作者: Nikolaos A. Sofianos , Yiannis S. Boutalis
DOI: 10.1007/978-3-662-43370-6_3
关键词: Fuzzy logic 、 Adaptive control 、 Control system 、 TRACE (psycholinguistics) 、 Scope (project management) 、 Control engineering 、 Stability (learning theory) 、 Control (linguistics) 、 Field (computer science) 、 Computer science
摘要: The scope of this chapter is to trace the recent developments in field Intelligent Multiple Models based Adaptive Switching Control (IMMASC) and provide at same time all essential information about conventional single model multiple models adaptive control, which constitute base for development new intelligent methods. This work emphasizes on importance advantages IMMASC control systems technology presenting structures that contain linear robust models, neural T-S (Takagi-Sugeno) fuzzy models. One main switching against architectures they are able stability improved performance environments when be controlled have unknown parameters or highly uncertain parameters. Some hybrid presented a numerical example given order illustrate efficiency