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Discrete-time neural observers : analysis and applications / / Alma Y. Alanis, research professor, University of Guadalajara, Mexico, Edgar N. Sanchez, research professor, CINVESTAV, University of Guadalajara, Mexico
Discrete-time neural observers : analysis and applications / / Alma Y. Alanis, research professor, University of Guadalajara, Mexico, Edgar N. Sanchez, research professor, CINVESTAV, University of Guadalajara, Mexico
Autore Alanis Alma Y.
Pubbl/distr/stampa London : , : Academic Press, , [2017]
Descrizione fisica 1 online resource (152 pages) : illustrations
Disciplina 003/.83
Soggetto topico Neural networks (Computer science)
Nonlinear systems
Discrete-time systems
ISBN 0-12-810544-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910583366503321
Alanis Alma Y.  
London : , : Academic Press, , [2017]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Eighth International Workshop on Discrete Event systems : WODES 2006 : July 10-12, 2006, Ann Arbor, Michigan, USA : proceedings
Eighth International Workshop on Discrete Event systems : WODES 2006 : July 10-12, 2006, Ann Arbor, Michigan, USA : proceedings
Pubbl/distr/stampa [Place of publication not identified], : Institute of Electrical and Electronics Engineers, 2006
Disciplina 003/.83
Soggetto topico System analysis
Discrete-time systems
Civil & Environmental Engineering
Operations Research
Engineering & Applied Sciences
ISBN 1-5090-9371-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996207710203316
[Place of publication not identified], : Institute of Electrical and Electronics Engineers, 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Eighth International Workshop on Discrete Event systems : WODES 2006 : July 10-12, 2006, Ann Arbor, Michigan, USA : proceedings
Eighth International Workshop on Discrete Event systems : WODES 2006 : July 10-12, 2006, Ann Arbor, Michigan, USA : proceedings
Pubbl/distr/stampa [Place of publication not identified], : Institute of Electrical and Electronics Engineers, 2006
Disciplina 003/.83
Soggetto topico System analysis
Discrete-time systems
Civil & Environmental Engineering
Operations Research
Engineering & Applied Sciences
ISBN 1-5090-9371-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910145612403321
[Place of publication not identified], : Institute of Electrical and Electronics Engineers, 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of simulation : principles, methodology, advances, applications, and practice / / edited by Jerry Banks
Handbook of simulation : principles, methodology, advances, applications, and practice / / edited by Jerry Banks
Pubbl/distr/stampa [Place of publication not identified], : Wiley, 1998
Disciplina 003/.83
Soggetto topico Simulation methods - Handbooks, manuals, etc
Discrete-time systems - Handbooks, manuals, etc
Civil & Environmental Engineering
Engineering & Applied Sciences
Operations Research
ISBN 0-470-30284-4
0-470-17244-4
1-60119-145-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910142435103321
[Place of publication not identified], : Wiley, 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling and simulation of discrete-event systems [[electronic resource] /] / Byoung Kyu Choi, Donghun Kang
Modeling and simulation of discrete-event systems [[electronic resource] /] / Byoung Kyu Choi, Donghun Kang
Autore Choi Byoung Kyu <1949->
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons Inc., 2013
Descrizione fisica 1 online resource (427 p.)
Disciplina 003/.83
Altri autori (Persone) KangDonghun <1981->
Soggetto topico Discrete-time systems - Simulation methods
ISBN 1-118-73276-6
1-118-73279-0
1-118-73285-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. I. Basics of system modeling and simulation -- pt. II. Fundamentals of discrete-event system modeling and simulation -- pt. III. Advances in discrete-event system modeling and simulation.
Record Nr. UNINA-9910139036403321
Choi Byoung Kyu <1949->  
Hoboken, N.J., : John Wiley & Sons Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Modeling and simulation of discrete-event systems / / Byoung Kyu Choi, Donghun Kang
Modeling and simulation of discrete-event systems / / Byoung Kyu Choi, Donghun Kang
Autore Choi Byoung Kyu <1949->
Edizione [1st ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons Inc., 2013
Descrizione fisica 1 online resource (427 p.)
Disciplina 003/.83
Altri autori (Persone) KangDonghun <1981->
Soggetto topico Discrete-time systems - Simulation methods
ISBN 1-118-73276-6
1-118-73279-0
1-118-73285-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. I. Basics of system modeling and simulation -- pt. II. Fundamentals of discrete-event system modeling and simulation -- pt. III. Advances in discrete-event system modeling and simulation.
Record Nr. UNINA-9910814767903321
Choi Byoung Kyu <1949->  
Hoboken, N.J., : John Wiley & Sons Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sixth International Workshop on Discrete Event Systems : 2-4 October, 2002, Zaragoza, Spain : proceedings / edited by Manuel Silva, Alessandro Giua, and Jose ́M. Colom ; sponsored by Universidad de Zaragoza, Comisión Interministerial de Ciencia y Tecnologí
Sixth International Workshop on Discrete Event Systems : 2-4 October, 2002, Zaragoza, Spain : proceedings / edited by Manuel Silva, Alessandro Giua, and Jose ́M. Colom ; sponsored by Universidad de Zaragoza, Comisión Interministerial de Ciencia y Tecnologí
Pubbl/distr/stampa [Place of publication not identified], : IEEE Computer Society, 2002
Disciplina 003/.83
Soggetto topico System analysis
Discrete-time systems
Civil & Environmental Engineering
Operations Research
Engineering & Applied Sciences
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996217991003316
[Place of publication not identified], : IEEE Computer Society, 2002
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Stochastic simulation optimization for discrete event systems [[electronic resource] ] : perturbation analysis, ordinal optimization, and beyond / / editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee
Stochastic simulation optimization for discrete event systems [[electronic resource] ] : perturbation analysis, ordinal optimization, and beyond / / editors, Chun-Hung Chen, Qing-Shan Jia, Loo Hay Lee
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2013
Descrizione fisica 1 online resource (274 p.)
