This proposal is a first pass at adding what is required in 08-015r3 for the phy and link layer state diagrams to include the low power transceiver options of partial and slumber modes for SAS. 1) The following are the proposed changes to the SP state machine. 6.8.1 SP state machine overview The SP state machine controls the phy reset sequence. This state machine consists of three four sets of ...

Accurate modeling of the wind energy conversion system is necessary to design and implementation of the control loop for the generator and the frequency converter, in order to extract maximum power from the wind and to investigate the effects of interconnection between wind farms and power system. In this paper the combination of a permanent magnet synchronous generator loaded with a diode rect...

Although recurrent neural nets have been moderately successful in learning to emulate nite-state machines (FSMs), the continuous internal state dynamics of a neural net are not well matched to the discrete behavior of an FSM. We describe an architecture, called DOLCE, that allows discrete states to evolve in a net as learning progresses. dolce consists of a standard recurrent neural net trained...

State Machine Semantics of SDL Uwe Glasser (Heinz Nixdorf Institut Universitat-GH Paderborn, Germany [email protected]) Ren e Karges (metronet GmbH Koln, Germany [email protected]) Abstract: Based on the ITU-T Recommendation Z.100 [27]|also known as SDL-92| we de ne a formal semantic model of the dynamic properties of Basic SDL in terms of an abstract SDL machine. More precisel...

The DOVE tool supports high-level system modelling and design, and formal reasoning about critical properties. DOVE uses state-machine graphs to illustrate designs, thus building on a familiar and effective means of communicating system designs to a wide audience. DOVE employs a propositional temporal logic to express desirable behavioural properties of the design, and presents it in a sequent ...

Finite State Machines (FSM) are a fundamental building block in computer architecture, and are used to control and optimize all types of prediction and speculation, now even in the embedded space. They are used for branch prediction, cache replacement policies, and confidence estimation and accuracy counters for a variety of optimizations. In this paper, we present a framework for automated des...

State-machine replication is a popular approach to building fault-tolerant systems, which relies on the sequential execution of commands to guarantee strong consistency. Sequential execution, however, threatens performance. Recently, several proposals have suggested parallelizing the execution model of the replicas to enhance state-machine replication’s performance. Despite their success in acc...

Slicing is a technique, traditionally applied to programs, for extracting the parts of a program that affect the values computed at a statement of interest. In recent years authors have begun to consider slicing at the model level. We present a detailed review of existing work on slicing at the level of finite state machine-based models. We focus on state based modelling notations because these...