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Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou
| Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
| Autore | Farrell Jay |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (440 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | PolycarpouMarios |
| Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
| Soggetto topico |
Adaptive control systems
Feedback control systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
| Record Nr. | UNINA-9910143397203321 |
Farrell Jay
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou
| Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
| Autore | Farrell Jay |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (440 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | PolycarpouMarios |
| Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
| Soggetto topico |
Adaptive control systems
Feedback control systems |
| ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
| Record Nr. | UNINA-9910830081303321 |
|
Farrell Jay
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou
| Adaptive approximation based control [[electronic resource] ] : unifying neural, fuzzy and traditional adaptive approximation approaches / / Jay A. Farrell, Marios M. Polycarpou |
| Autore | Farrell Jay |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2006 |
| Descrizione fisica | 1 online resource (440 p.) |
| Disciplina | 629.8 |
| Altri autori (Persone) | PolycarpouMarios |
| Collana | Wiley series in adaptive and learning systems for signal processing, communication and control |
| Soggetto topico |
Adaptive control systems
Feedback control systems |
| ISBN |
1-280-44804-0
9786610448043 0-470-32501-1 0-471-78181-9 0-471-78180-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ADAPTIVE APPROXIMATlON BASED CONTROL; CONTENTS; Preface; 1 Introduction; 1.1 Systems and Control Terminology; 1.2 Nonlinear Systems; 1.3 Feedback Control Approaches; 1.3.1 Linear Design; 1.3.2 Adaptive Linear Design; 1.3.3 Nonlinear Design; 1.3.4 Adaptive Approximation Based Design; 1.3.5 Example Summary; 1.4 Components of Approximation Based Control; 1.4.1 Control Architecture; 1.4.2 Function Approximator; 1.4.3 Stable Training Algorithm; 1.5 Discussion and Philosophical Comments; 1.6 Exercises and Design Problems; 2 Approximation Theory; 2.1 Motivating Example; 2.2 Interpolation
2.3 Function Approximation2.3.1 Offline (Batch) Function Approximation; 2.3.2 Adaptive Function Approximation; 2.4 Approximator Properties; 2.4.1 Parameter (Non) Linearity; 2.4.2 Classical Approximation Results; 2.4.3 Network Approximators; 2.4.4 Nodal Processors; 2.4.5 Universal Approximator; 2.4.6 Best Approximator Property; 2.4.7 Generalization; 2.4.8 Extent of Influence Function Support; 2.4.9 Approximator Transparency; 2.4.10 Haar Conditions; 2.4.11 Multivariable Approximation by Tensor Products; 2.5 Summary; 2.6 Exercises and Design Problems; 3 Approximation Structures; 3.1 Model Types 3.1.1 Physically Based Models3.1.2 Structure (Model) Free Approximation; 3.1.3 Function Approximation Structures; 3.2 Polynomials; 3.2.1 Description; 3.2.2 Properties; 3.3 Splines; 3.3.1 Description; 3.3.2 Properties; 3.4 Radial Basis Functions; 3.4.1 Description; 3.4.2 Properties; 3.5 Cerebellar Model Articulation Controller; 3.5.1 Description; 3.5.2 Properties; 3.6 Multilayer Perceptron; 3.6.1 Description; 3.6.2 Properties; 3.7 Fuzzy Approximation; 3.7.1 Description; 3.7.2 Takagi-Sugeno Fuzzy Systems; 3.7.3 Properties; 3.8 Wavelets; 