Title :
Min-max control of uncertain multi-inventory systems with multiplicative uncertainties
Author :
Blanchini, Franco ; Pesenti, Raffaele
Author_Institution :
Dipartimento di Matematica e Inf., Udine Univ., Italy
fDate :
6/1/2001 12:00:00 AM
Abstract :
In this note, we consider production-distribution systems with buffer and capacity constraints. For such systems, we assume that the model is not known exactly. More precisely, the entries of the matrix representing the system structure may be affine functions of some uncertain time-varying parameters that take values within assigned bounds. We give stabilizability conditions that can be checked, in principle, by solving a min-max problem on the surface of the state-space (buffer level space) unit ball. Then, we consider a special case in which each uncertain parameter affects a single column of the system matrix and is independent of all the other ones. In this case, we propose a mixed integer linear programming algorithm to check the stabilizability conditions and we provide a stabilizing control in an explicit form
Keywords :
integer programming; linear programming; matrix algebra; minimax techniques; production control; stability criteria; stock control; time-varying systems; uncertain systems; LP; affine functions; buffer constraints; buffer level space unit ball; capacity constraints; min-max control; mixed integer linear programming algorithm; multiplicative uncertainties; production-distribution systems; stabilizability conditions; state-space unit ball; system structure matrix; uncertain multi-inventory systems; uncertain time-varying parameters; Additives; Communication system control; Control systems; Lyapunov method; Mixed integer linear programming; Production; Stochastic processes; Time varying systems; Uncertain systems; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on