Titlebook: Bounded Dynamic Stochastic Systems; Modelling and Contro Hong Wang Book 2000 Springer-Verlag London 2000 Control Engineering.Control Theory

雀斑

https://doi.org/10.1007/978-3-540-93830-9pose, the model representation will be discussed first. Since B-splines artificial neural networks are used to represent the coupled links between control input variables and the considered probability density functions, in the next section fundamental aspects on B-splines neural networks will be given.

BRINK

https://doi.org/10.1007/978-3-540-93830-9 B-spline functions are used to approximate the output probability density function of the stochastic system. As such, a control algorithm for MIMO stochastic systems should be formulated. This forms the main part of this chapter, where robust control algorithms will be described together with closed loop stability analysis.

Aspiration

流浪者

Control of Mimo Stochastic Systems: Robustness and Stability, B-spline functions are used to approximate the output probability density function of the stochastic system. As such, a control algorithm for MIMO stochastic systems should be formulated. This forms the main part of this chapter, where robust control algorithms will be described together with closed loop stability analysis.

stratum-corneum

cuticle

receptors

Brian A. Kuhn,Joel Hlavaty,Sashi Kilaruance of the output probability density function with respect to a given density function. Although the control algorithm obtained can minimise the performance function, it cannot always guarantee the perfect tracking of the output probability density function with respect to the given distribution.

Terrace

拋物線

Realization of Perfect Tracking,ance of the output probability density function with respect to a given density function. Although the control algorithm obtained can minimise the performance function, it cannot always guarantee the perfect tracking of the output probability density function with respect to the given distribution.

歌唱隊(duì)