3.8.1 Multiresolution Analysis (MRA); 3.8.2 MRA Properties 3.9 Further Reading3.10 Exercises and Design Problems; 4 Parameter Estimation Methods; 4.1 Formulation for Adaptive Approximation; 4.1.1 Illustrative Example; 4.1.2 Motivating Simulation Examples; 4.1.3 Problem Statement; 4.1.4 Discussion of Issues in Parametric Estimation; 4.2 Derivation of Parametric Models; 4.2.1 Problem Formulation for Full-State Measurement; 4.2.2 Filtering Techniques; 4.2.3 SPR Filtering; 4.2.4 Linearly Parameterized Approximators; 4.2.5 Parametric Models in State Space Form; 4.2.6 Parametric Models of Discrete-Time Systems 4.2.7 Parametric Models of Input-Output Systems4.3 Design of Online Learning Schemes; 4.3.1 Error Filtering Online Learning (EFOL) Scheme; 4.3.2 Regressor Filtering Online Learning (RFOL) Scheme; 4.4 Continuous-Time Parameter Estimation; 4.4.1 Lyapunov-Based Algorithms; 4.4.2 Optimization Methods; 4.4.3 Summary; 4.5 Online Learning: Analysis; 4.5.1 Analysis of LIP EFOL Scheme with Lyapunov Synthesis Method; 4.5.2 Analysis of LIP RFOL Scheme with the Gradient Algorithm; 4.5.3 Analysis of LIP RFOL Scheme with RLS Algorithm; 4.5.4 Persistency of Excitation and Parameter Convergence 4.6 Robust Learning Algorithms |
| Record Nr. | UNINA-9910841512703321 |
|
Farrell Jay
|
||
| Hoboken, N.J., : Wiley-Interscience, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced techniques and technology of computer-aided feedback control / / Jean Mbihi
| Advanced techniques and technology of computer-aided feedback control / / Jean Mbihi |
| Autore | Mbihi Jean |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Iste Ltd/John Wiley and Sons Inc., , 2018 |
| Descrizione fisica | 1 online resource (259 pages) |
| Disciplina | 629.83 |
| Soggetto topico |
Feedback control systems
Automatic control |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-52832-1
1-119-52835-6 1-119-45295-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555173603321 |
|
Mbihi Jean
|
||
| Hoboken, New Jersey : , : Iste Ltd/John Wiley and Sons Inc., , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced techniques and technology of computer-aided feedback control / / Jean Mbihi
| Advanced techniques and technology of computer-aided feedback control / / Jean Mbihi |
| Autore | Mbihi Jean |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Iste Ltd/John Wiley and Sons Inc., , 2018 |
| Descrizione fisica | 1 online resource (259 pages) |
| Disciplina | 629.83 |
| Soggetto topico |
Feedback control systems
Automatic control |
| ISBN |
1-119-52832-1
1-119-52835-6 1-119-45295-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830297803321 |
|
Mbihi Jean
|
||
| Hoboken, New Jersey : , : Iste Ltd/John Wiley and Sons Inc., , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in analysis and control of time-delayed dynamical systems / / edited by Jian-Qiao Sun, Qiang Ding
| Advances in analysis and control of time-delayed dynamical systems / / edited by Jian-Qiao Sun, Qiang Ding |
| Pubbl/distr/stampa | Singapore : , : World Scientific Publishing Company, , [2013] |
| Descrizione fisica | 1 online resource (355 p.) |
| Disciplina | 629.83 |
| Altri autori (Persone) |
DingQiang
SunJian-Qiao |
| Soggetto topico |
Feedback control systems
