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 |
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 : 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 | 629.8/36 |
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-9910876607803321 |
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 |
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 |
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 |
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 | ||
|
All-optical noninvasive delayed feedback control of semiconductor lasers / / Sylvia Schikora |
Autore | Schikora Sylvia |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Wiesbaden, : Springer Spektrum, c2013 |
Descrizione fisica | 1 online resource (118 p.) |
Disciplina | 621.36 |
Soggetto topico |
Semiconductor lasers
Feedback control systems |
ISBN | 3-658-01540-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | All-Optical Control Setup -- Stable States with Resonant Fabry-Perot Feedback -- Control of an Unstable Stationary State -- Control of Unstable Self-Pulsations -- Controlling Chaos -- Control of a Torsionfree Orbit. |
Record Nr. | UNINA-9910739419003321 |
Schikora Sylvia | ||
Wiesbaden, : Springer Spektrum, c2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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. | ||
New York : McGraw-Hill Book Co. ; Tokyo : Kogakusha Company, 1960 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
The Art of Reinforcement Learning : 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 | ||
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|