Device of simultaneous input/output of signals for fiber optical distributed network

2004 ◽  
Author(s):  
Yury N. Kulchin ◽  
Roman S. Drozdov ◽  
Igor V. Denisov ◽  
Victor A. Sedov
1997 ◽  
Vol 122 (1) ◽  
pp. 49-62 ◽  
Author(s):  
A. S. Tsirikos ◽  
K. G. Arvanitis

The disturbance rejection with simultaneous input-output linearization and decoupling problem of nonsquare nonlinear systems via restricted state feedback is investigated in this paper. The problem is treated on the basis of an algebraic approach whose main feature is that it reduces the determination of the admissible state feedback control laws to the solution of an algebraic and a first order partial differential systems of equations. Verifiable necessary and sufficient conditions of algebraic nature based on these systems of equations are established for the solvability of the aforementioned problem. Moreover, an explicit expression for a special admissible restricted state feedback controller is analytically derived. [S0022-0434(00)02101-8]


1968 ◽  
Vol 65 (2) ◽  
pp. 202-204 ◽  
Author(s):  
G. Philokyprou ◽  
A. Zacharacopoulos

2003 ◽  
Author(s):  
Yuri N. Kulchin ◽  
Oleg T. Kamenev ◽  
Yuri S. Petrov ◽  
Mihail Kantur

1970 ◽  
Vol 15 (2) ◽  
pp. 115, 118
Author(s):  
WILLIAM E. COLEMAN

1993 ◽  
Vol 3 (9) ◽  
pp. 1751-1759 ◽  
Author(s):  
N. Hassaine ◽  
K. Sauv ◽  
A. Konczykowska ◽  
R. Lefevre

Author(s):  
Vinodhini M.

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.


Sign in / Sign up

Export Citation Format

Share Document