Time delay systems |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-4525-50-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 Complete Quadratic Lyapunov-Krasovskii Functional: Limitations, Computational Efficiency, and Convergence Keqin Gu; 1. Introduction; 2. Complete Quadratic Lyapunov-Krasovskii Functional; 3. Discretized Lyapunov Functional Method; 4. Coupled Differential-difference Equations; 5. Miscellaneous Issues; 5.1. Computational Efficiency; 5.2. Convergence Issue for Multiple Neutral Delays; 5.3. Lyapunov-Krasovskii Functionals Containing State Derivatives; 6. SOS Method; 7. Conclusions and Perspectives; References
Chapter 2 Recent Approaches for the Numerical Solution of State-dependent Delay Differential Equations with Discontinuities Alfredo Bellen1. Introduction; 2. Weak Solutions; 3. Regularization Techniques; 4. Comparing Regularizations; References; Chapter 3 Engineering Applications of Time-periodic Time-delayed Systems Gabor Stepan; 1. Introduction; 2. Delayed Mathieu Equation; 3. Semi-discretization Method for Periodic DDEs; 4. Engineering Applications; 4.1. Modeling and Stability of Milling Operations; 4.2. Cutting with Varying Spindle Speed 4.3. Act-and-wait Control of Force Controlled Robots5. Conclusions; References; Chapter 4 Synchronization in Delay-coupled Complex Networks Eckehard Scholl; 1. Introduction; 2. Stability of Synchronization for Large Delay; 3. Cluster Synchronization; 4. Adaptive Synchronization; 4.1. Speed-gradient Method; 4.2. Zero-lag Synchronization; 4.3. Splay State and Cluster Synchronization; 4.4. Controlling Several Parameters Simultaneously; 5. Transitions between Synchronization and Desychronization; 5.1. Excitability of Type II; 5.2. Excitability of Type I; 6. Conclusion and Outlook; References Chapter 5 Stochastic Dynamics and Optimal Control of Quasi Integrable Hamiltonian Systems with Time-delayed Feedback Control Weiqiu Zhu, Zhonghua Liu1. Introduction; 2. Stochastic Averaging Method for Quasi Integrable Hamiltonian Systems with Time-delayed Feedback Control; 2.1. Gaussian White Noise Excitations; 2.1.1. Non-resonant Case; 2.1.2. Resonant Case; 2.2. Wide-band Random Excitations; 2.2.1. Non-resonant Case; 2.2.2. Resonant Case; 2.3. Narrow-band Bounded Noise Excitation; 2.3.1. External Resonance Only; 2.3.2. Both Internal and External Resonances 2.4. Combined Excitations of Harmonic Function and One Kind of above Random Processes2.4.1. Internal Resonance Only; 2.4.2. External Resonance Only; 2.4.3. Both Internal and External Resonances; 3. Stochastic Dynamics of Quasi Integrable Hamiltonian Systems with Time-delayed Feedback Control; 3.1. Response; 3.2. Stochastic Stability; 3.3. Stochastic Bifurcation; 3.4. First Passage Failure; 3.4.1. Gaussian White Noise Excitation; 4. Stochastic Optimal Control of Quasi Integrable Hamiltonian Systems with Time-delayed Feedback Control; 4.1. Response Minimization Control; 4.2. Stabilization 4.3. Minimax Optimal Bounded Control |
| Record Nr. | UNINA-9910453633703321 |
| Singapore : , : World Scientific Publishing Company, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis and design of feedback control systems / Robert G. Brown, George J. Thaler
| Analysis and design of feedback control systems / Robert G. Brown, George J. Thaler |
| Autore | Brown, Robert G. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | New York : McGraw-Hill Book Co. ; Tokyo : Kogakusha Company, 1960 |
| Descrizione fisica | xiii, 648 p. : ill. ; 24 cm. |
| Altri autori (Persone) | Thaler, George J.author |
| Collana | McGraw-Hill electrical and electronic engineering series |
| Soggetto topico | Feedback control systems |
| Classificazione |
621.3.1
621.3.6 629.83 TJ213.T49 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000810359707536 |
|
Brown, Robert G.
