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Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]]
| Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]] |
| Autore | Sworder David D. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 1999 |
| Descrizione fisica | 1 online resource (xxi, 270 pages) : digital, PDF file(s) |
| Disciplina | 629.8/3 |
| Soggetto topico |
Feedback control systems
Estimation theory Nonlinear theories |
| ISBN |
1-107-11111-0
0-511-00781-7 1-280-41890-7 9786610418909 0-511-17175-7 0-511-14906-9 0-511-30201-0 0-511-54615-7 0-511-05059-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1. Hybrid Estimation -- ; 2. The Polymorphic Estimator -- ; 3. Situation Assessment -- ; 4. Image-Enhanced Target Tracking -- ; 5. Hybrid Plants with Base-State Discontinuities -- ; 6. Mode-Dependent Observations -- ; 7. Control of Hybrid Systems -- ; 8. Target Recognition and Prediction -- ; 9. Hybrid Estimation Using Measure Changes -- ; App. 1. PME Derivation Details -- ; App. 2. COM Derivation Details. |
| Record Nr. | UNINA-9910455600603321 |
Sworder David D.
|
||
| Cambridge : , : Cambridge University Press, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]]
| Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]] |
| Autore | Sworder David D. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 1999 |
| Descrizione fisica | 1 online resource (xxi, 270 pages) : digital, PDF file(s) |
| Disciplina | 629.8/3 |
| Soggetto topico |
Feedback control systems
Estimation theory Nonlinear theories |
| ISBN |
1-107-11111-0
0-511-00781-7 1-280-41890-7 9786610418909 0-511-17175-7 0-511-14906-9 0-511-30201-0 0-511-54615-7 0-511-05059-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1. Hybrid Estimation -- ; 2. The Polymorphic Estimator -- ; 3. Situation Assessment -- ; 4. Image-Enhanced Target Tracking -- ; 5. Hybrid Plants with Base-State Discontinuities -- ; 6. Mode-Dependent Observations -- ; 7. Control of Hybrid Systems -- ; 8. Target Recognition and Prediction -- ; 9. Hybrid Estimation Using Measure Changes -- ; App. 1. PME Derivation Details -- ; App. 2. COM Derivation Details. |
| Record Nr. | UNINA-9910780243703321 |
|
Sworder David D.
|
||
| Cambridge : , : Cambridge University Press, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]]
| Estimation problems in hybrid systems / / David D. Sworder, John E. Boyd [[electronic resource]] |
| Autore | Sworder David D. |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 1999 |
| Descrizione fisica | 1 online resource (xxi, 270 pages) : digital, PDF file(s) |
| Disciplina | 629.8/3 |
| Soggetto topico |
Feedback control systems
Estimation theory Nonlinear theories |
| ISBN |
1-107-11111-0
0-511-00781-7 1-280-41890-7 9786610418909 0-511-17175-7 0-511-14906-9 0-511-30201-0 0-511-54615-7 0-511-05059-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ; 1. Hybrid Estimation -- ; 2. The Polymorphic Estimator -- ; 3. Situation Assessment -- ; 4. Image-Enhanced Target Tracking -- ; 5. Hybrid Plants with Base-State Discontinuities -- ; 6. Mode-Dependent Observations -- ; 7. Control of Hybrid Systems -- ; 8. Target Recognition and Prediction -- ; 9. Hybrid Estimation Using Measure Changes -- ; App. 1. PME Derivation Details -- ; App. 2. COM Derivation Details. |
| Record Nr. | UNINA-9910821986103321 |
|
Sworder David D.
