKKO greatly facilitates the development and application of tools such as nonlinear model predicative control (NMPC), real-time optimization (RTO), moving horizon estimation (MHE), and dynamic simulation. GEKKO is an object-oriented Python library that offers model construction, analysis tools, and visualization of simulation and optimization. In a single package, GEKKO provides model reduction, an object-oriented library for data reconciliation/model predictive control, and integrated problem construction/solution/visualization. This paper introduces the GEKKO Optimization Suite, presents GEKKO’s approach and unique place among AMLs and optimal control packages, and cites several examples of problems that are enabled by the GEKKO library.

scholarly journals Turnpike Properties in Discrete-Time Mixed-Integer Optimal Control

2020 ◽  
Vol 4 (3) ◽  
pp. 704-709
Author(s):  
Timm Faulwasser ◽  
Alexander Murray
Keyword(s):  
Optimal Control ◽  
Discrete Time ◽  
Mixed Integer
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