scholarly journals Optimal Control Dynamic Relationships and Fiscal Policies in Indonesia’s Economy

2021 ◽  
Vol IX (Issue 1) ◽  
pp. 34-51
Author(s):  
Intan Syahrini ◽  
Yusri Hazmi ◽  
Raja Masbar ◽  
Aliasuddin ◽  
Said Munzir
Keyword(s):  
Optimal Control ◽  
Fiscal Policies ◽  
Control Dynamic ◽  
Dynamic Relationships

Intelligent Control Systems: Are They for Real?

1993 ◽  
Vol 115 (2B) ◽  
pp. 392-401 ◽  
Author(s):  
Rahmat Shoureshi
Keyword(s):  
Neural Networks ◽  
Optimal Control ◽  
Control Systems ◽  
Intelligent Control ◽  
Dynamic Systems ◽  
Specific Problem ◽  
Human Comfort ◽  
Intelligent Control Systems ◽  
Control Dynamic ◽  
New Challenges

The fundamental concept of feedback to control dynamic systems has played a major role in many areas of engineering. Increases in complexity and more stringent requirements have introduced new challenges for control systems. This paper presents an introduction to and appreciation for intelligent control systems, their application areas, and justifies their need. Specific problem related to automated human comfort control is discussed. Some analytical derivations related to neural networks and fuzzy optimal control as elements of proposed intelligent control systems, along with experimental results, are presented. A brief glossary of common terminology used in this area is included.

scholarly journals Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty

2018 ◽  
Vol 36 (3) ◽  
pp. 1015-1032
Author(s):  
P Osinenko ◽  
S Streif
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Function Spaces ◽  
Adaptive Dynamic Programming ◽  
Extremal Functions ◽  
Numerical Errors ◽  
Explicit Consideration ◽  
Control Dynamic ◽  
Arbitrary Precision ◽  
Extremum Value

Abstract The extremum value theorem for function spaces plays the central role in optimal control. It is known that computation of optimal control actions and policies is often prone to numerical errors which may be related to computability issues. The current work addresses a version of the extremum value theorem for function spaces under explicit consideration of numerical uncertainties. It is shown that certain function spaces are bounded in a suitable sense, i.e., they admit finite approximations up to an arbitrary precision. The proof of this fact is constructive in the sense that it explicitly builds the approximating functions. Consequently, existence of approximate extremal functions is shown. Applicability of the theorem is investigated for finite-horizon optimal control, dynamic programming and adaptive dynamic programming. Some possible computability issues of the extremum value theorem in optimal control are shown on counterexamples.

On constrained steady-state optimal control: Dynamic KKT controllers

2008 ◽  
Author(s):  
A. Jokic ◽  
M. Lazar ◽  
P.P.J. van den Bosch
Keyword(s):  
Optimal Control ◽  
Steady State ◽  
Control Dynamic

Optimal control of fiscal policies for Austria: Applications of a stochastic control algorithm

1997 ◽  
Vol 30 (2) ◽  
pp. 1051-1061 ◽  
Author(s):  
Reinhard Neck ◽  
Sohbet Karbuz
Keyword(s):  
Optimal Control ◽  
Stochastic Control ◽  
Control Algorithm ◽  
Fiscal Policies

The Dynamic Relationships of the Cocaine System in the United States

1991 ◽  
Author(s):  
Raymond C. Shreckengost ◽  
Keyword(s):  
United States ◽  
The United States ◽  
Dynamic Relationships

Towards an Efficient Numerical Procedure for Mixed Integer Optimal Control

1997 ◽  
Vol 21 (1-2) ◽  
pp. S457-S462 ◽  
Author(s):  
M Mohideen
Keyword(s):  
Optimal Control ◽  
Numerical Procedure ◽  
Mixed Integer
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