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items found)
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Title:
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Measuring and Evaluating Maintenance Process Using Reliability, Risk, and Test Metrics |
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Author:
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Norman F. Schneidewind |
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Description:
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In analyzing the stability of a software maintenance process, it is important that it is not treated in isolation from the reliability and risk of deploying the software that result from applying the process. Furthermore, we need to consider the efficiency of the test effort that is a part of the process and a determinate of reliability and risk of deployment. The relationship between product quality and process capability and maturity has been recognized as a major issue in software engineering based on the premise that improvements in the process will lead to higher-quality products. To this end, we have been investigating an important facet of process capability-stability-as defined and evaluated by trend, change and shape metrics, across releases and within a release. Our integration of product and process measurement serves the dual purpose of using metrics to assess and predict reliability and risk and to evaluate process stability. We use the NASA Space Shuttle flight software to illustrate our approach. |
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Context
of Use:
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Professional Level,
University Graduate. |
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Ratings/Reviews:
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Title:
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Robust Control |
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Author:
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R. Lane Dailey |
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Description:
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Robust control has been a very active branch of control theory since the late 1970s, drawing much interest from academia, industry, and government. As we have seen from prior lessons, much of modern control theory relies upon a mathematical model of the plant to be controlled. In the real world, there is always uncertainty in any such model: the actual plant's responses may be quite different from the assumed model. |
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Context
of Use:
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University Graduate,
University Graduate,
Technical
School Second Cycle,
University Graduate,
Vocational Training,
Technical
School Second Cycle,
Professional Level. |
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Ratings/Reviews:
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Title:
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Modern Control Systems: Lesson 1-
Classical control systems |
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Author:
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Michael K. Masten. |
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Description:
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This first lesson defines the
fundamental concepts of control systems, systems
developed when behavior of a dynamic system is
to be controlled to achieve a desired goal. This
lesson describes "classical"
techniques used in control system design and
analysis. This material does not include all of
the fundamentals in a traditional Classical
Controls lesson. The topics chosen for this
lesson are limited to concepts that are
presented in subsequesnt lessons in this study.
This lesson defines the context into which
Modern Control was developed; the fundamentals
described in this lesson are equally applicable
to both Classical and Modern Control. |
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Context
of Use:
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University Graduate. |
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Ratings/Reviews:
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Title:
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Modern control systems: Lesson 2-
Tools for Modern Control |
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Author:
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Michael K. Masten. |
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Description:
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This lesson focuses on some of the
mathematical tools needed to understand and use
Modern Control techniques. Classical Control
uses frequency-domain, single-input
single-output analysis tools. However, Modern
Control techniques are more powerful and the
tools for it are more complex. Modern Control
uses time-domain as well as frequency-domain and
looks at issues such as
"observability" and
"controllability." State-space
techniques are a powerful formulation of
time-domain mathmematical descriptions: they
contain the same information as high order,
complex differential equations, but they can be
generalized and used to generate control system
designs which apply to a wide variety of plants.
This lesson addresses both the state equations
and their related matrix techniques. |
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Context
of Use:
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University Graduate. |
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Ratings/Reviews:
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Actions:
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Title:
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Modern control systems: Lesson 3-
Linear systems |
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Author:
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Edward J. Davidson. |
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Description:
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This lesson contains much more
mathematical development than used in Lesson 1
to derive controller synthesis procedures. The
lesson focuses on this mathematical development
to provide insight into system behavior; formal
definitions of stability and specific
performance measures are then examined using
various models. There is heavy use of
mathematics and the time-domain is the major
focus rather than frequency-domain in this
examination of Modern Control. |
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Context
of Use:
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University Graduate. |
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Ratings/Reviews:
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Actions:
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Title:
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Modern control systems: Lesson 4-
Nonlinear systems |
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Author:
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Hassan Khalil. |
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Description:
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This lesson examines some of the
unique characteristics of nonlinear systems and
introduces new mathematical tools necessary to
analyze and design nonlinear systems. The lesson
uses the Lyapunov Theorem to examine system
stability. It also examines the methodology of
designing contollers for nonlinear systems. The
objective of the controller is to stabilize
systems as well as improve performance. |
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Context
of Use:
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Vocational Training,
University Graduate,
Technical
School Second Cycle,
University Graduate,
Vocational Training,
Technical
School Second Cycle,
Professional Level. |
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Ratings/Reviews:
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Actions:
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Title:
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Modern control systems: Lesson 5-
Optimal control |
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Author:
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Frank L. Lewis. |
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Description:
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This lesson focuses on optimal
control techniques for determining the
controller which will achieve the best possible
value for the performance index. The analysis is
mathematically intense because the solution for
an optimal control problem depends on 1) the
unique plant being controlled, and; 2) the
specific performance index to be optimized. The
optimal controller is described mathematically
because the desired control system
characteristics are not "specified." |
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Context
of Use:
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Vocational Training,
Professional Level,
University Graduate,
Vocational Training,
Technical
School Second Cycle,
Professional Level. |
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Ratings/Reviews:
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Actions:
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Title:
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Modern control systems: Lesson 6-
Stochastic control, filtering and estimation |
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Author:
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D. D. Sworder. |
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Description:
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This lesson addresses the
unpredictable noise in "real world"
applications of control system designs. The
author shows that Stochastic Control techniques
are useful for treating situations where noise
and uncertainty are a significant factor in the
overall system operation. The lesson looks at
the processes of estimation, filtering and
prediction for approximating the state of a
system, both current and future. |
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Context
of Use:
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Vocational Training,
University Graduate,
Technical
School Second Cycle,
University Graduate,
Vocational Training,
Technical
School Second Cycle,
Professional Level. |
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Ratings/Reviews:
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Actions:
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Title:
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Modern control systems: workbook
(for lessons 1-12 on Control System design) |
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Author:
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Michael K. Masten, Editor. |
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Description:
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This workbook has problems and
solutions which are intended to reinforce the
concepts of the Modern Control Systems course
found on this site. The lessons listed in this
library are titled: Modern control systems:
Lesson 1-Lesson 12, by Michael K. Masten and
associates. They are listed in the category and
subcategory of: Industrial and Systems
Engineering; Manufacturing process, and under
the sub-topic of: Industrial Control Systems. |
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Context
of Use:
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University
(Upper Div),
Professional Level,
University Graduate,
Technical
School Second Cycle,
University
(Upper Div),
University Graduate,
Vocational Training,
Technical
School Second Cycle,
Professional Level. |
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Ratings/Reviews:
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Actions:
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Title:
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Introduction to Linear Programming |
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Author:
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Gregory A. Graman |
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Description:
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This lecture introduces Introduction to Linear Programming. It covers:Linear Programming Problem; Problem Formulation;A Maximization Problem; Graphical Solution Procedure; Computer Solutions; A Minimization Problem; Special Cases. |
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Context
of Use:
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University
(Upper Div). |
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Ratings/Reviews:
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Actions:
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