Title :
Distributed control for distributed linear parameter varying systems
Author_Institution :
Dept. of Mech. & Aerosp. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
Considers stability analysis and performance control for distributed systems with time and spatial varying parameters. The distributed linear parameter-varying (LPV) system depends on the parameters in linear fractional transformation form. The parameters are assumed measurable in real-time for controller use. By adopting and preserving the spatial structure of the plant, the controller will have localized architecture, which can be implemented using parallel processors. Using full block multipliers, the stability property of the distributed parameter varying systems is guaranteed, by a structured Lyapunov function. Moreover, it is shown that the distributed LPV control algorithm can be determined through convex optimization as linear matrix inequalities
Keywords :
Lyapunov methods; distributed control; distributed parameter systems; linear systems; matrix algebra; convex optimization; distributed control; distributed linear parameter varying systems; full block multipliers; linear fractional transformation form; linear matrix inequalities; localized architecture; parallel processors; performance control; spatial structure; stability analysis; stability property; structured Lyapunov function; Aerospace control; Aerospace engineering; Aerospace industry; Control design; Control systems; Distributed control; Job shop scheduling; Lyapunov method; Sensor arrays; Stability analysis;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.946128