Title :
Optimal Control of Complex Distributed Systems: A New Generalized Particle Model
Author :
Shuai, Dianxun ; Zhang, Ping ; Liu, Yuzhe
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Tech., Shanghai
Abstract :
The optimal control of complex distributed systems is of great significance and of extreme difficulty. This paper presents a novel generalized particle model (GPM) to optimally control the resource allocation and task assignment in complex distributed systems. The GPM approach transforms the optimal control process of complex distributed systems into the kinematics and dynamics of massive particles in a force-field. The conception, dynamics, algorithm and properties of GPM are discussed. The GPM approach has many advantages in terms of the high-scale parallelism, multi-objective optimization, multi-type coordination, multi-degree autonomy, multi-granularity coalition, and the ability to deal complex phenomena in systems
Keywords :
asynchronous transfer mode; large-scale systems; optimal control; optimisation; resource allocation; telecommunication congestion control; complex distributed systems; dynamics; generalized particle model; high-scale parallelism; kinematics; massive particles; multidegree autonomy; multigranularity coalition; multiobjective optimization; multitype coordination; optimal control; resource allocation; task assignment; Aggregates; Collaboration; Control systems; Distributed control; Force control; Kinematics; Large-scale systems; Optimal control; Problem-solving; Resource management;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295589
