Title :
Intrinsic difficulties in stochastic control of unstable convolution operators on Z
Author_Institution :
Autom. & Control Inst., Tampere Univ. of Technol., Finland
Abstract :
Stochastic control of causal, linear, unstable convolution operators on the full-time axis is shown to be impossible. The basic plant y = Gu and controller descriptions u = -Cy via possibly unstable convolution operators (or via their unstable transforms) have been shown to possess severe limitations in stochastic control studies on the full time axis Z and on Z(T). In fact, they have also similar limitations on N when G (or C) is noncausal and unstable (such situations can appear in applications in which the independent variable is a spatial variable rather than time).
Keywords :
control system analysis; convolution; input-output stability; mathematical operators; stochastic systems; causal linear unstable convolution operators; full-time axis; input-output stabilization; stochastic control; unstable convolution operators; unstable transforms; Attitude control; Calibration; Convolution; Error correction; Gyroscopes; Nonlinear systems; Proportional control; Space vehicles; Steady-state; Stochastic processes;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.819290