A discrete time self tuning computed torque controller for robotic manipulators

Author(s):  
G. Bastin ◽  
A.-m. Guillaume ◽  
G. Campion
1993 ◽  
Vol 115 (3) ◽  
pp. 569-571 ◽  
Author(s):  
Q. Song ◽  
J. Wilkie ◽  
M. J. Grimble

A feasibility study is described for the design of a self-tuning controller for gas turbines with the multivariable discrete-time robust controller designed using a Linear Quadratic Gaussian/ Loop Transfer Recovery (LQG/LTR) design approach.


1993 ◽  
Vol 115 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Takashi Yahagi ◽  
Jianming Lu

This paper presents a new method for self-tuning control of nonminimum phase discrete-time stochastic systems using approximate inverse systems obtained from the least-squares approximation. We show how unstable pole-zero cancellations can be avoided, and that this method has the advantage of being able to determine an approximate inverse system independently of the plant zeros. The proposed scheme uses only the available input and output data and the stability using approximate inverse systems is analyzed. Finally, the results of computer simulation are presented to show the effectiveness of the proposed method.


Author(s):  
A. Królikowski ◽  
D. Horla

Robustness of adaptive discrete-time LQG control for first-order systemsThe discrete-time adaptive LQG control of first-order systems is considered from robustness point of view. Both stability and performance robustness are analyzed for different control system structures. A case of amplitude-constrained control is presented, and application of certainty equivalence for self-tuning implementation is also discussed.


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