The Kalman filter requires knowledge of the noise statistics; however, the noise covariances
are generally unknown. Although this problem has a long history, reliable algorithms for their …

The paper describes and evaluates application of output-only system identification to an
eleven-span post-tensioned concrete bridge using hybrid excitation. A linear chirp sweeping …

Multi Actuator Technology in Hard Disk drives (HDDs) equips drives with two dual stage
actuators (DSA) each comprising of a voice coil motor (VCM) actuator and a piezoelectric …

Output-only identification methods have been developed on a stochastic framework, but for
the first time, a subspace-based approach is proposed without using geometric and …

Strictly Positive Real (SPR) transfer functions arise in many areas of engineering like
passivity theory in circuit analysis and adaptive control to name a few. In many physical …

Abstract The use of Machine Learning (ML) and optimization for control applications in
enhancing performance, replicating expert behaviors, and addressing other complex …

This paper proposes a methodology for iterative learning of multi-input multi-output (MIMO)
fuzzy models focusing on dynamic system identification. The first step of the proposed …

The observer/Kalman filter identification (OKID) is an algorithm widely used for the
identification of state space models. The standard OKID algorithm involves the estimation of …

To prevent the frequent occurrence of transmission line galloping accidents, many scholars
have carried out studies. However, there are still many difficulties that have not been solved …

The sulfur dioxide blower refers to a centrifugal blower that transports various gases in the
sulfuric acid production process from flue gases. Accurately predicting the outlet pressure of …