Entropy in control engineering [[electronic resource] /] / George N. Saridis

• Autore: Saridis George N. <1931->
• Pubblicazione: Singapore ; ; River Edge, NJ, : World Scientific, c2001
• Descrizione fisica: 1 online resource (148 p.)
• Disciplina: 629.8
• Soggetto topico: Entropy (Information theory); Intelligent control systems
• Soggetto genere / forma: Electronic books.
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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
• Sommario/riassunto: 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
• Titolo autorizzato: Entropy in control engineering
• ISBN: 1-281-95174-9; 9786611951740; 981-281-022-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910454402403321
• Lo trovi qui: Univ. Federico II
• Serie: Series in intelligent control and intelligent automation ; ; v. 12.