The optimal projection equations for reduced-order state estimation
نویسندگان
چکیده
منابع مشابه
Robust, reduced-order, nonstrictly proper state estimation via the optimal projection equations with Petersen-Hollot bounds
A state-estimation design problem involving parametric plant uncertainties is considered. An error bound suggested by recent work of Petersen and Hollot is utilized for guaranteeing robust estimation. Necessary conditions which generalize the optimal projection equations for reduced-order state estimation are used to characterize the estimator which minimizes the error bound. The design equatio...
متن کاملHomotopy methods for solving the optimal projection equations for the H2 reduced order model problem
International Journal of Control Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713393989 Homotopy methods for solving the optimal projection equations for the H2 reduced order model problem Dragan Žigić a; Layne T. Watson a; Emmanuel G. Collins Jr. b; Dennis S. Bernstein b a Department of Computer Science, V...
متن کاملThe Optimal Projection Equations for Fixed - Order Dynamic Compensation
First-order necessary conditions for quadratically optimal, steady-state, fixed-order dynamic compensation of a linear, time-invariant plant in the presence of disturbance and observation noise are derived in a new and highly simplified form. In contrast to the pair of matrix Riccati equations for the full-order LQG case, the optimal steady-state fixed-order dynamic compensator is characterized...
متن کاملState Estimation for Linear Parabolic Equations: Minimax Projection Method
In this paper we propose a state estimation approach for linear parabolic Partial Differential Equations (PDE) with uncertain parameters. It is based on an extension of the Galerkin projection method. The extended method models projection coefficients, representing the state of the PDE in some basis, by means of a Differential-Algebraic Equation (DAE). The original estimation problem for the PD...
متن کاملReduced-order State Estimation for Linear Time-varying Systems
We consider reduced-order and subspace state estimators for linear discrete-time systems with possibly time-varying dynamics. The reducedorder and subspace estimators are obtained using a finite-horizon minimization approach, and thus do not require the solution of algebraic Lyapunov or Riccati equations.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Automatic Control
سال: 1985
ISSN: 0018-9286,1558-2523
DOI: 10.1109/tac.1985.1104001