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Furthermore, a gramian-based interaction measure for control structure selection of multivariable stochastic systems is proposed.
Based on the analysis of ε – entropy, information in continuous time linear multivariable stochastic systems is discussed.
In this paper, a new model-free control strategy for general nonlinear and non-Gaussian multivariable stochastic systems has been proposed.
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In this paper, the problem of fault-tolerant control (FTC) is investigated for a class of multivariable stochastic nonlinear systems in the strict-feedback form.
By minimizing the performance index mainly consists of SIP, a new model-free control algorithm is obtained for the considered multivariable nonlinear and non-Gaussian stochastic systems.
Forthcomming in Stochastic Systems.
Osborne, A.R. & Provenzale, A. Finite correlation dimension for stochastic systems with power-law spectra.
Siegert, S., Friedrich, R. & Peinke, J. Analysis of data sets of stochastic systems.
Inspiration came via his stochastic systems class.
Stochastic systems can be modelled using discrete Markov processes.
The physical meaning of (21) is that the fuzzy stochastic system interpolates L local linear stochastic systems through nonlinear basis μ k (z i ) to approximate the nonlinear stochastic system in (13).
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