MCDM is considered as a complex decision-making tool involving both quantitative and
qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to …

In recent years several previous scholars made attempts to develop, extend, propose and
apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving …

Abstract The Multiple Criteria Decision Making (MCDM) utility determining approaches and
fuzzy sets are considered to be new development approaches, which have been recently …

Finite control set model predictive control is an emerging alternative in the control of power
converters and drives. The method allows flexible control schemes with fast dynamics …

Finite-states model predictive control is a rising alternative in the control of power converters
and drives. Successful application to different topologies and applications such as two-level …

Decision making and control are two fields with distinct methods for solving problems, and
yet they are closely related. This book bridges the gap between decision making and control …

In the recent years, the use of model predictive control in electrical drives has been widely
reported both theoretically and experimentally. Predictive torque control has been …

In this paper, a novel fuzzy Generalized Predictive Control (GPC) is proposed for discrete-
time nonlinear systems via Takagi-Sugeno system based Kernel Ridge Regression (TS …

This paper presents a design methodology for predictive control of industrial processes via
recurrent fuzzy neural networks (RFNNs). A discrete-time mathematical model using RFNN …

An adaptive predictive control with recurrent neural network prediction for industrial
processes is presented. The neural predictive control law with integral action is derived …