.png){kind=icon}
.png){kind=icon}
Return
Optimistic value-based optimal control problems with uncertain discrete-time noncausal systems
.png){kind=icon}
OA
AI
DOI：10.1016/j.amc.2023.128301.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Uncertain discrete-time noncausal systems are uncertain singular systems that are supposed to be regular along. This study examines optimal control problems (OCPs) using the optimistic value criterion in the context of uncertain discrete-time noncausal systems. Recurrence equations for tackling these OCPs are provided in terms of uncertainty theory. These equations have effectively addressed OCPs involving uncertain noncausal systems with linear, quadratic, and cubic controls, resulting in analytical expressions for their optimal solutions. For illustration, an example is offered to highlight the usefulness of our results.
Keywords:
Uncertainty theory
Uncertain optimal control
Optimistic value
Singular system
Recurrence equations
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.4
Papers:
2.3W
Citations:
3.3W
View more organizations