Book Image

Agile Model-Based Systems Engineering Cookbook

By : Dr. Bruce Powel Douglass
Book Image

Agile Model-Based Systems Engineering Cookbook

By: Dr. Bruce Powel Douglass

Overview of this book

Agile MBSE can help organizations manage constant change and uncertainty while continuously ensuring system correctness and meeting customers’ needs. But deploying it isn’t easy. Agile Model-Based Systems Engineering Cookbook is a little different from other MBSE books out there. This book focuses on workflows – or recipes, as the author calls them – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. Written by Dr. Bruce Powel Douglass, a world-renowned expert in MBSE, this book will take you through important systems engineering workflows and show you how they can be performed effectively with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering, but we won’t linger on the theory for too long. Each of the recipes will take you through initiating a project, defining stakeholder needs, defining and analyzing system requirements, designing system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering. By the end of this MBSE book, you’ll have learned how to implement critical systems engineering workflows and create verifiably correct systems engineering models.
Table of Contents (8 chapters)

Pegasus high-level features

This section describes a number of the key features and benefits of the Pegasus Bike Trainer.

Highly customizable bike fit

The Pegasus fits users from 5' to 6'4" tall, with a maximum rider weight of 300 lbs. It has an adjustable crank length from 160 mm to 180 mm. Refer to the following diagram:

Figure A.2 – Customizing the bike fit

Monitoring exercise metrics

Metrics monitored include speed, distance, power, cadence, time, and grade (incline). Data will be uploaded to connected devices at a rate of at least 5 Hz.

Export/upload exercise metrics

The system monitors, stores, and reports metrics over the BLE, ANT+, and ANT FEC interfaces. It is assumed that the user will provide their own heart rate strap for capturing and reporting heart rate data to their iOS, Android, or Windows devices.

Variable power output

Output can be set from 0 W to 2,000 W with a heavy flywheel to provide power...