Titlebook: Deterministic and Stochastic Time-Delay Systems; El-Kébir Boukas,Zi-Kuan Liu Book 2002 Springer Science+Business Media New York 2002 Marko

bioavailability

https://doi.org/10.1007/978-1-4612-0077-2Markov; Markov process; algorithm; control engineering; dynamical systems; filtering problem; stochastics

Arboreal

978-1-4612-6602-0Springer Science+Business Media New York 2002

激励

backdrop

,Robust ‘H∞Control, Filtering, and Guaranteed Cost Control,ign phase. Therefore, the problems we studied in the previous chapter should be extended to cope with system uncertainties. Here we will consider norm-bounded uncertainties and deal with the robust H.control problem and the robust H.-filtering problem.

boisterous

Stochastic Time Delay Systems, linear systems (MJLS) is an example of this class of dynamical systems, and it represents an important class of stochastic dynamical systems which, in several situations, is most appropriate for modeling the above phenomenon.

凶兆

破裂

Deterministic Time Delay Systems,. It also deals with the robustness of stability and stabilizability when uncertainties are assumed to be of the norm-bounded type. Memoryless and memory state feedback controllers and output feedback controllers are used to stabilize dynamical time delay systems and to ensure the desired performance.

Keratin

Spinous-Process

2373-7719 heir con­ trol in general a hard problem. Currently, there is no successful design method for this class of systems in the literature. One common alterna­ tive consists of linearizing the nonlinear dynamical stochastic system in the neighborhood of an operating point and then using the techniques fo

能量守恒