Optimization and control problems in Real-time Intrusion Detection

2003 ◽  
Author(s):  
J.B.D. Cabrera ◽  
W. Lee ◽  
R.K. Prasanth ◽  
L. Lewis ◽  
R.K. Mehra
Keyword(s):  
Intrusion Detection ◽  
Real Time ◽  
Control Problems ◽  
Optimization And Control ◽  
And Control

scholarly journals A global method for some class of optimization and control problems

2000 ◽  
Vol 23 (9) ◽  
pp. 605-616 ◽  
Author(s):  
R. Enkhbat
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Convex Function ◽  
Control Problem ◽  
Optimality Condition ◽  
Optimal Control Problems ◽  
Control Problems ◽  
Global Method ◽  
Optimization And Control ◽  
And Control

The problem of maximizing a nonsmooth convex function over an arbitrary set is considered. Based on the optimality condition obtained by Strekalovsky in 1987 an algorithm for solving the problem is proposed. We show that the algorithm can be applied to the nonconvex optimal control problem as well. We illustrate the method by describing some computational experiments performed on a few nonconvex optimal control problems.

scholarly journals An adaptive real-time grey-box model for advanced control and operations in WRRFs

2021 ◽  
Author(s):  
Cheng Yang ◽  
Peter Seiler ◽  
Evangelia Belia ◽  
Glen T. Daigger
Keyword(s):  
Real Time ◽  
Explanatory Power ◽  
Box Model ◽  
Box Models ◽  
Advanced Control ◽  
Optimization And Control ◽  
Fit For Purpose ◽  
Commercial Process ◽  
And Control ◽  
Process Simulator

Abstract Grey-box models, which combine the explanatory power of first-principle models with the ability to detect subtle patterns from data, are gaining increasing attention in wastewater sectors. Intuitive, simple structured but fit-for-purpose grey-box models that capture time-varying dynamics by adaptively estimating parameters are desired for process optimization and control. As an example, this study presents the identification of such a grey-box model structure and its further use by an Extended Kalman Filter (EKF), for the estimation of the nitrification capacity and ammonia concentrations of a typical Modified Ludzack-Ettinger (MLE) process. The EKF was implemented and evaluated in real time by interfacing Python with SUMO (Dynamita™), a widely used commercial process simulator. The EKF was able to accurately estimate the ammonia concentrations in multiple tanks when given only the concentration in one of them. Besides, the nitrification capacity of the system could be tracked in real time by the EKF, which provides intuitive information for facility managers and operators to monitor and operate the system. Finally, the realization of EKF is critical to the development of future advance control, for instance, model predictive control.

Dynamic real-time optimization and control of a hybrid energy system

AIChE Journal ◽  
2014 ◽  
Vol 60 (7) ◽  
pp. 2546-2556 ◽  
Author(s):  
Milana Trifkovic ◽  
W. Alex Marvin ◽  
Prodromos Daoutidis ◽  
Mehdi Sheikhzadeh
Keyword(s):  
Real Time ◽  
Energy System ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Time Optimization ◽  
Optimization And Control ◽  
And Control ◽  
Real Time Optimization

Optimization and Control Problems in Large-Scale Systems

1975 ◽  
Vol 8 (1) ◽  
pp. 82-94 ◽  
Author(s):  
R. Kulikowski ◽  
L. Krus ◽  
K. Mańczak ◽  
A. Straszak
Keyword(s):  
Large Scale ◽  
Control Problems ◽  
Large Scale Systems ◽  
Optimization And Control ◽  
And Control
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