Modern signals and systems
Polynomial Methods for Control Systems Design
Polynomial Methods for Control Systems Design
Industrial Control System Design
Industrial Control System Design
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
A game theory approach to constrained minimax state estimation
IEEE Transactions on Signal Processing
Non-linear generalized minimum variance feedback, feedforward and tracking control
Automatica (Journal of IFAC)
| Hi-index | 35.68 |
A nonlinear operator approach to estimation in discrete-time systems is described. It involves inferential estimation of a signal which enters a communications channel involving both nonlinearities and transport delays. The measurements are assumed to be corrupted by a colored noise signal which is correlated with the signal to be estimated. The system model may also include a communications channel involving either static or dynamic nonlinearities. The signal channel is represented in a very general nonlinear operator form. The algorithm is relatively simple to derive and to implement.