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Constrained Control and Estimation: An Optimisation Approach

Graham C. Goodwin José A. De Doná María M. Seron

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Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-1-85233-548-9

ISBN electrónico

978-1-84628-063-4

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag London Limited 2005

Tabla de contenidos

Introduction

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 3-21

Overview of Optimisation Theory

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 23-62

Fixed Horizon Optimal Control with Constraints

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 63-83

Receding Horizon Optimal Control with Constraints

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 85-101

Constrained Linear Quadratic Optimal Control

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 103-123

Global Characterisation of Constrained Linear Quadratic Optimal Control

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 125-149

Regional Characterisation of Constrained Linear Quadratic Optimal Control

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 151-174

Computational Issues in Constrained Optimal Control

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 175-186

Constrained Estimation

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 187-216

Duality Between Constrained Estimation and Control

Graham C. Goodwin; José A. De Doná; María M. Seron

Software that is regularly used for real world problem solving or addressing a real world application must be continually adapted and enhanced to maintain its fitness to an ever changing real world, its applications and application domains. This adaptation and enhancement activities are termed , As progressive activity is undertaken, the complexity (e.g., functional, structural) of the evolving system is likely to increase unless work, termed , is also undertaken in order to control and even reduce complexity. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management will benefit from means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, this chapter describes a systems dynamics model that can serve as a basis of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of process modelling in order to plan and manage long-term software evolution.

Part I - Foundations | Pp. 217-237