this paper presents the application of the matching pursuit method to model synchronous generator. this method is useful for online analysis. in the proposed method, the field voltage is considered as input signal, while the terminal voltage and active power of the generator are output signals. usually, the difference equation with a second degree polynomial structure is used to estimate the co...

New algorithm for estimation of parameters of communication channel in the circumstances of existence of intensive impulse noise within measurement sequence is proposed in this paper. Proceeding from the theory of robust estimation, a simple, adaptive, practically applicable algorithm is derived that in the circumstances of contaminated normal distribution of measurement noise demonstrates high...

An approach to road parameter recognition in monocular image sequences under egomotion is described. Two stabilization mechanisms are integrated into the basic recursive estimation procedure: a short sequence averaging of individual measurements and a scalar filter for long-term stabilization. Besides the bottom-up measurements a second type of road measurements is provided synthetic measuremen...

Joint estimation of extinction and backscatter simulated profiles from elastic-backscatter lidar return signals is tackled by means of an extended Kalman filter (EKF). First, we introduced the issue from a theoretical point of view by using both an EKF formulation and an appropriate atmospheric stochastic model; second, it is tested through extensive simulation and under simplified conditions; ...

Interior Point Optimization techniques have recently emerged as a new tool for developing parameter estimation algorithms [1, 2]. These algorithms aim to take advantage of the fast convergence properties of interior point methods, to yield, in particular, fast transient performance. In this paper we develop a simple analytic center based algorithm, which updates estimates with a constant number...

This paper presents an adaptive feedback linearization approach to derive helicopter. Ideal feedback linearization is defined for the cases when the system model is known. Adaptive feedback linearization is employed to get asymptotically exact cancellation for the inherent uncertainty in the knowledge of the given parameters of system. The control algorithm is implemented using the feedback lin...

The paper considers the problem of distributed adaptive linear parameter estimation in multi-agent inference networks. Local sensing model information is only partially available at the agents and inter-agent communication is assumed to be unpredictable. The paper develops a generic mixed time-scale stochastic procedure consisting of simultaneous distributed learning and estimation, in which th...

Existing multiuser code division multiple access (CDMA) detectors either have to rely on strict power control or near-perfect parameter estimation for reliable operation. In this paper, a novel adaptive multiuser CDMA detector structure is introduced. Using either an extended Kalman lter (EKF) or a recursive least squares (RLS) formulation, adaptive algorithms which jointly estimate the transmi...

the control law (3) does not only improves the transient performance, but also provides smoother outputs. It is important to stress that a better performance can still be achieved with (28) and (30). However, as discussed in Remark IV.1, increasing gains would not only cause more peaks in the outputs, but it might also yield saturation, especially for 2. V. CONCLUSION The tracking control probl...

This paper presents an indirect adaptive robust control (IARC) of electro-hydraulic systems driven by singlerod hydraulic actuators. Unlike the tracking-performanceoriented direct adaptive robust control (DARC) algorithm, in addition to good output tracking performance, the IARC also focuses on accurate parameter estimates for secondary purposes such as machine health monitoring and prognostics...