This paper presents the design of an indirect adaptive feedback linearization (FBL)based control using dynamic neural networks (DNN) for full-car nonlinear electrohydraulic suspensions. Particle swarm optimization (PSO) algorithm is used in training the DNN to learn the dynamics of the system. A multi-loop, PSO-optimized proportional-integral-derivative (PID) control is implemented for the feed...

1- The effect of using indirect mental training accompanied by simultaneous (final) feedback according to random practice schedule in learning technical performance on the effectiveness discus throwing for second stage students College Physical Education and Sports Sciences.

Technical reports from the Automatic Control group in Linkk oping are available by anonymous ftp at the Abstract A new method for closed-loop identiication that allows tting the model to the data with arbitrary frequency weighting is described and analyzed. Just as the direct method this new method is applicable to systems with arbitrary feedback mechanisms. This is in sharp contrast with other...

The impressive precision of mammalian limb movements relies on internal feedback pathways that convey information about ongoing motor output to cerebellar circuits. The spino-cerebellar tracts (SCT) in the cervical, thoracic and lumbar spinal cord have long been considered canonical neural substrates for the conveyance of internal feedback signals. Here we consider the distinct features of an i...

In the language modeling approach, feedback is often modeled as estimating an improved query model or relevance model based on a set of feedback documents [3, 1]. This is in line with the traditional way of doing relevance feedback – presenting the user with documents or passages for relevance judgment and then extracting terms from the judged documents or passages to improve a query model. Suc...

1 Feedback is critical in both human and computer tutoring because it has directive, facilitative, and motivational functions. An understanding of the feedback strategies of expert human tutors is essential for ITSs that aspire to model such tutors. Although previous research suggests that expert tutors provide indirect and delayed feedback, methodological concerns limit the generalizability of...