Title :
Robust H2/LQG control for systems with finite-signal-to-noise uncertainty: a convergent algorithm
Author :
Lu, Jianbo ; Skelton, Robert E.
Author_Institution :
Structural Syst. & Control Lab., Purdue Univ., West Lafayette, IN, USA
Abstract :
Finite-signal-to-noise ratio phenomenon is very common in electromechanical systems, digital implementation, instrumentation and controlled systems. In this paper, the robust H2/LQG control problem for this finite-signal-to-noise model is studied. An iterative but convergent algorithm is proposed
Keywords :
H∞ control; convergence; iterative methods; linear quadratic Gaussian control; robust control; uncertain systems; controlled systems; convergent algorithm; digital implementation; electromechanical systems; finite S/NR uncertainty; finite-signal-to-noise uncertainty; instrumentation; iterative algorithm; robust H2/LQG control; Control systems; Iterative algorithms; Optimal control; Robust control; Robust stability; Signal to noise ratio; Steady-state; Stochastic processes; Uncertainty; White noise;
Conference_Titel :
American Control Conference, 1997. Proceedings of the 1997
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3832-4
DOI :
10.1109/ACC.1997.612120
