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Variable structure systems theory based training strategies for computationally intelligent systems
IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)
Variable Structure Systems (VSS) Theory, which is particularly well developed for tracking control of uncertain nonlinear systems, has inspired the scientists in developing solutions to ill-posed problems like the design of training criteria under a set of conditions and performance metrics. The underlying idea has been to exploit the invariance properties introduced by the theory together with the parametric flexibility of the architectures of computational intelligence. Since the traditional
doi:10.1109/iecon.2001.975526
fatcat:danprfiy7jhphbsh74lfkqjhpm