DocumentCode :
2107780
Title :
Variable structure-based nonlinear congestion control for networked controlled systems
Author :
Bouyoucef, K. ; Khorasani, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
fYear :
2005
fDate :
24-26 Aug. 2005
Firstpage :
583
Lastpage :
586
Abstract :
This paper presents a new robust dynamic congestion control for a network of control systems. Due to an intensive flow of information/data between sensors, decision makers and actuators in the network, synchronization and planning of information/data arrivals, departures, updates and optimal resource allocations take on a significant degree of importance. Sliding mode based variable structure techniques provide robust solutions for complex, nonlinear and strongly coupled control problems and are well-known for their rich analysis and design methodologies. Among the number of possible variable structure algorithms, the proposed controller in this paper is based on the Fliess´s approach known as the generalized variable structure (GVS). Introduced recently, this new variable structure approach is designed in the context of differential algebra. Containing principally the derivative of the input, the new observable canonical form is used for design of the controller. Thereby facilitating the main benefit of this algorithm as far as reducing the correspondingly known chattering phenomena that is the main drawback in standard variable structure control (VSC) techniques.
Keywords :
controllers; nonlinear control systems; nonlinear dynamical systems; resource allocation; robust control; telecommunication congestion control; telecommunication network planning; variable structure systems; Fliess approach; controller design; network planning; networked controlled system; nonlinear dynamic congestion control; observable canonical form; optimal resource allocation; robust control; sliding mode; variable structure technique; Actuators; Algebra; Control systems; Coupled mode analysis; Couplings; Design methodology; Nonlinear control systems; Resource management; Robust control; Sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Physics and Control, 2005. Proceedings. 2005 International Conference
Print_ISBN :
0-7803-9235-3
Type :
conf
DOI :
10.1109/PHYCON.2005.1514050
Filename :
1514050
Link To Document :
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