Brief Robust multivariable PID control for linear parameter varying systems
Automatica (Journal of IFAC)
Brief On the design of multivariable PID controllers via LMI approach
Automatica (Journal of IFAC)
International Journal of Systems Science
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Adaptive statistic tracking control based on two-step neural networks with time delays
IEEE Transactions on Neural Networks
Recent advances on stochastic distribution control: probability density function control
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
International Journal of Systems, Control and Communications
International Journal of Systems, Control and Communications
Statistic tracking control: a multi-objective optimization algorithm
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
An entropy approach to filtering for networked control systems
International Journal of Computer Applications in Technology
Hi-index | 22.14 |
A new control approach is proposed for the probability density function (PDF) control of non-Gaussian stochastic systems using PI controllers. Using the square root output PDF model and the weight dynamics, the PDF tracking is transformed to a constrained dynamical tracking control problem for weight dynamics, where LMI techniques are used to design a generalized PI controller such that stability, state constraints and tracking performances can be guaranteed simultaneously.