|
||
| Cambridge : , : Cambridge University Press, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Feedback Control of Computing Systems / / Joseph L. Hellerstein, Yixin Diao, Sujay Parekh, Dawn M. Tilbury
| Feedback Control of Computing Systems / / Joseph L. Hellerstein, Yixin Diao, Sujay Parekh, Dawn M. Tilbury |
| Autore | Hellerstein Joseph L. |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | [Piscataqay, New Jersey] : , : Wiley-IEEE Press, , 2004 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 629.8/3 |
| Altri autori (Persone) | HellersteinJoseph <1952-> |
| Soggetto topico |
Feedback control systems
Control theory Electronic data processing |
| Soggetto non controllato | Computer science - general interest - Computer science special topics - Information technologies |
| ISBN |
1-280-34602-7
9786610346028 0-471-66881-8 0-471-66880-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Feedback Control of Computing Systems; Contents; PREFACE; PART I BACKGROUND; 1 Introduction and Overview; 1.1 The Nature of Feedback Control; 1.2 Control Objectives; 1.3 Properties of Feedback Control Systems; 1.4 Open-Loop versus Closed-Loop Control; 1.5 Summary of Applications of Control Theory to Computing Systems; 1.6 Computer Examples of Feedback Control Systems; 1.6.1 IBM Lotus Domino Server; 1.6.2 Queueing Systems; 1.6.3 Apache HTTP Server; 1.6.4 Random Early Detection of Router Overloads; 1.6.5 Load Balancing; 1.6.6 Streaming Media; 1.6.7 Caching with Differentiated Service
1.7 Challenges in Applying Control Theory to Computing Systems1.8 Summary; 1.9 Exercises; PART II SYSTEM MODELING; 2 Model Construction; 2.1 Basics of Queueing Theory; 2.2 Modeling Dynamic Behavior; 2.2.1 Model Variables; 2.2.2 Signals; 2.2.3 Linear, Time-Invariant Difference Equations; 2.2.4 Nonlinearities; 2.3 First-Principles Models; 2.4 Black-Box Models; 2.4.1 Model Scope; 2.4.2 Experimental Design; 2.4.3 Parameter Estimation; 2.4.4 Model Evaluation; 2.5 Summary; 2.6 Extended Examples; 2.6.1 IBM Lotus Domino Server; 2.6.2 Apache HTTP Server; 2.6.3 M/M/1/K Comparisons *2.7 Parameter Estimation Using MATLAB2.8 Exercises; 3 Z-Transforms and Transfer Functions; 3.1 Z-Transform Basics; 3.1.1 Z-Transform Definition; 3.1.2 Z-Transforms of Common Signals; 3.1.3 Properties of Z-Transforms; 3.1.4 Inverse Z-Transforms; 3.1.5 Using Z-Transforms to Solve Difference Equations; 3.2 Characteristics Inferred from Z-Transforms; 3.2.1 Review of Complex Variables; 3.2.2 Poles and Zeros of a Z-Transform; 3.2.3 Steady-State Analysis; 3.2.4 Time Domain versus Z-Domain; 3.3 Transfer Functions; 3.3.1 Stability; 3.3.2 Steady-State Gain; 3.3.3 System Order 3.3.4 Dominant Poles and Model Simplification3.3.5 Simulating Transfer Functions; 3.4 Summary; 3.5 Extended Examples; 3.5.1 M/M/1/K from System Identification; 3.5.2 IBM Lotus Domino Server: Sensor Delay; 3.5.3 Apache HTTP Server: Combining Control Inputs; *3.6 Z-Transforms and MATLAB; 3.7 Exercises; 4 System Modeling with Block Diagrams; 4.1 Block Diagrams Basics; 4.2 Transforming Block Diagrams; 4.2.1 Special Aggregations of Blocks; 4.3 Transfer Functions for Control Analysis; 4.4 Block Diagram Restructuring; 4.5 Summary; 4.6 Extended Examples; 4.6.1 IBM Lotus Domino Server 4.6.2 Apache HTTP Server with Control Loops4.6.3 Streaming; *4.7 Composing Transfer Functions in MATLAB; 4.8 Exercises; 5 First-Order Systems; 5.1 First-Order Model; 5.2 System Response; 5.2.1 Steady-State and Transient Responses; 5.2.2 Input Signal Model; 5.2.3 Time-Domain Solution; 5.3 Initial Condition Response; 5.4 Impulse Response; 5.5 Step Response; 5.5.1 Numerical Example; 5.5.2 Time-Domain Solution; 5.5.3 Steady-State Response; 5.5.4 Transient Response; 5.6 Transient Response to Other Signals; 5.6.1 Ramp Response; 5.6.2 Frequency Response; 5.7 Effect of Stochastics; 5.8 Summary 5.9 Extended Examples |
| Record Nr. | UNINA-9910146078103321 |
|
Hellerstein Joseph L.
