Implementation Of Hybrid Research Articles

Two models of concurrent objects

Two models of concurrent objects

On the implementation of adaptive electronic hybrid for digital subscriber loops

An adaptive electronic hybrid is proposed to replace the conventional fixed hybrid in a digital subscriber loop and thus reduce the burden on the echo canceller. The theory of the adaptive hybrid is briefly reviewed. A simple method of hardware implementation is described in which the poles of the echo path transfer function are assumed to be constant. A three-residue adaptive electronic hybrid is realized by linear integrated circuits and shown experimentally to achieve at least 26-dB transhybrid loss.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

On the Implementation of an Adaptive Hybrid Position/Force Control for Manipulators

Hybrid position/force control is an effective tool for carrying out a task whose geometry constrains the position of a manipulator. This paper presents a task-oriented architecture for hybrid control, taking into consideration the complexity of the manipulator dynamics and uncertainties in the external constraints. For this purpose an adaptive pole assignment self-tuning algorithm was adopted based upon six independent decoupled ARMA models which represent position and force dynamics of manipulators in the task-oriented coordinate frame. To complete the control architecture, a control input transformation algorithm and an output synthesizing algorithm were developed in the task-oriented frame. These algorithms were designed to be easily transformable between coordinate frames in order to be applicable to a variety of tasks. To demonstrate the validity of the architecture, three example tasks were simulated using a manipulator whose kinematic and dynamic characteristics are analogous to those of a Puma 560 industrial robot.

Implementation of an Adaptive Balancing Hybrid

Two implementations of an adaptive balancing hybrid are described. The first is predominly analog, in which the adaptation parameter θ is a continuous analog quantity, while the second is predominly digital, in which θ has a two-bit representation. Experimental results are reported.

Micro and macro analysis of sleep data using hybrid and digital computers

This paper deals with the micro and macro analysis of human sleep EEG data. The micro analysis is carried out by a special-purpose hybrid computer interfaced to a modern minicomputer to extract sleep staging and other quantitative data from EEG recordings. The macro analysis is carried out on a large digital computer by an information storage and retrieval system which provides two levels of data analysis: analysis at experimental level and analysis at data base level. The analysis techniques and implementation of hybrid and digital systems are described. This paper presents a system approach to the treatment of sleep EEG data, and demonstrates the application of both hardware and software technologies to sleep research.