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||
| New York : McGraw-Hill Book Co. ; Tokyo : Kogakusha Company, 1960 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
The Art of Reinforcement Learning [[electronic resource] ] : Fundamentals, Mathematics, and Implementations with Python / / by Michael Hu
| The Art of Reinforcement Learning [[electronic resource] ] : Fundamentals, Mathematics, and Implementations with Python / / by Michael Hu |
| Autore | Hu Michael |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 |
| Descrizione fisica | 1 online resource (290 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Reinforcement learning
Feedback control systems Python (Computer program language) |
| ISBN | 1-4842-9606-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Foundation -- Chapter 1: Introduction to Reinforcement Learning -- Chapter 2: Markov Decision Processes -- Chapter 3: Dynamic Programming -- Chapter 4: Monte Carlo Methods -- Chapter 5: Temporal Difference Learning -- Part II: Value Function Approximation -- Chapter 6: Linear Value Function Approximation -- Chapter 7: Nonlinear Value Function Approximation -- Chapter 8: Improvement to DQN -- Part III: Policy Approximation -- Chapter 9: Policy Gradient Methods -- Chapter 10: Problems with Continuous Action Space -- Chapter 11: Advanced Policy Gradient Methods -- Part IV: Advanced Topics -- Chapter 12: Distributed Reinforcement Learning -- Chapter 13: Curiosity-Driven Exploration -- Chapter 14: Planning with a Model – AlphaZero. |
| Record Nr. | UNINA-9910770270703321 |
|
Hu Michael
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Automation and Control / / Constanin Volosencu, [and three others], editors
| Automation and Control / / Constanin Volosencu, [and three others], editors |
| Pubbl/distr/stampa | London : , : IntechOpen, , 2021 |
| Descrizione fisica | 1 online resource (420 pages) |
| Disciplina | 629.8312 |
| Soggetto topico |
Control theory
Feedback control systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910688337103321 |
| London : , : IntechOpen, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beginning MATLAB and Simulink : from beginner to pro / / Sulaymon Eshkabilov
| Beginning MATLAB and Simulink : from beginner to pro / / Sulaymon Eshkabilov |
| Autore | Eshkabilov Sulaymon |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | New York, New York : , : Apress, , [2022] |
| Descrizione fisica | 1 online resource (627 pages) |
| Disciplina | 620.00151 |
| Soggetto topico |
Programming languages (Electronic computers)
Image processing - Digital techniques Image processing - Mathematics Feedback control systems |
| ISBN | 1-4842-8748-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Table of Contents -- About the Author -- About the Technical Reviewers -- Acknowledgments -- Introduction -- Chapter 1: Introduction to MATLAB -- Menu Panel and Help -- The MATLAB Environment -- Working in the Command Window -- Command Window and Variables -- Using Variables -- When to Use the Command Window -- Different Variables and Data Sets in MATLAB -- Numerical Data/Arrays -- Not a Number -- Character Type of Variables -- Function Handle -- Logical Arrays -- Table Arrays -- Cell Arrays -- Structure Arrays -- Complex Numbers -- Precision -- M-file and MLX-file Editors -- M-file Editor -- MLX-file Editor -- % Comments -- Closing the MATLAB Window -- Summary -- References -- Exercises for Self-Testing -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Exercise 6 -- Exercise 7 -- Exercise 8 -- Exercise 9 -- Exercise 10 -- Exercise 11 -- Exercise 12 -- Exercise 13 -- Exercise 14 -- Exercise 15 -- Exercise 16 -- Exercise 17 -- Exercise 18 -- Exercise 19 -- Exercise 20 -- Exercise 21 -- Exercise 22 -- Exercise 23 -- Exercise 24 -- Exercise 25 -- Exercise 26 -- Exercise 27 -- Exercise 28 -- Exercise 29 -- Exercise 30 -- Exercise 31 -- Exercise 32 -- Exercise 33 -- Exercise 34 -- Exercise 35 -- Exercise 36 -- Exercise 37 -- Exercise 38 -- Exercise 39 -- Exercise 40 -- Exercise 41 -- Exercise 42 -- Exercise 43 -- Exercise 44 -- Exercise 45 -- Chapter 2: Programming Essentials -- Writing M/MLX-Files -- How to Create an M/MLX-File -- Warnings in Scripts -- Errors in Scripts -- Example 1 -- Example 2 -- Example 3 -- Example 4 -- Example 5 -- Cell Mode -- Debugging Mode -- M-Lint Code Check -- Code Profiling -- Dependency Report -- P-Codes -- Some Remarks on Scripts/M/MLX-Files -- Display and Print Operators: display, sprintf, and fprintf -- Example 1 -- Example 2 -- fprintf( ).
