--%>

Problem on Model Checking

Part (a). Draw a state diagram for a car with the following state variables: D indicating whether the car is in drive; B indicating the brake pedal is depressed; G indicating the gas pedal is depressed; and M indicating whether the car is moving. (For example, the state DB¬G¬M says that the car is in drive, the brake pedal is down, the gas pedal is not down, and the car is not moving). Your state diagram should obey the following properties:

The start state is ¬D¬B¬G¬M.

  • To put the car in drive, the brake pedal must be down.
  • To push the gas pedal, the car must be in drive.
  • It is not possible to push both the gas and the brake at the same time.
  • Once the gas is down, the car will eventually move.
  • Once the car is moving, it is possible to stop the car by depressing the brake.

Part (b). For each of properties 1-4 listed in Part (a), write an LTL formula specifying the property, and make an informal argument why the property holds for your diagram.

Part (c). Is it possible to specify property 5 using an LTL formula? Justify your answer.

   Related Questions in Basic Statistics

  • Q : Principles of data analysis For the

    For the data analysis project, you will address some questions that interest you with the statistical methodology we are learning in class. You choose the questions; you decide how to collect data; you do the analyses. The questions can address almost any topic,

  • Q : MANOVA and Reflection Activity

    Activity 10:   MANOVA and Reflection   4Comparison of Multiple Outcome Variables This activity introduces you to a very common technique - MANOVA. MANOVA is simply an extension of an ANOV

  • Q : Problem on Model Checking Part (a).

    Part (a). Draw a state diagram for a car with the following state variables: D indicating whether the car is in drive; B indicating the brake pedal is depressed; G indicating the gas pedal is depressed; and M indicating whether the car is moving. (For example, the sta

  • Q : State Kendalls notation

    Kendall’s notation:  A/B/C/K/m/Z A, Inter-arrival distribution M exponential D constant or determ

  • Q : Computers playing games How Computers

    How Computers playing games can be categorized according to different dimensions?

  • Q : Write out the null hypothesis 1.

    1. (AAC/ACA c9q1).  For each of the following studies, decide whether you can reject the null hypothesis that the groups come from identical populations. Use the alpha = .05 level.1a.

  • Q : What is Interactive Response Time Law

    Interactive Response Time Law: • R = (L/X) - Z• Applies to closed systems.• Z is the think time. The time elapsed since&nb

  • Q : Statics for each of the following

    for each of the following studies a and b decide whether to reject the null hypothesis that groiups come from identical populations. Use the .01 level. (c) Figure the effects size for each study. (d) ADVANCED TOPIC: Carry out an analysis of variance for study (a) using the strucurtal method.

  • Q : Get Solved LP Problems Solve Linear

    Solve Linear Programming Questions A producer manufactures 3 models (I, II and III) of a particular product. He uses 2 raw materials A and B of which 4000 and 6000 units respectively are obtainable. The raw materials per unit of 3

  • Q : Point of estimate standing data se to

    standing data se to develop a point of estimate

  • ©TutorsGlobe All rights reserved 2022-2023.