Disciplina 003/.83
Altri autori (Persone) ChenChun-Hung <1964->
JiaQing-Shan <1980->
LeeLoo Hay
Soggetto topico Discrete-time systems - Mathematical models
Perturbation (Mathematics)
Systems engineering - Computer simulation
Soggetto genere / forma Electronic books.
ISBN 981-4513-01-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References
Chapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection
3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions
4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines
6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration
7.3. Performance Optimization of Markov Systems Based on Performance Potentials
Record Nr. UNINA-9910452310203321
Hackensack, NJ, : World Scientific, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore
Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2013
Descrizione fisica 1 online resource (xxviii, 245 pages) : illustrations
Disciplina 003/.83
Collana Gale eBooks
Soggetto topico Discrete-time systems - Mathematical models
Perturbation (Mathematics)
Systems engineering - Computer simulaton
ISBN 981-4513-01-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References
Chapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection
3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions
4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines
6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration
7.3. Performance Optimization of Markov Systems Based on Performance Potentials
Record Nr. UNINA-9910779883803321
Hackensack, NJ, : World Scientific, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore
Stochastic simulation optimization for discrete event systems : perturbation analysis, ordinal optimization and beyond / / editors, Chun-Hung Chen, George Mason University, USA, Qing-Shan Jia, Tsinghua University, China, Loo Hay Lee, National University of Singapore, Singapore
Pubbl/distr/stampa Hackensack, NJ, : World Scientific, c2013
Descrizione fisica 1 online resource (xxviii, 245 pages) : illustrations
Disciplina 003/.83
Collana Gale eBooks
Soggetto topico Discrete-time systems - Mathematical models
Perturbation (Mathematics)
Systems engineering - Computer simulaton
ISBN 981-4513-01-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Foreword: A Tribute to a Great Leader in Perturbation Analysis and Ordinal Optimization; Foreword: The Being and Becoming of Perturbation Analysis; Foreword: Remembrance of Things Past; Contents; Part I: Perturbation Analysis; Chapter 1. The IPA Calculus for Hybrid Systems; 1.1. Introduction; 1.2. Perturbation Analysis of Hybrid Systems; 1.2.1. Infinitesimal Perturbation Analysis (IPA): The IPA calculus; 1.3. IPA Properties; 1.4. General Scheme for Abstracting DES to SFM; 1.5. Conclusions and FutureWork; References
Chapter 2. Smoothed Perturbation Analysis: A Retrospective and Prospective Look2.1. Introduction; 2.2. Brief History of SPA; 2.3. Another Example; 2.4. Overview of a General SPA Framework; 2.5. Applications; 2.5.1. Queueing; 2.5.2. Inventory; 2.5.3. Finance; 2.5.4. Stochastic Activity Networks (SANs); 2.5.5. Others; 2.6. Random Retrospective and Prospective Concluding Remarks; Acknowledgements; References; Chapter 3. Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; 3.1. Introduction; 3.2. Systematic and Generic Control Variate Selection
3.2.1. Control variate technique: a brief review3.2.2. Parametrized estimation problems; 3.2.3. Deterministic function approximation and generic CV selection; 3.3. Control Variates for Sensitivity Estimation; 3.3.1. A parameterized estimation formulation of sensitivity estimation; 3.3.2. Finite difference based controls; 3.3.3. Illustrating example; 3.4. Database Monte Carlo (DBMC) Implementation; 3.5. Conclusions; Acknowledgements; References; Chapter 4. Adjoints and Averaging; 4.1. Introduction; 4.2. Adjoints: Classical Setting; 4.3. Adjoints: Waiting Times; 4.4. Adjoints: Vector Recursions
4.5. Averaging4.6. Concluding Remarks; References; Chapter 5. Infinitesimal Perturbation Analysis and Optimization Algorithms; 5.1. Preliminary Remarks; 5.2. Motivation; 5.3. Single-server Queues; 5.3.1. Controlled single-server queue; 5.3.2. Infinitesimal perturbation analysis; 5.3.3. Optimization algorithm; 5.4. Convergence; 5.4.1. Stochastic approximation convergence theorem; 5.4.2. Updating after every busy period; 5.4.3. Updating after every service time; 5.4.4. Example; 5.5. Final Remarks; References; Chapter 6. Simulation-based Optimization of Failure-prone Continuous Flow Lines
6.1. Introduction6.2. Two-machine Continuous Flow Lines; 6.3. Gradient Estimation of a Two-machine Line; 6.4. Modeling Assembly/Disassembly Networks Subject to TDF Failures with Stochastic Fluid Event Graphs; 6.5. Evolution Equations and Sample Path Gradients; 6.6. Optimization of Stochastic Fluid Event Graphs; 6.7. Conclusion; References; Chapter 7. Perturbation Analysis, Dynamic Programming, and Beyond; 7.1. Introduction; 7.2. Perturbation Analysis of Queueing Systems Based on Perturbation Realization Factors; 7.2.1. Performance gradient; 7.2.2. Policy iteration
7.3. Performance Optimization of Markov Systems Based on Performance Potentials
Record Nr. UNINA-9910823201703321
Hackensack, NJ, : World Scientific, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui