Self-tuning pole-placement multivariable control of blood pressure for post-operative patients: a model-based study

1990 ◽  
Vol 137 (1) ◽  
pp. 13 ◽  
Author(s):  
N.-E. Mansour ◽  
D.A. Linkens
Keyword(s):  
Blood Pressure ◽  
Multivariable Control ◽  
Pole Placement ◽  
Model Based ◽  
Self Tuning

Pole-placement self-tuning control of a fixed-bed autothermal reactor. Part II: Multivariable control

AIChE Journal ◽  
1986 ◽  
Vol 32 (6) ◽  
pp. 1015-1024 ◽  
Author(s):  
P. E. McDermott ◽  
D. A. Mellichamp ◽  
R. G. Rinker
Keyword(s):  
Fixed Bed ◽  
Multivariable Control ◽  
Pole Placement ◽  
Self Tuning

Self-Tuning Control Systems

2011 ◽  
pp. 315-349 ◽  
Author(s):  
Keith J Burnham ◽  
Ivan Zajic ◽  
Jens G Linden
Keyword(s):  
Minimum Variance ◽  
Pole Placement ◽  
Future Research ◽  
Bilinear Model ◽  
Research Directions ◽  
Model Based ◽  
Self Tuning ◽  
On Line ◽  
Standard Linear ◽  
Future Research Directions

A concise technical overview of some of the key ‘landmark’ developments in self-tuning control (STC) are presented. The notion of two coupled sub-algorithms forming the basis of STC together with enhancements to produce adaptive on-line procedures is discussed as well as the potential limitations of such schemes. The techniques covered include optimal minimum variance, sub-optimal pole-placement and long range model-based predictive control. Based on the experiences of the authors in the industrial application of STC, extensions of the standard linear model-based approaches to encompass a class of bilinear model-based schemes, are proposed. Some on-going developments and future research directions in STC for bilinear systems are highlighted. These include the requirements for combined algorithms for control and fault diagnosis and the need for models of differing complexities.

scholarly journals A novel short-term blood pressure prediction model based on LSTM

2019 ◽  
Author(s):  
Qingxiang Zhao ◽  
Xiaobing Hu ◽  
Jing Lin ◽  
Xi Deng ◽  
Hang Li
Keyword(s):  
Blood Pressure ◽  
Prediction Model ◽  
Short Term ◽  
Model Based

scholarly journals Control of Pole-Climbing Robot Orientation using Self-Tuning Method

2018 ◽  
Vol 9 (3) ◽  
pp. 1029
Author(s):  
Muhammad Aziz Muslim ◽  
Goegoes Dwi Nusantoro ◽  
Rini Nur Hasanah ◽  
Mokhammad Hasyim Asy’ari
Keyword(s):  
Pole Placement ◽  
Original Position ◽  
Main Task ◽  
Climbing Robot ◽  
Positive Direction ◽  
Rotary Encoder ◽  
Tuning Method ◽  
Placement Method ◽  
Angle Change ◽  
Self Tuning

This paper describes the method to control a hybrid robot whose main task is to climb a pole to place an object on the top of the pole. The hybrid pole-climbing robot considered in this paper uses 2 Planetary PG36 DC-motors as actuators and an external rotary encoder sensor to provide a feedback on the change in robot orientation during the climbing movement. The orientation control of the pole-climbing robot using self-tuning method has been realized by identifying the transfer function of the actuator system under consideration, being followed with the calculation of control parameters using the self-tuning pole-placement method, and furthermore being implemented on the external rotary encoder sensor. Self-tuning pole-placement method has been explored to control the parameters q<sub>0</sub>, q<sub>1</sub>, q<sub>2</sub>, and p<sub>1</sub> of the controller. The experiments were done on a movement path in a form of a cylindrical pole. The first experiment was done based one the change in rotation angle of the rotary sensor with the angle values greater than 50˚ in the positive direction, whereas the second experiment was done with the angle values greater than -50˚ in the negative direction. The experiment results show that the control of the robot under consideration could maintain its original position at the time of angle change disturbance and that the robot could climb in a straight direction within the specified tolerance of orientation angle change.

Model-based filtering and compression of oscillometric blood pressure pulses

2016 ◽  
Author(s):  
David Abolarin ◽  
Mohamad Forouzanfar ◽  
Voicu Z. Groza ◽  
Sreeraman Rajan ◽  
Hilmi R. Dajani ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Model Based ◽  
Pressure Pulses
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