FLEXIBLE NETWORK TRANSCEIVER NEXT GENERATION TELEMETRY NETWORKING
KeywordsTelemetry Network Transceiver
Flexible Network Transceiver
Flexible Physical Layer
Flexible Telemetry Receiver
Flexible Network Processor
Flexible Phased Array Antenna
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RightsCopyright © International Foundation for Telemetering
Collection InformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
AbstractThis paper describes the Flexible Telemetry Transceiver (FNT)-a modular, scalable, standards-based, software configurable, microwave wireless telemetry network transceiver. The FNT enables flexible, high-rate, long-range, duplex, network services across multipoint to multipoint wireless channel.
SponsorsInternational Foundation for Telemetering
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Payload adaptive control of a flexible manipulator using neural networksAskew, Craig Steven, 1967- (The University of Arizona., 1992)Flexible manipulators provide significant advantages over the commonly-used rigid robots due to their lightweight properties, but an accurate control of these manipulators is more difficult to attain, and it is especially demanding in task executions involving changing payloads. This thesis addresses the problem of payload adaptive control of flexible manipulators. The nonlinear model describing the manipulator dynamics is completely derived and is then used for an accurate computer simulation of the flexible manipulator motions. Payload identification is implemented by using a novel neural network approach to identify distinct payload classes from tip deflection patterns which result from different payloads. The identification procedure is then used to select a controller which best meets the control objectives specifying hub speed and maximum tip deflection. Two distinct controller synthesis procedures, one using a pole-placement design and one employing a variable structure technique, are developed. The merits of payload adaptive control are shown by several simulation experiments.
Optimization schemes for queueing networks with applications to flexible manufacturing systems.Krisht, Ali Hussein (The University of Arizona., 1990)Product-form queueing networks have been useful for modeling complex systems such as flexible manufacturing systems and computer systems. While the literature is rich with queueing models, little attention has been paid to the use of these models in optimization schemes. This dissertation addresses the optimal design of complex systems in conjunction with closed queueing network theory. The overall plan is as follows: Product-form queueing network models are used to evaluate system "performance measures" for a given setting of system "decision parameters". The performance measures are useful in the computation of system cost functions and/or their sensitivities with respect to decision parameters. Optimization algorithms are applied in order to find the set of decision parameter values which optimize performance measures and/or minimize the cost of the system. Typical performance measures are the throughput (production rate) and average queue lengths at individual nodes of the system. Sensitivities of performance measures with respect to the decision parameters are derived in closed-form. These sensitivities are used to study the concavity (convexity) properties of performance measures. Both the concavity properties and the sensitivities of performance measures are then utilized in the formulation and solution procedures of the optimization models. Decision variables for the design and operation of queueing systems include service rates, routing of jobs, number of servers, and level of work-in-process. Models with a single decision variable type, such as service rates, are considered first. Hybrid models which include several types of decision variables such as service rates and work-in-process levels are then addressed. Constraints include meeting production goals, capital budgeting, and bounds on decision variables. The optimization models are discussed and solved to optimality. Numerical examples are provided and results are analysed.
Flexible Switching for Flight Test NetworksCollins, Diarmuid; Curtiss-Wright Corporation (International Foundation for Telemetering, 2015-10)The network switch is a critical element in the flight test network. All devices in the network are configured, synchronised and managed via the switch. In addition to this all acquired data is routed through the switch. For these reasons, the flight test network switch has always needed to be rugged and reliable with high throughput and simple intuitive setup. Ethernet technology and the move towards open standards within FTI systems have enabled flight test networks to become increasingly flexible and heterogeneous. Modern FTI networks may have different synchronisation and data transmission protocols running simultaneously. It is also important to quickly switch network configurations for different flight profiles and to enable new features to be easily added to existing installations. This paper examines the increasing network interoperability and flexibility challenges and discusses how the network switch is best placed to provide solutions.