Title :
Stability and controllability of a class of 2-D linear systems with dynamic boundary conditions
Author :
Rogers, E. ; Galkowski, K. ; Gramacki, A. ; Gramacki, J. ; Owens, D.H.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
fDate :
2/1/2002 12:00:00 AM
Abstract :
Discrete linear repetitive processes are a distinct class of two-dimensional (2-D) linear systems with applications in areas ranging from long-wall coal cutting through to iterative learning control schemes. The feature which makes them distinct from other classes of 2-D linear systems is that information propagation in one of the two independent directions only occurs over a finite duration. This, in turn, means that a distinct systems theory must be developed for them. In this paper a complete characterization of stability and so-called pass controllability (and several resulting features), essential building blocks for a rigorous systems theory, under a general set of initial, or boundary, conditions is developed. Finally, some significant new results on the problem of stabilization by choice of the pass state initial vector sequence are developed
Keywords :
asymptotic stability; boundary-value problems; controllability; discrete systems; linear systems; stability criteria; state-space methods; transfer function matrices; Banach space; discrete linear repetitive processes; dynamic boundary conditions; finite duration; information propagation; iterative learning control schemes; linear repetitive process; long-wall coal cutting; pass controllability; pass state initial vector sequence; stability; state-space model; transfer function matrix; two-dimensional linear systems; Algorithm design and analysis; Boundary conditions; Control systems; Controllability; Electrical equipment industry; Iterative algorithms; Linear systems; Optimal control; Stability; Two dimensional displays;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on