Minimax recursive state estimation for linear discrete-time descriptor systems
AbstractThis paper describes an approach to the online state estimation of systems described by a general class of linear noncausal time-varying difference descriptor equations subject to uncertainties. An approach is based on the notions of a linear minimax estimation and an index of causality introduced here for singular difference equations. The online minimax observer is derived by the application of the dynamical programming and Moore's pseudoinverse theory to the minimax estimation problem.
Methods of system analysis and control in conditions of risk and uncertainty