Control Statements: [if, else, elseif, end], [switch, case, end] -- Example 1 -- Example 2 -- Example 3 -- Case 1 -- Case 2 -- Case 3 -- Example 4 -- Loop Control Statements: while, for, continue, break, end -- Example 1 -- Example 2 -- Example 3 -- Example 4 -- Example 5 -- Example 6 -- Example 7 -- Example 8 -- Example 9 -- Example 10 -- Example 11 -- Memory Allocation -- Example 12 -- Example 13 -- Example 14 -- Example 15 -- Example 16 -- Example 17 -- Example 18 -- Example 19 -- Symbol References in Programming -- Asterisk -- At Sign -- Colon -- Comma -- Curly Brackets -- Dollar Sign -- Dot -- Dot-Dot -- Dot-Dot-Dot (Ellipsis) -- Parentheses -- Percent -- Semicolon -- Single Quotes -- Slash and Backslash -- Square Brackets -- Function Files -- Example 1 -- Example 2 -- Example 3 -- Example 4 -- Most Common Errors with the Function Files -- Varying Number of Inputs and Outputs -- Example 5 -- Example 6 -- Example 7 -- Task 1 -- Task 2 -- Nested and Subfunctions of Function Files -- Example 8 -- Function Files Within M-Files -- Example 9 -- Summary of Scripts and Function Files -- Inline Functions -- Example 1 -- Example 2 -- Example 3 -- Anonymous Functions with Handles -- Example 1 -- Example 2 -- Example 3 -- Summary -- Exercises for Self-Testing -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Exercise 6 -- Exercise 7 -- Exercise 8 -- Exercise 9 -- Exercise 10 -- Exercise 11 -- Exercise 12 -- Exercise 13 -- Exercise 14 -- Exercise 15 -- Exercise 16 -- Exercise 17 -- Exercise 18 -- Exercise 19 -- Exercise 20 -- Exercise 21 -- Exercise 22 -- Exercise 23 -- Exercise 24 -- Exercise 25 -- Exercise 26 -- Exercise 27 -- Chapter 3: Graphical User Interface Model Development -- GUIDE -- Example 1: Building a 2D Plot -- Example 2: Adding Functionality -- Exporting the GUIDE GUI into App Designer. Example 3: Solving a Quadratic Equation -- Building the GUI -- Editing the Callback Functions -- GUI Dialogs and Message Boxes -- Error Dialog -- Warning Message -- F1 Help/Message Box -- General Syntax -- Input Dialog -- Question Dialog -- Making a Choice -- Providing Input to an Equation -- Summary -- Exercises for Self-Testing -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Chapter 4: MEX Files, C/C++, and Stand-Alone Applications -- Verifying Compilers -- Generating C Code -- Creating MEX Files from Other Languages -- Building Stand-Alone Applications -- Summary -- Exercises for Self-Testing -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Chapter 5: Simulink Modeling Essentials -- Simulink Modeling -- Example: Arithmetic Calculations -- Example: Modeling Simple Arithmetic Operations -- Performing Matrix Operations -- Computing Values of Functions -- Input/Output Signals from/to the MATLAB Workspace -- Simulating a Mechanical System -- Working with a Second-Order Differential Equation -- Subsystem in Simulink Modeling -- Simulink Model Analysis and Diagnostics -- Code Generation -- Model Advisor -- Summary -- Exercises for Self-Testing -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Chapter 6: Plots and Data Visualization -- Basics of Plot Building -- PLOT() -- Example 1: Plotting Two Rows of Data -- Example 2: Plotting Function Values -- Example 3: Building a Histogram -- Example 4: Building a Bar Chart -- Example 5: Building a 3D Pie Chart -- TITLE, XLABEL, YLABEL, AXIS, GRID, and LEGEND -- TITLE() -- XLABEL, YLABEL, and ZLABEL -- AXIS -- GRID -- Example 6: Plotting a Unit Circle with Plot Tools -- LINE and MARKER Specifiers -- Example 7: Plotting Sine Function Values with Plot Tools -- Special Characters -- Example 8: Plotting Sine Function Values with Plot Tools. Plot Two Data Sets in Two Y-Y Axes -- Example 9: Plotting Two Function Values on Y-Y Axes -- Subplots -- Example 10: Building Subplots of Functions -- LEGEND -- HOLD -- Example 11: Plotting a Few Function Values