Hong Wang

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This paper presents a pseudo proportional-integral-derivative (PID) tracking control strategy for general non-Gaussian stochastic systems based on a linear B-spline model for the output probability density functions (PDFs). The objective is to control the conditional PDFs of the system output to follow a given target function. Different from existing(More)
— In this paper, a minimum entropy filtering algorithm is presented for a class of multivariate dynamic stochastic systems. The concerned systems are represented by a set of time-varying difference equations with multiple non-Gaussian stochastic inputs, and with nonlinearity in the measurement output. Several new concepts including hybrid random vectors,(More)
In this paper, a minimum entropy control approach for closed-loop tracking error is studied for linear dynamic control systems subjected to stochastic disturbances. The basic idea is to construct a feedback control scheme with the guaranteed closed loop stability using the Youla parameterization that provides a set of free parameters embedded in the(More)
This paper presents a new type of control framework for dynamical stochastic systems, called statistic tracking control (STC). The system considered is general and non-Gaussian and the tracking objective is the statistical information of a given target probability density function (pdf), rather than a deterministic signal. The control aims at making the(More)