... control (SMC) demonstrate robustness with regard to uncertainties, although their performance can be severely degraded by noise. As such they can benefit from using state estimates obtained from filters. In this regard, this paper considers the use of a recently proposed robust state and parameter...

... closed loop systems delays robust control state estimation uncertain systems uncertainty and disturbance estimator (UDE) time-delay systems uncertainty robust control time-delay control A preliminary version of this paper was presented at the Sixth IFAC Symposium on Robust Control...

.... The present work details the development of a centralized linear quadratic regulator (LQR) including state estimation via Kalman filtering. The controller is augmented by local turbine speed control and integral system power control. Relative gain array analysis has indicated that independent control loops...

.... This paper provides the conditions that the POD can be valid, and be an interpretation of its underlying structure. 18 03 2008 04 02 2009 20 05 2009 control system analysis decision making Markov processes optimal control predictive control state estimation New...

... 03 2008 29 07 2008 Gaussian processes Kalman filters Markov processes reduced order systems seals (stoppers) stators mechanical gas face seal state estimation POD reduced-order Kalman filter Noncontacting mechanical gas face seals are often used in high speed, high...

... of the state estimator are provided; these conditions are expressed in terms of linear matrix inequalities (LMIs), and the parametrization of all admissible solutions is provided. Finally, a LMI-based estimator design is formulated, and the performance of the estimator is examined by means of numerical...

...Won-jong Kim; Kun Ji; Ajit Ambike A novel model-predictive-control strategy with a timeout scheme and p -step-ahead state estimation is presented in this paper to overcome the adverse influences of stochastic time delays and packet losses encountered in network-based distributed real-time control...

...Saeid Habibi In this paper, a new method for state estimation, referred to as the variable structure filter (VSF), is briefly reviewed. The VSF method is model based and has been formulated for its application to linear systems. It provides a means of explicitly defining the level of uncertainty...

...S. R. Habibi; R. Burton This paper presents a new strategy for state estimation. The strategy may be applied to linear systems and is referred to as the variable structure filter. The filter is considered for discrete-time systems subject to random disturbances and measurement noise. It requires...

...Hosam E. Emara-Shabaik State estimation of linear systems under the influence of both unknown deterministic inputs as well as Gaussian noise is considered. A Kalman like filter is developed which does not require the estimation of the unknown inputs as is customarily practiced. Therefore...

... in 4 . state estimation observability process control filtering theory polynomials Gaussian noise 01 October 2000 01 September 2002 10 03 2003 Contributed by the Dynamic Systems and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication...

... studies, the EKF converges but it results in higher state estimation errors than the equivalent neural filter with on-line learning. For another, more complex case study, the developed EKF does not converge. For both case studies, the off-line trained neural state filters converge quite rapidly...