Advances in Multiple Models Based Adaptive Switching Control: From Conventional to Intelligent Approaches

作者: Nikolaos A. Sofianos , Yiannis S. Boutalis

DOI: 10.1007/978-3-662-43370-6_3

关键词: Fuzzy logicAdaptive controlControl systemTRACE (psycholinguistics)Scope (project management)Control engineeringStability (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

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