Discrete Systems Analysis, Control and Optimization

Discrete Systems Analysis, Control and Optimization / by Magdi S Mahmoud, M.G. Singh.

More and more digital devices are being used for informa­ tion processing and control purposes in a variety of systems applications, including industrial processes, power networks, biological systems and communication networks. This trend has been helped by the advent of microprocessors and the cons...

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Bibliographic Details
Main Authors: Mahmoud, Magdi S. (Author), Singh, M.G (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1984.
Edition:1st ed. 1984.
Series:Communications and Control Engineering,
Springer eBook Collection.
Subjects:
Control engineering.
Robotics.
Mechatronics.
Computer hardware.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Discrete Models in Systems Engineering
  • 1.1 Introduction
  • 1.2 Some Illustrative Examples
  • 1.3 Objectives and Outline of the Book
  • 1.4 References
  • 2 Representation of Discrete Control Systems
  • 2.1 Introduction
  • 2.2 Transfer Functions
  • 2.3 Difference Equations
  • 2.4. Discrete State Equations
  • 2.5 Modal Decomposition
  • 2.6 Concluding Remarks
  • 2.7 Problems
  • 2.8 References
  • 3 Structural Properties
  • 3.1 Introduction
  • 3.2 Controllability
  • 3.3 Observability
  • 3.4. Stability
  • 3.5 Remarks
  • 3.6 Problems
  • 3.7 References
  • 4 Design of Feedback Systems
  • 4.1 Introduction
  • 4.2 The Concept of Linear Feedback
  • 4.3 Deadbeat Controllers
  • 4.4 Development of Reduced-Order Models
  • 4.5 Control Systems with Slow and Fast Modes
  • 4.6 Concluding Remarks
  • 4.7 Problems
  • 4.8 References
  • 5 Control of Systems with Inaccessible States
  • 5.1 Introduction
  • 5.2 State Reconstruction Schemes
  • 5.3 Observer-Based Controllers
  • 5.4 Two-Level Observation Structures
  • 5.5 Discrete Two-Time-Scale Systems
  • 5.6 Concluding Remarks
  • 5.7 Problems
  • 5.8 References
  • 6 State and Parameter Estimation
  • 6.1 Introduction
  • 6.2 Random Variables and Gauss-Markov Processes
  • 6.3 Linear Discrete Models with Random Inputs
  • 6.4 The Kalman Filter
  • 6.5 Decentralised Computation of the Kalman Fikter
  • 6.6 Parameter Estimation
  • 6.7 Problems
  • 6.8 References
  • 7 Adaptive Control Systems
  • 7.1 Introduction
  • 7.2 Basic Concepts of Model Reference Adaptive Systems
  • 7.3 Design Techniques
  • 7.4 Self-Tuning Regulators
  • 7.5 Concluding Remarks
  • 7.6 Problems
  • 7.7 References
  • 8 Dynamic Optimisation
  • 8.1 Introduction
  • 8.2 The Dynamic Optimisation Problem
  • 8.3 Linear-Quadratic Discrete Regulators
  • 8.4 Numerical Algorithms for the Discrete Riccati Equation
  • 8.5 Hierarchical Optimization Methodology
  • 8.6 Decomposition-Decentralisation Approach
  • 8.7 Concluding Remarks
  • 8.8 Problems
  • 8.9 References.

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