The performance of the fuzzy controllers depends highly on the proper selection of some
design parameters which is usually tuned iteratively via a trial and error process based …

This paper studies the system identification and robust control of a multi-input multi-output
(MIMO) active magnetic bearing (AMB) system. The AMB system under study is open-loop …

Fractional order (FO) controllers are among the emerging solutions for increasing closed-
loop performance and robustness. However, they have been applied mostly to stable …

Active magnetic bearing systems (AMBs) have many potential industrial applications where
extremely fast and accurate operations are required. However, AMBs are often subject to …

Ambiguity is always present in any realistic process. Imprecisely defined classes play an
important role in human thinking. The ambiguity may arise from the interpretation of the data …

Fuzzy Logic Controllers (FLCs) are intelligent control methods, where membership functions
and corresponding rules are defined to get a proper control signal. The parameters were …

Distribution power system has poor power quality and dynamic performance due to
insufficient reactive power support during disturbances. Distribution Static Compensator …

This paper explores the capability of the Binary Artificial Bee Colony (BABC) algorithm for
feature selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs …

Accurate parameter estimation is of increasing importance in system modeling and control of
highperformance motor drive systems. The inaccurate calculation or assumption of the …

A dedicated Genetic Algorithm (GA) has been developed to localize the trajectory of
ferromagnetic moving objects within a bounded perimeter. Localization of moving …