Visualizing Non-Linear Control System Performance by Means of Multidimensional Scaling | Zendy

J. A. Tenreiro Machado | Zendy

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Visualizing Non-Linear Control System Performance by Means of Multidimensional Scaling

Author(s) -

J. A. Tenreiro Machado

Publication year - 2013

Publication title -

journal of computational and nonlinear dynamics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.606

H-Index - 48

eISSN - 1555-1423

pISSN - 1555-1415

DOI - 10.1115/1.4024540

Subject(s) - multidimensional scaling , nonlinear system , scaling , control theory (sociology) , controller (irrigation) , computer science , extension (predicate logic) , multidimensional systems , fourier transform , action (physics) , control engineering , control (management) , mathematics , engineering , artificial intelligence , machine learning , mathematical analysis , physics , geometry , quantum mechanics , agronomy , biology , programming language

This paper addresses the use of multidimensional scaling in the evaluation of controller performance. Several nonlinear systems are analyzed based on the closed loop time response under the action of a reference step input signal. Three alternative performance indices, based on the time response, Fourier analysis, and mutual information, are tested. The numerical experiments demonstrate the feasibility of the proposed methodology and motivate its extension for other performance measures and new classes of nonlinearities

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