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Stability analysis and controller design of local model networks / Christian Mayr.

9783658340087 (electronic bk.)
3658340088 (electronic bk.)
9783658340070
365834007X

Wiesbaden : Springer Vieweg, [2021]

©2021

English

English, with abstract in German.

1 online resource : illustrations

10.1007/978-3-658-34008-7 doi

QA871 .M39 2021

515/.392

This book treats various methods for stability analysis and controller design of local model networks (LMNs). LMNs have proved to be a powerful tool in nonlinear dynamic system identification. Their system architecture is more suitable for controller design compared to alternative approximation methods. The main advantage is that linear controller design methods can be, at least locally, applied and combined with nonlinear optimization to calibrate stable state feedback as well as PID controller. The calibration of stable state-feedback controllers is based on the closed loop stability analysis methods. Here, global LMIs (Linear Matrix Inequalities) can be derived and numerically solved. For LMN based nonlinear PID controllers deriving global LMIs is not possible. Thus, two approaches are treated in this book. The first approach works iteratively to get LMIs in each iteration step. The second approach uses a genetic algorithm to determine the PID controller parameters where for each individual the stability is checked. It allows simultaneous enhancement of (competing) optimization criteria.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed July 23, 2021).

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