Title : 
Robust invariant set theory applied to networked buffer-level control
         
        
            Author : 
Borrelli, Francesco ; Vecchio, Carmen Del ; Parisio, Alessandra
         
        
            Author_Institution : 
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
         
        
        
        
        
        
            Abstract : 
A manufacturer producing several items keeps them into safety stocks (buffers) in order to supply an external stochastic demand without interruptions. We consider the classical problem of determining stock levels guaranteeing that a stochastic bounded demand is always satisfied. A simple n-th integrator model with additive disturbances is employed. Invariant set theory for linear and switched linear systems is used to compute robust positive invariant sets and controlled robust invariant sets for two commonly used scheduling policies. This paper provides the explicit expression of the invariant sets for any arbitrary n.
         
        
            Keywords : 
linear systems; robust control; set theory; controlled robust invariant sets; external stochastic demand; networked buffer-level control; robust invariant set theory; robust positive invariant sets; safety stocks; scheduling policy; stochastic bounded demand; stock levels; switched linear systems; Additives; Control systems; Job shop scheduling; Manufacturing; Optimal scheduling; Production; Robust control; Safety; Set theory; Stochastic processes;
         
        
        
        
            Conference_Titel : 
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
         
        
            Conference_Location : 
Cancun
         
        
        
            Print_ISBN : 
978-1-4244-3123-6
         
        
            Electronic_ISBN : 
0191-2216
         
        
        
            DOI : 
10.1109/CDC.2008.4739079