A Hybrid Computing Solution to Nonlinear Optimization Problems

Citation Author(s):
Kamlesh
Sawant
University of Minnesota
Dillon
Nguyen
Cal Poly
Alex
Liu
Cal Poly
Jason
Poon
Cal Poly
Sairaj
Dhople
University of Minnesota
Submitted by:
Kamlesh Sawant
Last updated:
Thu, 12/12/2024 - 12:15
DOI:
10.21227/pawk-d146
Research Article Link:
A Hybrid-Computing Solution to Nonlinear Optimization Problems
License:
Creative Commons Attribution
177 Views
Categories:
Power and Energy
Keywords:
gradient-based methods, Constraint optimization, Analog circuits
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Abstract 

The simulation files are for the manuscript:  A Hybrid-Computing Solution to Nonlinear Optimization Problems. This supplementary material contains simulation files used to generate the results presented in the manuscript. The simulations are performed using LTspice XVII, OrCAD X Capture (PSpice) Professional Plus (2023), and MATLAB R2023a on the Windows operating system.

Instructions: 

The simulation files are organized as follows:

  •  LTspice folder:  
    • "SHM_2_Angles_Fig_10.asc": Generates results for Figure 10 (Right) of the manuscript.  
  • PSpice folder: 
    • "Running_Example_AC_Fig7b_Fig7c": Generates results for Figure 7 (b) and Figure 7 (c) of the manuscript. 
    • "Running_Example_Delay_Fig6_Right": Generates results for Figure 6 (Right) of the manuscript. 
  • Please download "DDE-Biftool,” -  A set of routines for performing numerical bifurcation analysis of delay-differential equations, running in MATLAB (Link: GitHub - DDE-BifTool/DDE-Biftool).
  •   MATLAB folder: 
    • "Running_Example_DDE_BIFTOOL_Fig6_Left.m": Generates results for Figure 6 (Left) of the manuscript. 
    • "Running_Example_DDE_BIFTOOL_Fig7a.m": Generates results for Figure 7 (a) of the manuscript.
    • "SHM_2_Switching_Angles_DDE_BIFTOOL_Fig10abc_Left.m": Generates results for Figure 10 (Left) of the manuscript.

Contact information: For any questions regarding this supplementary material, please contact Kamlesh Sawant (sawan035@umn.edu).

Funding Agency: 
U.S. National Science Foundation.
Grant Number: 
2305431 and 2305432.

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