Control of a multivariable system using optimal control pairs: a quadruple-tank process
This paper deals with one of the possible ways to control multivariable (MIMO) control loops.
The suggested control design procedure uses the so-called primary controllers, auxiliary …
The suggested control design procedure uses the so-called primary controllers, auxiliary …
Practical control performance assessment method using Hurst exponents and crossover phenomena
This paper proposes a new Hurst exponent-based method to evaluate the performance of
control loops by estimating Minimum Variance Index (MVI). Incorrect estimation of time …
control loops by estimating Minimum Variance Index (MVI). Incorrect estimation of time …
An alternative method for estimating Hurst exponent of control signals based on system dynamics
One of the indices for evaluating the performance of control systems based on the routine
operation data is the Hurst index. It is shown that the Hurst index value is very close to that of …
operation data is the Hurst index. It is shown that the Hurst index value is very close to that of …
Performance assessment of decentralized control systems: An iterative approach
In this work, an efficient approach for performance assessment of decentralized control
systems based on a general quadratic performance index involving both system states and …
systems based on a general quadratic performance index involving both system states and …
Dynamic data reconciliation for enhancing performance of minimum variance control in univariate and multivariate systems
Healthy controllers are required in order for the control systems to maintain a high level of
performance. In past research, minimum variance control (MVC) played a crucial role as a …
performance. In past research, minimum variance control (MVC) played a crucial role as a …
Performance assessment for non-Gaussian systems by minimum entropy control and dynamic data reconciliation
M Ren, W Zhang, J Chen, P Shi, G Yan - Journal of the Franklin Institute, 2022 - Elsevier
Control performance of the industrial process is inevitably influenced by the measurement
noises and non-Gaussian external disturbances. This influence has not been fully …
noises and non-Gaussian external disturbances. This influence has not been fully …
Interaction measurement for complex multivariable models with various reference inputs based on RNGA
X Luan, Q Chen, F Liu - 2017 11th Asian control conference …, 2017 - ieeexplore.ieee.org
Relative normalized gain array (RNGA) loop pairing criterion for complex multivariable
systems subject to a class of reference inputs is investigated. The existing RNGA technique …
systems subject to a class of reference inputs is investigated. The existing RNGA technique …
Multivariable system stabilization via discrete variable structure control
This paper presents the design of an incremental discrete variable structure controller,
based on the minimization of the generalized minimum variance approach, to deal with …
based on the minimization of the generalized minimum variance approach, to deal with …
[PDF][PDF] Analysis and improvement of the influence of measurement noise on MVC based controller performance assessment
S Zhao, G Yang, Z Zhang, C Chen - Int. J. Innov. Comput. Inf. Control, 2018 - ijicic.org
Industrial systems require healthy controllers with high level of control performance.
Controller performance assessment (CPA) is very crucial to recognize and correct the …
Controller performance assessment (CPA) is very crucial to recognize and correct the …
A Study on Minimum Variance Benchmark under Actuator Constrains and Stochastic Disturbances
QY Zhang, YR Xu - Applied Mechanics and Materials, 2015 - Trans Tech Publ
As a benchmark to assess the performance of the control loops, MV (minimum variance) has
been widely used in industrial process. MV control gives the lowest achievable output …
been widely used in industrial process. MV control gives the lowest achievable output …