Optimal control techniques for large, nonlinear, rational expectations models

2003 ◽  
Author(s):  
P.G. Fisher
Keyword(s):  
Optimal Control ◽  
Rational Expectations ◽  
Control Techniques ◽  
Nonlinear Rational Expectations Models

A comparison of active vibration control techniques - Output feedback vs optimal control

1987 ◽  
Author(s):  
ZORAN MARTINOVIC ◽  
RAPHAEL HAFTKA ◽  
WILLIAM HALLAUER, JR. ◽  
GEORGE SCHAMEL, II
Keyword(s):  
Optimal Control ◽  
Vibration Control ◽  
Output Feedback ◽  
Active Vibration Control ◽  
Control Techniques ◽  
Active Vibration

Optimal control techniques for the adaptive optics system of the LBT

2008 ◽  
Author(s):  
G. Agapito ◽  
F. Quiros-Pacheco ◽  
P. Tesi ◽  
S. Esposito ◽  
M. Xompero
Keyword(s):  
Optimal Control ◽  
Adaptive Optics ◽  
Control Techniques ◽  
Adaptive Optics System

Modeling the action of drugs on cellular enzymes by means of optimal control techniques

2010 ◽  
Vol 49 (3) ◽  
pp. 776-795 ◽  
Author(s):  
A. M. Bersani ◽  
E. Bersani ◽  
L. Mastroeni
Keyword(s):  
Optimal Control ◽  
Control Techniques

scholarly journals Optimal Control Techniques in Applicable Values of Turbine Speed Governor Regulation

2015 ◽  
Vol 2 (8) ◽  
pp. 9-20
Author(s):  
Youssef A. Mobarak ◽  
Deraz S. A ◽  
M. El-Shahat Dessouki ◽  
Almazmomi R
Keyword(s):  
Optimal Control ◽  
Control Techniques ◽  
Speed Governor ◽  
Turbine Speed

scholarly journals An inverse problem for evolution inclusions

2002 ◽  
Vol 7 (1) ◽  
pp. 35-51
Author(s):  
Bui An Ton
Keyword(s):  
Optimal Control ◽  
Inverse Problem ◽  
Evolution Inclusions ◽  
Control Techniques ◽  
Convective Coefficient

An inverse problem, the determination of the shape and a convective coefficient on a part of the boundary from partial measurements of the solution, is studied using 2-person optimal control techniques.

A nature inspired optimal control of pneumatic-driven parallel robot platform

2016 ◽  
Vol 231 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Dragan Pršić ◽  
Novak Nedić ◽  
Vladimir Stojanović
Keyword(s):  
Optimal Control ◽  
Feedback Linearization ◽  
Degrees Of Freedom ◽  
Complex Dynamics ◽  
Parallel Robot ◽  
Environmental Safety ◽  
Strong Nonlinearity ◽  
Control Techniques ◽  
Parallel Robot Platform ◽  
Robot Platform

Woodworking industry is increasingly characterized by processing complex spatial forms with high accuracy and high speeds. The use of parallel robot platforms with six degrees of freedom gains more significance. Due to stricter requirements regarding energy consumption, easy maintenance and environmental safety, parallel platforms with pneumatic drives become more and more interesting. However, the high precision tracking control of such systems represents a serious challenge for designers. The reason is found in complex dynamics of the mechanical system and strong nonlinearity of the pneumatic system. This paper presents an optimal control design for a pneumatically driven parallel robot platform. The Proportional-Integral-Derivative (PID) algorithm with feedback linearization is used for control. The parameter search method is based on a firefly algorithm due to the empirical evidence of its superiority in solving various nonconvex problems. The simulation results show that the proposed optimal tuned cascade control is effective and efficient. These results clearly demonstrate that the proposed control techniques exhibit significant performance improvement over classical and widely used control techniques.

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