An Insight into Recent Advances in the Intelligent Controller Methods

Different soft computing techniques based on artificial intelligence sub-fields such as fuzzy logic, neural networks, granular computing, and other nature-inspired evolutionary and optimizing techniques, emerged during the last few decades, have found potential applications in the fields of science and engineering, especially analysis and synthesis of the control system. In this paper, a comprehensive study has been performed exclusively on different intelligent techniques, and a critical analysis of implemented techniques has been summarized to enable readership into future possibilities. Besides critical analysis, it is also concluded that the more comprehensive error calculation (IAE, ISE, ITAE, etc.)-based performance analysis exhibits better accuracy and performance than indices calculation (rise time, settling time, etc.) based on transient analysis.