.png){kind=icon}
.png){kind=icon}
Return
Optimal controller properties from closed-loop experiments
.png){kind=icon}
PRE
AI
DOI：10.1016/S0005-1098(97)00169-6.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A model-free approach to linear quadratic (LQ) performance assessment is presented in this paper. First a test for LQ optimality, based on closed-loop signals, is presented. Its result indicates whether the controller should be adjusted. From the same test it is possible to determine the closed-loop pole positions which would be obtained by using the LQ optimal controller. These may then be used in a direct adaptive control scheme to adjust the controller. Both state and output feedback are addressed for discrete-time, single-input-single-output (SISO), linear, time-invariant processes. (C) 1998 Elsevier Science Ltd. All rights reserved.
Keywords:
performance monitoring
linear quadratic regulators
direct adaptive control
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.