| dc.contributor.author | Moran, Francis | en_US |
| dc.contributor.author | Adegbege, Ambrose A. | en_US |
| dc.date.accessioned | 2021-03-09T14:31:31Z | |
| dc.date.available | 2021-03-09T14:31:31Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://dr.tcnj.edu/handle/2900/3696 | |
| dc.description | Department of Electrical and Computer Engineering | en_US |
| dc.description.abstract | This research sought out to determine a method for finding an optimal anti-windup gain for a convex system. The combination of two past works led to this method. The first publication, Static Anti-Windup Design, used a linear matrix inequality, or LMI, to determine an anti-windup gain for a nonlinear system. This LMI guaranteed regional stability paired with performance. The second paper, Saddle Point Convergence of Constrained Primal-Dual Dynamics, showed how a convex primal dual system can be implemented with control. This research bridges the gap between these works. | en_US |
| dc.description.sponsorship | College of New Jersey (Ewing, N.J.). Office of Academic Affairs | en_US |
| dc.description.sponsorship | MUSE (Mentored Undergraduate Summer Experience) | en_US |
| dc.description.sponsorship | NJSGC (New Jersey Space Grant Consortium) | en_US |
| dc.language.iso | en_US | en_US |
| dc.rights | File access restricted due to FERPA regulations | en_US |
| dc.title | Using Linear Matrix Inequalities to Optimize Anti-Windup Gain for Convex Systems | en_US |
| dc.type | Poster | en_US |
| dc.type | Presentation | en_US |
| dc.type | Text | en_US |