|
||
| [Piscataqay, New Jersey] : , : Wiley-IEEE Press, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Feedback Control of Computing Systems / / Joseph L. Hellerstein, Yixin Diao, Sujay Parekh, Dawn M. Tilbury
| Feedback Control of Computing Systems / / Joseph L. Hellerstein, Yixin Diao, Sujay Parekh, Dawn M. Tilbury |
| Autore | Hellerstein Joseph L. |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | [Piscataqay, New Jersey] : , : Wiley-IEEE Press, , 2004 |
| Descrizione fisica | 1 online resource (451 p.) |
| Disciplina | 629.8/3 |
| Altri autori (Persone) | HellersteinJoseph <1952-> |
| Soggetto topico |
Feedback control systems
Control theory Electronic data processing |
| Soggetto non controllato | Computer science - general interest - Computer science special topics - Information technologies |
| ISBN |
1-280-34602-7
9786610346028 0-471-66881-8 0-471-66880-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Feedback Control of Computing Systems; Contents; PREFACE; PART I BACKGROUND; 1 Introduction and Overview; 1.1 The Nature of Feedback Control; 1.2 Control Objectives; 1.3 Properties of Feedback Control Systems; 1.4 Open-Loop versus Closed-Loop Control; 1.5 Summary of Applications of Control Theory to Computing Systems; 1.6 Computer Examples of Feedback Control Systems; 1.6.1 IBM Lotus Domino Server; 1.6.2 Queueing Systems; 1.6.3 Apache HTTP Server; 1.6.4 Random Early Detection of Router Overloads; 1.6.5 Load Balancing; 1.6.6 Streaming Media; 1.6.7 Caching with Differentiated Service
1.7 Challenges in Applying Control Theory to Computing Systems1.8 Summary; 1.9 Exercises; PART II SYSTEM MODELING; 2 Model Construction; 2.1 Basics of Queueing Theory; 2.2 Modeling Dynamic Behavior; 2.2.1 Model Variables; 2.2.2 Signals; 2.2.3 Linear, Time-Invariant Difference Equations; 2.2.4 Nonlinearities; 2.3 First-Principles Models; 2.4 Black-Box Models; 2.4.1 Model Scope; 2.4.2 Experimental Design; 2.4.3 Parameter Estimation; 2.4.4 Model Evaluation; 2.5 Summary; 2.6 Extended Examples; 2.6.1 IBM Lotus Domino Server; 2.6.2 Apache HTTP Server; 2.6.3 M/M/1/K Comparisons *2.7 Parameter Estimation Using MATLAB2.8 Exercises; 3 Z-Transforms and Transfer Functions; 3.1 Z-Transform Basics; 3.1.1 Z-Transform Definition; 3.1.2 Z-Transforms of Common Signals; 3.1.3 Properties of Z-Transforms; 3.1.4 Inverse Z-Transforms; 3.1.5 Using Z-Transforms to Solve Difference Equations; 3.2 Characteristics Inferred from Z-Transforms; 3.2.1 Review of Complex Variables; 3.2.2 Poles and Zeros of a Z-Transform; 3.2.3 Steady-State Analysis; 3.2.4 Time Domain versus Z-Domain; 3.3 Transfer Functions; 3.3.1 Stability; 3.3.2 Steady-State Gain; 3.3.3 System Order 3.3.4 Dominant Poles and Model Simplification3.3.5 Simulating Transfer Functions; 3.4 Summary; 3.5 Extended Examples; 3.5.1 M/M/1/K from System Identification; 3.5.2 IBM Lotus Domino Server: Sensor Delay; 3.5.3 Apache HTTP Server: Combining Control Inputs; *3.6 Z-Transforms and MATLAB; 3.7 Exercises; 4 System Modeling with Block Diagrams; 4.1 Block Diagrams Basics; 4.2 Transforming Block Diagrams; 4.2.1 Special Aggregations of Blocks; 4.3 Transfer Functions for Control Analysis; 4.4 Block Diagram Restructuring; 4.5 Summary; 4.6 Extended Examples; 4.6.1 IBM Lotus Domino Server 4.6.2 Apache HTTP Server with Control Loops4.6.3 Streaming; *4.7 Composing Transfer Functions in MATLAB; 4.8 Exercises; 5 First-Order Systems; 5.1 First-Order Model; 5.2 System Response; 5.2.1 Steady-State and Transient Responses; 5.2.2 Input Signal Model; 5.2.3 Time-Domain Solution; 5.3 Initial Condition Response; 5.4 Impulse Response; 5.5 Step Response; 5.5.1 Numerical Example; 5.5.2 Time-Domain Solution; 5.5.3 Steady-State Response; 5.5.4 Transient Response; 5.6 Transient Response to Other Signals; 5.6.1 Ramp Response; 5.6.2 Frequency Response; 5.7 Effect of Stochastics; 5.8 Summary 5.9 Extended Examples |
| Record Nr. | UNINA-9910806139703321 |
|
Hellerstein Joseph L.
