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Entropy in control engineering [[electronic resource] /] / George N. Saridis
| Entropy in control engineering [[electronic resource] /] / George N. Saridis |
| Autore | Saridis George N. <1931-> |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (148 p.) |
| Disciplina | 629.8 |
| Collana | Series in intelligent control and intelligent automation |
| Soggetto topico |
Entropy (Information theory)
Intelligent control systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-95174-9
9786611951740 981-281-022-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910454402403321 |
Saridis George N. <1931->
|
||
| Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Entropy in control engineering [[electronic resource] /] / George N. Saridis
| Entropy in control engineering [[electronic resource] /] / George N. Saridis |
| Autore | Saridis George N. <1931-> |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (148 p.) |
| Disciplina | 629.8 |
| Collana | Series in intelligent control and intelligent automation |
| Soggetto topico |
Entropy (Information theory)
Intelligent control systems |
| ISBN |
1-281-95174-9
9786611951740 981-281-022-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910782391203321 |
|
Saridis George N. <1931->
|
||
| Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Entropy in control engineering / / George N. Saridis
| Entropy in control engineering / / George N. Saridis |
| Autore | Saridis George N. <1931-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (148 p.) |
| Disciplina | 629.8 |
| Collana | Series in intelligent control and intelligent automation |
| Soggetto topico |
Entropy (Information theory)
Intelligent control systems |
| ISBN |
1-281-95174-9
9786611951740 981-281-022-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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 |
| Record Nr. | UNINA-9910826995803321 |
|
Saridis George N. <1931->
|
||
| Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hierarchically intelligent machines [[electronic resource] /] / George N. Saridis
| Hierarchically intelligent machines [[electronic resource] /] / George N. Saridis |
| Autore | Saridis George N. <1931-> |
| Pubbl/distr/stampa | River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (xvi, 126 p. ) : ill |
| Disciplina | 629.8 |
| Soggetto topico |
Artificial intelligence
Intelligent control systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-95643-0
9786611956431 981-281-082-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. |
| Record Nr. | UNINA-9910454068403321 |
|
Saridis George N. <1931->
|
||
| River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hierarchically intelligent machines [[electronic resource] /] / George N. Saridis
| Hierarchically intelligent machines [[electronic resource] /] / George N. Saridis |
| Autore | Saridis George N. <1931-> |
| Pubbl/distr/stampa | River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (xvi, 126 p. ) : ill |
| Disciplina | 629.8 |
| Soggetto topico |
Artificial intelligence
Intelligent control systems |
| ISBN |
1-281-95643-0
9786611956431 981-281-082-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. |
| Record Nr. | UNINA-9910782280503321 |
|
Saridis George N. <1931->
|
||
| River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hierarchically intelligent machines / / George N. Saridis
| Hierarchically intelligent machines / / George N. Saridis |
| Autore | Saridis George N. <1931-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | River Edge, NJ, : World Scientific, c2001 |
| Descrizione fisica | 1 online resource (xvi, 126 p. ) : ill |
| Disciplina | 629.8 |
| Soggetto topico |
Artificial intelligence
Intelligent control systems |
| ISBN |
1-281-95643-0
9786611956431 981-281-082-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ch. 1. Introduction. 1.1. Motivation. 1.2. Automation and control in modern society. 1.3. Intelligent machines-A survey. 1.4. Book organization. 1.5. Remarks. 1.6. References -- ch. 2. Machine intelligence, knowledge and precision; concepts and definitions. 2.1. Introduction. 2.2. Artificial vs. machine intelligence. 2.3. Smart systems. 2.4. Knowledge and intelligence in the machine. 2.5. Precision and complexity. 2.6. Hierarchically intelligent control. 2.7. Remarks. 2.8. References -- ch. 3. Entropy and the principle of increasing precision with decreasing intelligence (IPDI). 3.1. Uncertainty and entropy. 3.2. Entropy and thermodynamics: Boltzmann. 3.3. Entropy and information theory: Shannon. 3.4. Kolmogorov's [symbol]-entropy. 3.5. Entropy, environment and manufacturing. 3.6. The modified Jaynes' principle of maximum entropy. 3.7. The principle of increasing precision decreasing intelligence. 3.8. Remarks. 3.9. References -- ch. 4. The analytic formulation of hierarchically intelligent machines. 4.1. Introduction. 4.2. The architecture of the machine. 4.3. Definitions of the procedure. 4.4. Hierarchical modeling of the levels of the intelligent machine. 4.5. Remarks. 4.6. References -- ch. 5. Hierarchically intelligent control: the organization level. 5.1. Introduction. 5.2. The Boltzmann neutral net. 5.3. The analytic model. 5.4. Search techniques. 5.5. Remarks. 5.6. References -- ch. 6. Hierarchically intelligent control: The coordination level. 6.1. Introduction. 6.2. The architecture of coordination. 6.3. Petri nets and petri net transducers. 6.4. The coordination structure. 6.5. Task scheduling and translation. 6.6. Performance and entropy. 6.7. Remarks. 6.8. References -- ch. 7. Hierarchically intelligent control: The execution level. 7.1. Introduction. 7.2. The theory of global entropy. 7.3. Entropy formulation of motion control. 7.4. Entropy measures of stereo vision systems. 7.5. Remarks. 7.6. References -- ch. 8. Hierarchically intelligent control: Application to robotic systems. 8.1. Introduction. 8.2. The architecture of the organization level. 8.3. The architecture of the coordination level. 8.4. The analytic model. 8.5. The architecture of the execution level. 8.6. Entropy formulation of motion control. 8.7. Entropy measure of the vision system. 8.8. Entropy measure for the sensory system. 8.9. Total entropy of the system. 8.10. Remarks. 8.11. References -- ch. 9. Intelligent manufacturing. 9.1. Introduction. 9.2. Intelligent manufacturing. 9.3. Architecture of intelligent scheduling for production. 9.4. A paradigm of automated production scheduling. 9.5. Simulation results for the assembly of a machine. 9.6. Remarks -- ch. 10. Conclusions. 10.1. Distributed intelligent machines and cooperating robots. 10.2. Future research. 10.3. Concluding remarks. 10.4. References. |
| Record Nr. | UNINA-9910813731903321 |
|
Saridis George N. <1931->
|
||
| River Edge, NJ, : World Scientific, c2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||