Decentralized Neural Control: Application to Robotics / / by Ramon Garcia-Hernandez, Michel Lopez-Franco, Edgar N. Sanchez, Alma y. Alanis, Jose A. Ruz-Hernandez |
Autore | Garcia-Hernandez Ramon |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XV, 111 p. 54 illus., 3 illus. in color.) |
Disciplina | 006.32 |
Collana | Studies in Systems, Decision and Control |
Soggetto topico |
Computational intelligence
Control engineering Robotics Automation Computational Intelligence Control and Systems Theory Robotics and Automation |
ISBN | 3-319-53312-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Foundations -- Decentralized Neural Block Control -- Decentralized Neural Backstepping Control -- Decentralized Inverse Optimal Control for Stabilization: a CLF Approach -- Decentralized Inverse Optimal Control for Trajectory Tracking -- Robotics Application -- Conclusions. |
Record Nr. | UNINA-9910163992203321 |
Garcia-Hernandez Ramon | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Differential neural networks for robust nonlinear control [[electronic resource] ] : identification, state estimation and trajectory tracking / / Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
Autore | Poznyak Alexander S |
Pubbl/distr/stampa | Singapore ; ; River Edge NJ, : World Scientific, c2001 |
Descrizione fisica | 1 online resource (455 p.) |
Disciplina | 006.32 |
Altri autori (Persone) |
YuWen, profesor titular
SanchezEdgar N |
Soggetto topico |
Neural networks (Computer science)
Nonlinear control theory |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-95673-2
9786611956738 981-281-129-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents ; 0.1 Abstract ; 0.2 Preface ; 0.3 Acknowledgments ; 0.4 Introduction ; 0.4.1 Guide for the Readers ; 0.5 Notations ; I Theoretical Study ; 1 Neural Networks Structures ; 1.1 Introduction ; 1.2 Biological Neural Networks ; 1.3 Neuron Model
1.4 Neural Networks Structures 1.4.1 Single-Layer Feedforward Networks ; 1.4.2 Multilayer Feedforward Neural Networks ; 1.4.3 Radial Basis Function Neural Networks ; 1.4.4 Recurrent Neural Networks ; 1.4.5 Differential Neural Networks ; 1.5 Neural Networks in Control 1.5.1 Identification 1.5.2 Control ; 1.6 Conclusions ; 1.7 References ; 2 Nonlinear System Identification: Differential Learning ; 2.1 Introduction ; 2.2 Identification Error Stability Analysis for Simplest Differential Neural Networks without Hidden Layers 2.2.1 Nonlinear System and Differential Neural Network Model 2.2.2 Exact Neural Network Matching with Known Linear Part ; 2.2.3 Non-exact Neural Networks Modelling: Bounded Unmodelled Dynamics Case 2.2.4 Estimation of Maximum Value of Identification Error for Nonlinear Systems with Bounded Unmodelled Dynamics 2.3 Multilayer Differential Neural Networks for Nonlinear System On-line Identification ; 2.3.1 Multilayer Structure of Differential Neural Networks 2.3.2 Complete Model Matching Case |
Record Nr. | UNINA-9910454368603321 |
Poznyak Alexander S | ||
Singapore ; ; River Edge NJ, : World Scientific, c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Differential neural networks for robust nonlinear control [[electronic resource] ] : identification, state estimation and trajectory tracking / / Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
Autore | Poznyak Alexander S |
Pubbl/distr/stampa | Singapore ; ; River Edge NJ, : World Scientific, c2001 |
Descrizione fisica | 1 online resource (455 p.) |
Disciplina | 006.32 |
Altri autori (Persone) |
YuWen, profesor titular
SanchezEdgar N |
Soggetto topico |
Neural networks (Computer science)
Nonlinear control theory |
ISBN |
1-281-95673-2
9786611956738 981-281-129-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents ; 0.1 Abstract ; 0.2 Preface ; 0.3 Acknowledgments ; 0.4 Introduction ; 0.4.1 Guide for the Readers ; 0.5 Notations ; I Theoretical Study ; 1 Neural Networks Structures ; 1.1 Introduction ; 1.2 Biological Neural Networks ; 1.3 Neuron Model
1.4 Neural Networks Structures 1.4.1 Single-Layer Feedforward Networks ; 1.4.2 Multilayer Feedforward Neural Networks ; 1.4.3 Radial Basis Function Neural Networks ; 1.4.4 Recurrent Neural Networks ; 1.4.5 Differential Neural Networks ; 1.5 Neural Networks in Control 1.5.1 Identification 1.5.2 Control ; 1.6 Conclusions ; 1.7 References ; 2 Nonlinear System Identification: Differential Learning ; 2.1 Introduction ; 2.2 Identification Error Stability Analysis for Simplest Differential Neural Networks without Hidden Layers 2.2.1 Nonlinear System and Differential Neural Network Model 2.2.2 Exact Neural Network Matching with Known Linear Part ; 2.2.3 Non-exact Neural Networks Modelling: Bounded Unmodelled Dynamics Case 2.2.4 Estimation of Maximum Value of Identification Error for Nonlinear Systems with Bounded Unmodelled Dynamics 2.3 Multilayer Differential Neural Networks for Nonlinear System On-line Identification ; 2.3.1 Multilayer Structure of Differential Neural Networks 2.3.2 Complete Model Matching Case |
Record Nr. | UNINA-9910782393603321 |
Poznyak Alexander S | ||
Singapore ; ; River Edge NJ, : World Scientific, c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Differential neural networks for robust nonlinear control : identification, state estimation and trajectory tracking / / Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
Autore | Poznyak Alexander S |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore ; ; River Edge NJ, : World Scientific, c2001 |
Descrizione fisica | 1 online resource (455 p.) |
Disciplina | 006.32 |
Altri autori (Persone) |
YuWen, profesor titular
SanchezEdgar N |
Soggetto topico |
Neural networks (Computer science)
Nonlinear control theory |
ISBN |
1-281-95673-2
9786611956738 981-281-129-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents ; 0.1 Abstract ; 0.2 Preface ; 0.3 Acknowledgments ; 0.4 Introduction ; 0.4.1 Guide for the Readers ; 0.5 Notations ; I Theoretical Study ; 1 Neural Networks Structures ; 1.1 Introduction ; 1.2 Biological Neural Networks ; 1.3 Neuron Model
1.4 Neural Networks Structures 1.4.1 Single-Layer Feedforward Networks ; 1.4.2 Multilayer Feedforward Neural Networks ; 1.4.3 Radial Basis Function Neural Networks ; 1.4.4 Recurrent Neural Networks ; 1.4.5 Differential Neural Networks ; 1.5 Neural Networks in Control 1.5.1 Identification 1.5.2 Control ; 1.6 Conclusions ; 1.7 References ; 2 Nonlinear System Identification: Differential Learning ; 2.1 Introduction ; 2.2 Identification Error Stability Analysis for Simplest Differential Neural Networks without Hidden Layers 2.2.1 Nonlinear System and Differential Neural Network Model 2.2.2 Exact Neural Network Matching with Known Linear Part ; 2.2.3 Non-exact Neural Networks Modelling: Bounded Unmodelled Dynamics Case 2.2.4 Estimation of Maximum Value of Identification Error for Nonlinear Systems with Bounded Unmodelled Dynamics 2.3 Multilayer Differential Neural Networks for Nonlinear System On-line Identification ; 2.3.1 Multilayer Structure of Differential Neural Networks 2.3.2 Complete Model Matching Case |
Record Nr. | UNINA-9910816004603321 |
Poznyak Alexander S | ||
Singapore ; ; River Edge NJ, : World Scientific, c2001 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|