The problem of the robust D-stability analysis for linear systems with parametric uncertainties is addressed. For matrix polytopes, new conditions via the affine parameter-dependent Lyapunov function of uncertain syst...The problem of the robust D-stability analysis for linear systems with parametric uncertainties is addressed. For matrix polytopes, new conditions via the affine parameter-dependent Lyapunov function of uncertain systems are developed with the benefit of the scalar multi-convex function. To be convenient for applications, such conditions are simplified into new linear matrix inequality （LMI） conditions, which can be solved by the powerful LMI toolbox. Numerical examples are provided to indicate that this new approach is less conservative than previous results for Hurwitz stability, Schur stability and D-stability of uncertain systems under certain circumstances.展开更多
Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It＇s significant for those control instances consisted in production and people＇s daily life. But, how to control a s...Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It＇s significant for those control instances consisted in production and people＇s daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation; its efficiency will be indicated by an example.展开更多
基金supported by the National Natural Science Foundation of China (6090405161021002)
文摘The problem of the robust D-stability analysis for linear systems with parametric uncertainties is addressed. For matrix polytopes, new conditions via the affine parameter-dependent Lyapunov function of uncertain systems are developed with the benefit of the scalar multi-convex function. To be convenient for applications, such conditions are simplified into new linear matrix inequality （LMI） conditions, which can be solved by the powerful LMI toolbox. Numerical examples are provided to indicate that this new approach is less conservative than previous results for Hurwitz stability, Schur stability and D-stability of uncertain systems under certain circumstances.
文摘Automation of skill fuzzy control system is an important research aspect of fuzzy control fields. It＇s significant for those control instances consisted in production and people＇s daily life. But, how to control a system not movement or behavior rules but only relied on movement parameters, that problem still had not be resolved. This paper proposes a new method used a genetic algorithm based on immune mechanism to learn the degree of membership, at same time, simplifying the corresponding movement equation; its efficiency will be indicated by an example.