in One Plot -- Example 12: Plotting Function Values with Different Line Markers and Colors -- Example 13: Bar Chart of Data with Standard Deviation -- Example 14: Bar Chart of Data with Values Shown -- Example 15: Bar Chart of Data with NaN Values Shown and Axis Tick Labels Off -- EZPLOT, FPLOT, and FIMPLICIT with Function Handles (@) -- Example 16: Plotting a Mathematical Expression with ezplot() -- GTEXT, TEXT, and GINPUT -- Example 17: Locate and Display Minimum Values of a Function Plot in a Plot Figure -- Axis Ticks and Tick Labels -- Example 18: Display X-Axis Tick Labels -- Figure Handles -- Example 19: Working with Figure Handles -- 3D Surface Plots -- Example 20: Creating a 3D Pie Plot with pie() -- Example 21: Creating a 3D Surface Plot with ezsurf() -- Example 22: Creating a 3D Mesh Plot with ezmesh() -- Example 23: Creating a 3D Surface-Contour Plot with ezsurfc(), fsurf(), and surfc() -- Example 24: Creating a 3D Plot of an Electric Potential Field -- Example 25: Creating 3D Plots with waterfall(), ribbon(), meshc(), contour() -- Save Plot Figure with saveas() -- 3D Line Plots and Animations -- Example 26: Building 3D Line Plots and Animated 3D Line Plots with plot3(), comet3(), and ezplot3() -- Animated Plots -- Example 27: Building an Animated Plot with getframe() -- Example 28: Building an Animated Plot with drawnow -- Example 29: Building an Animated Plot with drawnow -- Example 30: Building an Animated Plot of a Projectile with getframe() -- Summary -- Exercises for Self-Testing -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Exercise 5 -- Exercise 6 -- Exercise 7 -- Exercise 8 -- Exercise 9 -- Exercise 10. Exercise 11 -- Exercise 12 -- Exercise 13 -- Exercise 14 -- Exercise 15 -- Exercise 16 -- Exercise 17 -- Exercise 18 -- Exercise 19 -- Exercise 20 -- Exercise 21 -- Exercise 22 -- Exercise 23 -- Exercise 24 -- Exercise 25 -- Chapter 7: Linear Algebra -- Introduction to Linear Algebra -- Matrix Properties and Operators -- Simulink Blocks for Matrix Determinant, Diagonal Extraction, and Transpose -- Matrix Inverse or Inverse Matrix -- Simulink Blocks for Inverse Matrix -- Example 1: Solving a System of Linear Equations -- Simulink Modeling -- Example 2: Embedding a MATLAB Function Block to Compute the Determinant and Solve Linear Equations -- Example 3: Accuracy of Solver Functions of Linear Equations -- Example 4: Efficiency of Solver Functions of Linear Equations -- Example 5: Solving Linear Equations ([A]{x} = [b]) by Changing Values of [b] -- Example 6: Linear Equations ([A]{x} = [b]) Applied for the Least Squares Method -- Example 7: Linear Equations ([A]{x} = [b]) Applied for the Least Squares Method -- Example 8: Linear Equations ([A]{x} = [b]) Applied for the Least Squares Method Using Simulink Modeling -- Matrix Operations -- Example: Performing Matrix Operations -- Standard Matrix Generators -- Vector Spaces -- Polynomials Represented by Vectors -- Simulink Model-Based Solution of Polynomials -- Eigen-Values and Eigen-Vectors -- Matrix Decomposition -- QR Decomposition -- Example: Computing QR Decomposition of a 5-by-5 Matrix -- LU Decomposition -- Example: Computing LU Composition of a 3-by-3 Pascal Matrix -- Example: Solving [A]{x}=[b] Using LU Composition -- Cholesky Decomposition -- Schur Decomposition -- Singular Value Decomposition -- Logic Operators, Indexes, and Conversions -- Logical Indexing -- Example: Logical Indexing to Locate and Substitute Elements of [A] Matrix -- Conversions -- Example: Creating Character Strings with char(). Summary. |
| Record Nr. | UNINA-9910629278603321 |
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Eshkabilov Sulaymon
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| New York, New York : , : Apress, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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