Multiobjective process controllability analysis

Multiobjective process controllability analysis

A new approach for process controllability analysis by using multiobjective optimisation techniques is proposed. Within the approach, a set of performance specifications, such as minimum control error and input effort with closed-loop pole placement are represented as a set of linear matrix inequalities (LMI). The solution to the LMI conditions can be identified as feasible or infeasible. If th...

A Review on Process Controllability

Definitions of terms used within process flexibility design and controllability assessment are given and their relations discussed. Methods for controllability evaluation and methodologies for integrating these into the design process are reviewed for some modes of operation. Basically two types of evaluation and design methods prevail; One type is based upon linear model analysis, whereas anot...

Controllability of Process with Large Gains

There is some disagreement in the literature on whether large plant gains are a problem or not when it comes to input-output controllability. In this paper, the effect of two kinds of input errors is studied and controllability requirements are derived. First, input disturbances are studied. These may pose a problem if the plant gain is large at high frequencies. Second, we study the nonlinear ...

Multiobjective Analysis to Identify

Robustness analysis of network controllability

Structural controllability, which is an interesting property of complex networks, attracts many researchers from various fields. The maximum matching algorithm was recently applied to explore the minimum number of driver nodes, where control signals are injected, for controlling the whole network. Here we study the controllability of directed Erdös–Rényi and scale-free networks under attacks an...