A Discrete Time Adaptive Disturbance Rejection and Control Algorithm Applied to a Model of a Deployable Space Telescope

2002 ◽  
Author(s):  
Eric Mehiel ◽  
Mark Balas ◽  
Robert Fuentes
Keyword(s):  
Discrete Time ◽  
Disturbance Rejection ◽  
Control Algorithm ◽  
Space Telescope ◽  
And Control

Disturbance Rejection for Discrete-Time Linear Systems with Time-Delays via Internal Model Principle

2014 ◽  
Vol 590 ◽  
pp. 478-481
Author(s):  
Shao Ting Ge ◽  
Zhi Min Liu ◽  
Xue Xia Gao ◽  
Mei Xing Wang ◽  
Yu Qing Feng
Keyword(s):  
Linear Systems ◽  
Discrete Time ◽  
Disturbance Rejection ◽  
Delay System ◽  
Time Delay System ◽  
State Delay ◽  
Internal Model Principle ◽  
Disturbance Rejection Control ◽  
And Control ◽  
Time Linear

The disturbance rejection problem for discrete-time linear systems with both state delay and control delay is considered. Using a model transformation, the time-delay system is transformed into a nondelayed system. The disturbance rejection control law is obtained by solving its optimal regulation problem.

Process Control Experience and a Self-Tuning Method for a Discrete-Time, Finite Time Settling Controller/Observer

1977 ◽  
Vol 99 (3) ◽  
pp. 209-211 ◽  
Author(s):  
D. M. Auslander ◽  
M. Tomizuka ◽  
Y. Takahashi
Keyword(s):  
Discrete Time ◽  
Finite Time ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Control Algorithms ◽  
Tuning Method ◽  
New Class ◽  
Time Control ◽  
Self Tuning ◽  
And Control

A self-tuning method is described for a simple discrete-time control algorithm presented in a previous paper. With self-tuning, the algorithm is a candidate for a new class of single-loop controllers that would be considerably more convenient to use than the present analog PID controllers. Experimental results are presented indicating the applicability of the tuning and control algorithms to typical, nonideal processes.

Fast neural learning and control of discrete-time nonlinear systems

1995 ◽  
Vol 25 (3) ◽  
pp. 478-488 ◽  
Author(s):  
Liang Jin ◽  
P.N. Nikiforuk ◽  
M.M. Gupta
Keyword(s):  
Nonlinear Systems ◽  
Discrete Time ◽  
Neural Learning ◽  
And Control
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