scholarly journals Estimation and Control Algorithms of Manufacturing and Sales Processes under Conditions of Incomplete Information

2017 ◽  
Vol 17 (1) ◽  
pp. 91-102
Author(s):  
V.I. Shiryaev ◽  
A.A. Bragina
Keyword(s):  
Incomplete Information ◽  
Control Algorithms ◽  
Estimation And Control ◽  
And Control

Self-Tuning Control of a Heating, Ventilating and Air-Conditioning System

1993 ◽  
Vol 207 (4) ◽  
pp. 243-251
Author(s):  
C Özsoy
Keyword(s):  
Mimo Systems ◽  
Minimum Variance ◽  
Control Algorithms ◽  
Air Conditioning System ◽  
Recursive Parameter Estimation ◽  
Environmental Space ◽  
Self Tuning ◽  
Output System ◽  
Estimation And Control ◽  
And Control

This paper describes the minimum-variance parameter-adaptive (self-tuning) control algorithms for SISO and MIMO systems. The algorithms are designed on the basis of linear input-output system models by the combination of recursive-parameter estimation and control algorithms: a single-variable minimum-variance self-tuning controller and a multi-variable minimum-variance self-tuning controller. These controllers are applied to a three-input three-output single environmental space, which consists of an air heater, air humidifier and ventilator, and whose output variables are temperature, relative humidity and air velocity. The results of simulation indicate that it is possible to use the self-tuning controllers to stabilize the controlled system after a short adaption phase and to achieve at least a satisfactory control performance for time-varying set-points of the output variables.

Integrated Ride and Roll Control Using a Rotary Magneto-Rheological Damper

2010 ◽  
Author(s):  
Flavio Nardi ◽  
Nikolai Moshchuk ◽  
Jihan Ryu ◽  
Chandra Namuduri
Keyword(s):  
Load Transfer ◽  
Ride Quality ◽  
Control Algorithms ◽  
Position Sensor ◽  
Vehicle Dynamic ◽  
Roll Control ◽  
Quality Objective ◽  
Estimation And Control ◽  
Magneto Rheological ◽  
And Control

In this paper we discuss the development of estimation and control algorithms for the in-vehicle implementation of the Rotary Magneto -Rheological damper. Specifically, we address the estimation of sprung mass heave rate based on suspension position sensor measurements, the design of roll angle control based on lateral load transfer distribution concept, and the integration of these two with the wheel hop detection and control algorithms. The resulting integrated ride and roll controller is evaluated based on both vehicle dynamic response and ride quality objective criteria.

scholarly journals Synthetic Patient Database of Drug Effect in General Anesthesia for Evaluation of Estimation and Control Algorithms

2018 ◽  
Vol 51 (15) ◽  
pp. 323-328
Author(s):  
Zhaoyu Guo ◽  
Alexander Medvedev ◽  
Luca Merigo ◽  
Nicola Latronico ◽  
Massimiliano Paltenghi ◽  
...  
Keyword(s):  
General Anesthesia ◽  
Drug Effect ◽  
Control Algorithms ◽  
Patient Database ◽  
Estimation And Control ◽  
And Control

Identification and Control of Multidimensional Delayed Processes in Conditions of Incomplete Information

2021 ◽  
Vol 27 (12) ◽  
pp. 658-667
Author(s):  
A. V. Medvedev ◽  
◽  
D. I. Yareshchenko ◽  
Keyword(s):  
Incomplete Information ◽  
A Priori ◽  
Identification Problem ◽  
Control Algorithms ◽  
Main Task ◽  
Multidimensional System ◽  
Implicit Equations ◽  
Priori Information ◽  
Definition Of ◽  
And Control

Problems of identification and control of multidimensional discrete-continuous processes with delay in conditions of incomplete information about the object are considered. In such conditions, the form of parametric equations for various channels of the object is absent due to the lack of a priori information. Moreover, multidimensional processes have stochastic dependences of the components of the vector of output variables. Under such conditions, the mathematical description of such processes leads to a system of implicit equations. Nonparametric identification and control algorithms for multidimensional systems are proposed. The main task of modeling such processes is to determine the predicted values of the output variables from the known input. Moreover, for implicit equations, it is only known that one or another output variable can depend on other input and output variables that determine the state of a multidimensional system. In this study, a nontrivial situation arises when solving a system of implicit equations under conditions when the dependences between the components of the output variables are unknown. The application of the parametric theory of identification in this case will not lead to success. One of the possible directions is the use of the theory of nonparametric systems. The main content of the work is the solution of the identification problem in the presence of dependencies of the output variables and then the solution of the control problem for such a process. Here you should pay attention to the fact that when determining the reference actions for a multidimensional system, it is first necessary to solve the system of reference actions, since it is not possible to choose arbitrarily setting influences from the range of definition of output variables. Computational eXperiments aimed at investigating the effectiveness of the proposed identification and control algorithms are presented.

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