Entropy in control engineering / George N. Saridis.

Format:

Book

Author/Creator:

Saridis, George N., 1931-

Series:

Series in intelligent control and intelligent automation ; v. 12.

Series in intelligent control and intelligent automation ; v. 12

Language:

English

Subjects (All):

Entropy (Information theory).

Intelligent control systems.

Physical Description:

1 online resource (148 p.)

Edition:

1st ed.

Place of Publication:

Singapore ; River Edge, NJ : World Scientific, c2001.

Language Note:

English

Summary:

This book attempts to couple control engineering with modern developments in science, through the concept of entropy. Such disciplines as intelligent machines, economics, manufacturing, environmental systems, waste etc. can be favorably affected and their performance can be improved or their catastrophic effects minimized. Entropy is used as the unifying measure of the various, seemingly disjoint, disciplines to represent the cost of producing work that improves the standard of living, both in engineering and in science. Modeling is done through probabilistic methods, thus establishing the ir

Contents:

Contents ; Table Of Figures ; Preface ; Chapter 1 Entropy, Control, Chaos; 1.1 Introduction: ; 1.2 Global Entropy ; 1.2.1 Review Of Entropy Concepts ; 1.2.2 Entropy And Thermodynamics ; 1.2.3 Entropy And Information Theory ; 1.2.4 e-Entropy; 1.2.5 Jaynes' Principle Of Maximum Entropy

1.2.6 The Principle Of Increasing Precision Decreasing Intelligence 1.2.7 Entropy And The Environment ; 1.3 Uncertainty And The Control Problem ; 1.4 The Human Interaction ; 1.5 Automatic Control Systems ; 1.6 Entropy Formulation Of Control ; 1.7 Conclusions ; 1.8 References

Chapter 2 Stochastic Optimal Estimation And Control 2.1 Introduction ; 2.2 The Deterministic Optimal Control ; 2.3 The Stochastic Optimal Control Problem ; 2.4 The Stochastic Suboptimal Control Problem ; 2.5 Discrete-Time Formulation Of The Stochastic Optimal Control Problem

2.6 Maximum Entropy Formulation Of State Estimation: Continuous-Time 2.7 Maximum Entropy Formulation Of State Estimation: Discrete-Time ; 2.8 The Cost Of Active Feedback (Dual) Control Problem ; 2.9 Stochastic Optimal (Dual) Estimation And Control

2.10 Stochastic Suboptimal Control Revisited 2.11 Stochastic Optimal Adaptive Control ; 2.11.1 Example: The Dual-Optimal And Adaptive Control ; 2.12 The LQG Optimal Control And The Kalman-Bucy Filter; 2.13 Upper Bound Of The Equivocation H[o/u*]; 2.13.1 Example: The Upper Bound Of Equivocation ; 2.14 Conclusions ; 2.15 References

Chapter 3 Review Of Intelligent Control Systems

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611951740

9781281951748

1281951749

9789812810229

9812810226

OCLC:

815754721