|
||
| [Piscataqay, New Jersey] : , : Wiley-IEEE Press, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Feedback Systems : An Introduction for Scientists and Engineers / / Richard M. Murray, Karl Johan Aström
| Feedback Systems : An Introduction for Scientists and Engineers / / Richard M. Murray, Karl Johan Aström |
| Autore | Aström Karl Johan |
| Pubbl/distr/stampa | Princeton, NJ : , : Princeton University Press, , [2010] |
| Descrizione fisica | 1 online resource (409 p.) |
| Disciplina |
629.8/3
629.83 |
| Soggetto topico | Feedback control systems |
| ISBN |
1-282-60796-0
9786612607967 1-4008-2873-2 |
| Classificazione | SK 880 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface / Åström, Karl Johan / Murray, Richard M. -- Chapter One. Introduction -- Chapter Two. System Modeling -- Chapter Three. Examples -- Chapter Four. Dynamic Behavior -- Chapter Five. Linear Systems -- Chapter Six. State Feedback -- Chapter Seven. Output Feedback -- Chapter Eight. Transfer Functions -- Chapter Nine. Frequency Domain Analysis -- Chapter Ten. PID Control -- Chapter Eleven. Frequency Domain Design -- Chapter Twelve. Robust Performance -- Bibliography -- Index |
| Record Nr. | UNINA-9910339014603321 |
|
Aström Karl Johan
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| Princeton, NJ : , : Princeton University Press, , [2010] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical control by monitoring and feedback adjustment [[electronic resource] /] / George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones
| Statistical control by monitoring and feedback adjustment [[electronic resource] /] / George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones |
| Autore | Box George E. P |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, 2009 |
| Descrizione fisica | 1 online resource (358 p.) |
| Disciplina |
629.8/3
629.83 |
| Altri autori (Persone) |
LuceñoAlberto
Paniagua-QuiñonesMaría del Carmen |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Feedback control systems
Process control - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-27393-4
9786613273932 1-118-16453-9 1-118-16446-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Control by Monitoring and Adjustment, Second Edition; Contents; Preface; 1 Introduction and Revision of Some Statistical Ideas; 1.1 Necessity for Process Control; 1.2 SPC and EPC; 1.3 Process Monitoring Without a Model; 1.4 Detecting a Signal in Noise; 1.5 Measurement Data; 1.6 Two Important Characteristics of a Probability Distribution; 1.7 Normal Distribution; 1.8 Normal Distribution Defined by μ and σ; 1.9 Probabilities Associated with Normal Distribution; 1.10 Estimating Mean and Standard Deviation from Data; 1.11 Combining Estimates of σ2
1.12 Data on Frequencies (Events): Poisson Distribution1.13 Normal Approximation to Poisson Distribution; 1.14 Data on Proportion Defective: Binomial Distribution; 1.15 Normal Approximation to Binomial Distribution; Appendix 1A: Central Limit Effect; Problems; 2 Standard Control Charts Under Ideal Conditions As a First Approximation; 2.1 Control Charts for Process Monitoring; 2.2 Control Chart for Measurement (Variables) Data; 2.3 Shewhart Charts for Sample Average and Range; 2.4 Shewhart Chart for Sample Range; 2.5 Process Monitoring With Control Charts for Frequencies 2.6 Data on Frequencies (Counts): Poisson Distribution2.7 Common Causes and Special Causes; 2.8 For What Kinds of Data Has the c Chart Been Used?; 2.9 Quality Control Charts for Proportions: p Chart; 2.10 EWMA Chart; 2.11 Process Monitoring Using Cumulative Sums; 2.12 Specification Limits, Target Accuracy, and Process Capability; 2.13 How Successful Process Monitoring can Improve Quality; Problems; 3 What Can Go Wrong and What Can We Do About It?; 3.1 Introduction; 3.2 