General quadratic performance analysis and synthesis of dae systems

2001 ◽  
Vol 34 (25) ◽  
pp. 137-142
Author(s):  
A. Rehm ◽  
F. Allgöwer
Author(s):  
Bala Kameshwar Poolla ◽  
John W. Simpson-Porco ◽  
Nima Monshizadeh ◽  
Florian Dorfler

1996 ◽  
Author(s):  
Bradly J. Cooke ◽  
Bryan E. Laubscher ◽  
Christoph C. Borel ◽  
Terrence S. Lomheim ◽  
Christopher F. Klein

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Jidong Wang ◽  
Kezhen Han

The event-triggered energy-to-peak filtering for polytopic discrete-time linear systems is studied with the consideration of lossy network and quantization error. Because of the communication imperfections from the packet dropout of lossy link, the event-triggered condition used to determine the data release instant at the event generator (EG) can not be directly applied to update the filter input at the zero order holder (ZOH) when performing filter performance analysis and synthesis. In order to balance such nonuniform time series between the triggered instant of EG and the updated instant of ZOH, two event-triggered conditions are defined, respectively, whereafter a worst-case bound on the number of consecutive packet losses of the transmitted data from EG is given, which marginally guarantees the effectiveness of the filter that will be designed based on the event-triggered updating condition of ZOH. Then, the filter performance analysis conditions are obtained under the assumption that the maximum number of packet losses is allowable for the worst-case bound. In what follows, a two-stage LMI-based alternative optimization approach is proposed to separately design the filter, which reduces the conservatism of the traditional linearization method of filter analysis conditions. Subsequently a codesign algorithm is developed to determine the communication and filter parameters simultaneously. Finally, an illustrative example is provided to verify the validity of the obtained results.


2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Derui Ding ◽  
Zidong Wang ◽  
Hongli Dong ◽  
Yurong Liu ◽  
Bashir Ahmad

Nowadays, the real-world systems are usually subject to various complexities such as parameter uncertainties, time-delays, and nonlinear disturbances. For networked systems, especially large-scale systems such as multiagent systems and systems over sensor networks, the complexities are inevitably enhanced in terms of their degrees or intensities because of the usage of the communication networks. Therefore, it would be interesting to (1) examine how this kind of network-enhanced complexities affects the control or filtering performance; and (2) develop some suitable approaches for controller/filter design problems. In this paper, we aim to survey some recent advances on the performance analysis and synthesis with three sorts of fashionable network-enhanced complexities, namely, fading measurements, event-triggered mechanisms, and attack behaviors of adversaries. First, these three kinds of complexities are introduced in detail according to their engineering backgrounds, dynamical characteristic, and modelling techniques. Then, the developments of the performance analysis and synthesis issues for various networked systems are systematically reviewed. Furthermore, some challenges are illustrated by using a thorough literature review and some possible future research directions are highlighted.


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