The book "Off-line and On-line Parameter Estimation of Induction Machines" offers a comprehensive analysis of parameter estimation for induction machines (IM), both in off-line and on-line operation. It addresses the necessity of these estimations to improve the control and operational efficiency of induction machines. The authors present two advanced particle swarm optimization (PSO) algorithms developed for the off-line parameter estimation of three-phase and single-phase induction machines. Additionally, a recursive least squares (RLS) algorithm with multiple time-varying forgetting factors is introduced, enabling efficient on-line parameter estimation and tracking variations in IM parameters during operation. Another focus of the book is on energy-efficient control of induction machines, proposing a control strategy using an optimal reference value for the rotor flux of the IM. The techniques presented aim to maximize the efficiency and accuracy of control.