Measurement Charts; 3.3 Need for Time Series Models; 3.4 Types of Variation; 3.5 Nonstationary Noise 3.6 Values for constants3.7 Frequencies and Proportions; 3.8 Illustration; 3.9 Robustness of EWMA; Appendix 3A: Alternative Forms of Relationships for EWMAs; Questions; 4 Introduction to Forecasting and Process Dynamics; 4.1 Forecasting with an EWMA; 4.2 Forecasting Sales of Dingles; 4.3 Pete's Rule; 4.4 Effect of Changing Discount Factor; 4.5 Estimating Best Discount Factor; 4.6 Standard Deviation of Forecast Errors and Probability Limits for Forecasts; 4.7 What to Do If You Do Not Have Enough Data to Estimate θ; 4.8 Introduction to Process Dynamics and Transfer Function 4.9 Dynamic Systems and Transfer Funtions4.10 Difference Equations to Represent Dynamic Relations; 4.11 Representing Dynamics of Industrial Process; 4.12 Transfer Function Models Using Difference Equations; 4.13 Stable and Unstable Systems; Problems; 5 Nonstationary Time Series Models for Process Disturbances; 5.1 Reprise; 5.2 Stationary Time Series Model in Which Successive Values Are Correlated; 5.3 Major Effects of Statistical Dependence: Illustration; 5.4 Random Walk; 5.5 How to Test a Forecasting Method; 5.6 Qualification of EWMA As a Forecast 5.7 Understanding Time Series Behavior with Variogram |
| Record Nr. | UNINA-9910139597903321 |
|
Box George E. P
|
||
| Hoboken, N.J., : John Wiley & Sons, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical control by monitoring and feedback adjustment [[electronic resource] /] / George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones
| Statistical control by monitoring and feedback adjustment [[electronic resource] /] / George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones |
| Autore | Box George E. P |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, 2009 |
| Descrizione fisica | 1 online resource (358 p.) |
| Disciplina |
629.8/3
629.83 |
| Altri autori (Persone) |
LuceñoAlberto
Paniagua-QuiñonesMaría del Carmen |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Feedback control systems
Process control - Statistical methods |
| ISBN |
1-283-27393-4
9786613273932 1-118-16453-9 1-118-16446-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Control by Monitoring and Adjustment, Second Edition; Contents; Preface; 1 Introduction and Revision of Some Statistical Ideas; 1.1 Necessity for Process Control; 1.2 SPC and EPC; 1.3 Process Monitoring Without a Model; 1.4 Detecting a Signal in Noise; 1.5 Measurement Data; 1.6 Two Important Characteristics of a Probability Distribution; 1.7 Normal Distribution; 1.8 Normal Distribution Defined by μ and σ; 1.9 Probabilities Associated with Normal Distribution; 1.10 Estimating Mean and Standard Deviation from Data; 1.11 Combining Estimates of σ2
1.12 Data on Frequencies (Events): Poisson Distribution1.13 Normal Approximation to Poisson Distribution; 1.14 Data on Proportion Defective: Binomial Distribution; 1.15 Normal Approximation to Binomial Distribution; Appendix 1A: Central Limit Effect; Problems; 2 Standard Control Charts Under Ideal Conditions As a First Approximation; 2.1 Control Charts for Process Monitoring; 2.2 Control Chart for Measurement (Variables) Data; 2.3 Shewhart Charts for Sample Average and Range; 2.4 Shewhart Chart for Sample Range; 2.5 Process Monitoring With Control Charts for Frequencies 2.6 Data on Frequencies (Counts): Poisson Distribution2.7 Common Causes and Special Causes; 2.8 For What Kinds of Data Has the c Chart Been Used?; 2.9 Quality Control Charts for Proportions: p Chart; 2.10 EWMA Chart; 2.11 Process Monitoring Using Cumulative Sums; 2.12 Specification Limits, Target Accuracy, and Process Capability; 2.13 How Successful Process Monitoring can Improve Quality; Problems; 3 What Can Go Wrong and What Can We Do About It?; 