NDLI: Extension of the GarSD-toolbox: Polynomial method for guaranteed performance design of sampled-data control systems with non-zero static error and pure delays

Content Provider	IEEE Xplore Digital Library
Author	Rybinskii, V.O. Rosenwasser, E.N. Lampe, B.P.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Electrical Engineering, University of Rostock, 18051, Germany (Lampe, B.P.) \|\| Faculty of Electrical Engineering, State Marine Technological University, 190008 Saint Petersburg, Russia (Rybinskii, V.O.; Rosenwasser, E.N.)
Abstract	Using an extension of the GarSD-toolbox for $MATLAB^{®},$ the paper considers the design of a digital control algorithm for a continuous-time process under external stochastic disturbance, which could possess non-zero mean and its distribution is not exactly known. The problem consists in finding a controller which guarantees a certain performance of the control system in the sense of a given cost functional for all admissible disturbances, i.e. a controller, which is robust with respect to the distribution of the disturbance. In addition, the provided method permits to reduce the static error to zero, and pure delays in the loop are allowed. The method is based on the parametric transfer function concept and design methods for control with guaranteed performance. An example demonstrates its application.
Starting Page	450
Ending Page	455
File Size	259338
Page Count	6
File Format	PDF
ISBN	9781457710667
e-ISBN	9781457710674
DOI	10.1109/CACSD.2011.6044546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polynomials Transfer functions Delay Marine vehicles Cost function MATLAB^®-Toolbox Synthesis of stochastic systems Systems with time-delays Stochastic optimal control problems Probabilistic robustness Controller optimization by genetic and evolutionary algorithms Marine system guidance and control
Content Type	Text
Resource Type	Article

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