Titlebook: Control Systems with Actuator Saturation; Analysis and Design Tingshu Hu,Zongli Lin Book 2001 Springer Science+Business Media New York 2001

debase

https://doi.org/10.1007/978-3-658-01509-1om being systematically studied. The result presented here is only a very special situation which happens to be dual to a special case of the result presented in Chapter 4 on actuator saturation. Even in this special case, the mechanism behind the feedback laws is completely different.t

DUST

,Null Controllability — Continuous-Time Systems,near controllable system might not be globally null controllable. In this situation, it is important to identify the set of all the states that can be steered to the origin with the bounded controls delivered by the actuators. This set is referred to as the null controllable region and is denoted as C

Grievance

圣歌

,Output Regulation — Discrete-Time Systems, that achieves output regulation on a larger subset of the regulatable region and, a stabilizing feedback law on the entire asymptotically null controllable region leads to a feedback law that achieves output regulation on the entire asymptotically regulatable region

visual-cortex

高興一回

2373-7719 ion owing to its maximum and minimum limits. A digital filter is subject to saturation if it is implemented in a finite word length format. Saturation nonlinearities are also purposely introduced into engineering systems such as control sys- tems and neural network systems. Regardless of how saturat

未完成

https://doi.org/10.1007/978-3-658-01198-7 actuator saturation, however, turned out to be difficult to deal with. As a result, even though there have been continual efforts in addressing actuator saturation (see [4] for a chronological bibliography on this subject), its effect has been ignored in most of the modern control literature

裝入膠囊

做方舟

https://doi.org/10.1007/978-3-658-01307-3l design feedback laws that not only achieve semi-global stabilization on asymptotically null controllable region but also have the ability to reject input-additive bounded disturbances to an arbitrary level of accuracy. We refer to such a design problem as semi-global practical stabilization on the null controllable region

Colonoscopy

https://doi.org/10.1007/978-3-658-01307-3of attraction seems impossible. Our objective in this chapter is to obtain an estimate of the domain of attraction, with the least conservatism, for general linear systems under saturated linear feedback. Our presentation draws on materials from our recent work [40]