3.1 Introduction; 3.2 Measurement Charts; 3.3 Need for Time Series Models; 3.4 Types of Variation; 3.5 Nonstationary Noise 3.6 Values for constants3.7 Frequencies and Proportions; 3.8 Illustration; 3.9 Robustness of EWMA; Appendix 3A: Alternative Forms of Relationships for EWMAs; Questions; 4 Introduction to Forecasting and Process Dynamics; 4.1 Forecasting with an EWMA; 4.2 Forecasting Sales of Dingles; 4.3 Pete's Rule; 4.4 Effect of Changing Discount Factor; 4.5 Estimating Best Discount Factor; 4.6 Standard Deviation of Forecast Errors and Probability Limits for Forecasts; 4.7 What to Do If You Do Not Have Enough Data to Estimate θ; 4.8 Introduction to Process Dynamics and Transfer Function 4.9 Dynamic Systems and Transfer Funtions4.10 Difference Equations to Represent Dynamic Relations; 4.11 Representing Dynamics of Industrial Process; 4.12 Transfer Function Models Using Difference Equations; 4.13 Stable and Unstable Systems; Problems; 5 Nonstationary Time Series Models for Process Disturbances; 5.1 Reprise; 5.2 Stationary Time Series Model in Which Successive Values Are Correlated; 5.3 Major Effects of Statistical Dependence: Illustration; 5.4 Random Walk; 5.5 How to Test a Forecasting Method; 5.6 Qualification of EWMA As a Forecast 5.7 Understanding Time Series Behavior with Variogram |
| Record Nr. | UNINA-9910831048103321 |
|
Box George E. P
|
||
| Hoboken, N.J., : John Wiley & Sons, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical control by monitoring and feedback adjustment [[electronic resource] /] / George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones
| Statistical control by monitoring and feedback adjustment [[electronic resource] /] / George E.P. Box, Alberto Luceño, Maria del Carmen Paniagua-Quiñones |
| Autore | Box George E. P |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : John Wiley & Sons, 2009 |
| Descrizione fisica | 1 online resource (358 p.) |
| Disciplina |
629.8/3
629.83 |
| Altri autori (Persone) |
LuceñoAlberto
Paniagua-QuiñonesMaría del Carmen |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Feedback control systems
Process control - Statistical methods |
| ISBN |
1-283-27393-4
9786613273932 1-118-16453-9 1-118-16446-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Control by Monitoring and Adjustment, Second Edition; Contents; Preface; 1 Introduction and Revision of Some Statistical Ideas; 1.1 Necessity for Process Control; 1.2 SPC and EPC; 1.3 Process Monitoring Without a Model; 1.4 Detecting a Signal in Noise; 1.5 Measurement Data; 1.6 Two Important Characteristics of a Probability Distribution; 1.7 Normal Distribution; 1.8 Normal Distribution Defined by μ and σ; 1.9 Probabilities Associated with Normal Distribution; 1.10 Estimating Mean and Standard Deviation from Data; 1.11 Combining Estimates of σ2
1.12 Data on Frequencies (Events): Poisson Distribution1.13 Normal Approximation to Poisson Distribution; 1.14 Data on Proportion Defective: Binomial Distribution; 1.15 Normal Approximation to Binomial Distribution; Appendix 1A: Central Limit Effect; Problems; 2 Standard Control Charts Under Ideal Conditions As a First Approximation; 2.1 Control Charts for Process Monitoring; 2.2 Control Chart for Measurement (Variables) Data; 2.3 Shewhart Charts for Sample Average and Range; 2.4 Shewhart Chart for Sample Range; 2.5 Process Monitoring With Control Charts for Frequencies 2.6 Data on Frequencies (Counts): Poisson Distribution2.7 Common Causes and Special Causes; 2.8 For What Kinds of Data Has the c Chart Been Used?; 2.9 Quality Control Charts for Proportions: p Chart; 2.10 EWMA Chart; 2.11 Process Monitoring Using Cumulative Sums; 2.12 Specification Limits, Target Accuracy, and Process Capability; 2.13 How Successful Process Monitoring can Improve Quality; Problems; 3 What Can Go Wrong and What Can We Do About It?; 3.1 Introduction; 3.2 Measurement Charts; 3.3 Need for Time Series Models; 3.4 Types of Variation; 3.5 Nonstationary Noise 3.6 Values for constants3.7 Frequencies and Proportions; 3.8 Illustration; 3.9 Robustness of EWMA; Appendix 3A: Alternative Forms of Relationships for EWMAs; Questions; 4 Introduction to Forecasting and Process Dynamics; 4.1 Forecasting with an EWMA; 4.2 Forecasting Sales of Dingles; 4.3 Pete's Rule; 4.4 Effect of Changing Discount Factor; 4.5 Estimating Best Discount Factor; 4.6 Standard Deviation of Forecast Errors and Probability Limits for Forecasts; 4.7 What to Do If You Do Not Have Enough Data to Estimate θ; 4.8 Introduction to Process Dynamics and Transfer Function 4.9 Dynamic Systems and Transfer Funtions4.10 Difference Equations to Represent Dynamic Relations; 4.11 Representing Dynamics of Industrial Process; 4.12 Transfer Function Models Using Difference Equations; 4.13 Stable and Unstable Systems; Problems; 5 Nonstationary Time Series Models for Process Disturbances; 5.1 Reprise; 5.2 Stationary Time Series Model in Which Successive Values Are Correlated; 5.3 Major Effects of Statistical Dependence: Illustration; 5.4 Random Walk; 5.5 How to Test a Forecasting Method; 5.6 Qualification of EWMA As a Forecast 5.7 Understanding Time Series Behavior with Variogram |
| Record Nr. | UNINA-9910841317703321 |
|
Box George E. P
|
||
| Hoboken, N.J., : John Wiley & Sons, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Switching and Learning in Feedback Systems [[electronic resource] ] : European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers / / edited by Roderick Murray-Smith, Robert Shorten
| Switching and Learning in Feedback Systems [[electronic resource] ] : European Summer School on Multi-Agent Control, Maynooth, Ireland, September 8-10, 2003, Revised Lectures and Selected Papers / / edited by Roderick Murray-Smith, Robert Shorten |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (X, 346 p.) |
| Disciplina | 629.8/3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer simulation Artificial intelligence Computers, Special purpose Computer science—Mathematics Mathematical statistics Dynamical systems Theory of Computation Computer Modelling Artificial Intelligence Special Purpose and Application-Based Systems Probability and Statistics in Computer Science Dynamical Systems |
| ISBN | 3-540-30560-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Switching and Control -- From Feedback Control to Complexity Management: A Personal Perspective -- Convex Cones, Lyapunov Functions, and the Stability of Switched Linear Systems -- Survey of Explicit Approaches to Constrained Optimal Control -- Gaussian Processes -- Analysis of Some Methods for Reduced Rank Gaussian Process Regression -- Filtered Gaussian Processes for Learning with Large Data-Sets -- Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models -- Gaussian Processes: Prediction at a Noisy Input and Application to Iterative Multiple-Step Ahead Forecasting of Time-Series -- Nonlinear Predictive Control with a Gaussian Process Model -- Applications of Switching & Learning -- Control of Yaw Rate and Sideslip in 4-Wheel Steering Cars with Actuator Constraints -- A Second-Order Cone Bounding Algorithm for Robust Minimum Variance Beamforming -- Joint Optimization of Wireless Communication and Networked Control Systems -- Reconciliation of Inconsistencies in the Theory of Linear Systems -- An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning -- Simultaneous Localization and Surveying with Multiple Agents -- Hex: Dynamics and Probabilistic Text Entry. |
| Record Nr. | UNISA-996465773203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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